The document discusses how genomics and blockchain technologies will transform healthcare by making genomic data and insights more accessible and affordable globally. It describes Shivom's vision of creating a genomic data ecosystem where individuals own and can choose to share their genomic data securely via blockchain, and how this could benefit research, precision medicine and personalized healthcare. Key features of the Shivom platform include genome sequencing and storage, a marketplace for healthcare services, and tools to incentivize data sharing and collaboration between individuals, researchers and organizations.
Make DNA data actionable - Festival of Genomics London 2018Omar Fogliadini
The document discusses the emerging field of genomic medicine and direct-to-consumer genetic testing. It notes that the cost of genome sequencing has dropped dramatically in recent years, enabling more people to access their genetic data. However, most doctors currently lack training in genomics and the implications of genetic testing. The development of genomic medicine will require greater integration of genetics into healthcare systems and medical education. The document also examines some of the challenges in ensuring patients and doctors can properly understand and act on genetic results.
The Extreme Future of Health Care 2014James Canton
Radical trends in health care and medicine will change business and society. This presentation fresh from Dr. James Canton's New Keynote Presentation and from his upcoming new book looks at the trends in biotech, synthetic biology, digital health, genomics, wellness and regenerative medicine that will shape the near future of our world and health. Find out what's next and how to prepare today. For more info see http://globalfuturist.com
Presentation "The Impact of All Data on Healthcare"
Keith Perry
Associate VP & Deputy CIO
UT MD Anderson Cancer Center
With continuing advancement in both technology and medicine, the drive is on to make all data meaningful to drive medical discovery and create actionable outcomes. With tools and capabilities to capture more data than ever before, the challenge becomes linking existing structured and unstructured clinical data with genomic data to increase the industry’s analytical footprint.
Learning Objectives:
∙ Discuss the need to make all data meaningful in order to speed discovery of new knowledge
∙ Provide examples of an analytical direction that supports evolution in medicine
∙ Expose the challenges facing the industry with respect to ~omits
"US Cancer Vaccine Market Outlook 2020" Report Highlight:
US Cancer Vaccine Market Analysis
Cancer Vaccine with Orphan Status
US Cancer Vaccine Clinical Pipeline by Company, Indication & Phase
US Cancer Vaccine Clinical Pipeline: 187 Vaccines
Clinical Insight of Marketed Cancer Vaccines in US
Marketed Cancer Vaccine in US: 5 Vaccines
FDA Regulations for Clinical Trials of Cancer Vaccines
Lessons from COVID-19: How Are Data Science and AI Changing Future Biomedical...Jake Chen
: COVID-19 has profoundly impacted all our lives. Not all such impacts in science are negative. For example, how we adapt to online learning, remote mentorship, and online teamwork may become new “norms” of future scientific collaborations, breaking down institutional boundaries to communication. The COVID-19 pandemic has united the scientific community more than ever, through more than 3600 clinical trials, 60,000 peer-reviewed publications, 80,000 SARS-CoV-2 genome sequences, 100,000 COVID-19 open software tools, and a global community of scientists, with which all of us are working hard to find epidemiological patterns, diagnosis, therapeutics, and vaccines in a “War Against COVID-19”. In this talk, I will define and characterize data-driven medicine primarily through my personal journey in the past ten months, having witnessed the rapid “weaponizing of data science tools” in our community’s fight against COVID-19 (including ours, at http://covid19.ubrite.org/). I will review up-to-date COVID-19 literature, especially those related to how biomedical informatics, data science, and artificial intelligence have been applied in accelerating COVID-19 breakthrough discoveries, from basic research to clinical practice. I will end by sharing my thoughts on how the future of medicine in cancer and other translational areas can benefit from the proactive incorporation of new “data science engines.”
This document discusses big data in healthcare and whether big data is always good data. It notes that large amounts of medical data are generated each day from various sources but quality is a challenge. Three characteristics of big data are described: volume, velocity and variety. For big data to be good, it must be valid and valuable. Challenges include quality, inconsistency, security and regulation. New technologies now allow continuous remote health monitoring but also raise ethical issues. Adverse drug events are a growing issue and most safety reports are missing basic data details. Collecting high-quality safety reports directly from individuals could provide purer data to inform medicine understanding and use.
My Personal Odyssey with Big Data - Brad PopovichCityAge
Brad Popovich underwent early exploration of his personal genome in the 1970s-2000s by analyzing genes related to various conditions. In 2013-2014, he obtained whole genome sequencing through Illumina's Understanding Your Genome program to learn more about his genetic blueprint and risks. While whole genome sequencing provides potential for informed decisions, interpretation challenges remain due to limited comparison data and phenotypic information. Popovich hopes to learn how it feels to be a consumer of genomic data and whether the healthcare system can accommodate medically actionable follow-up of any concerning variants found.
Make DNA data actionable - Festival of Genomics London 2018Omar Fogliadini
The document discusses the emerging field of genomic medicine and direct-to-consumer genetic testing. It notes that the cost of genome sequencing has dropped dramatically in recent years, enabling more people to access their genetic data. However, most doctors currently lack training in genomics and the implications of genetic testing. The development of genomic medicine will require greater integration of genetics into healthcare systems and medical education. The document also examines some of the challenges in ensuring patients and doctors can properly understand and act on genetic results.
The Extreme Future of Health Care 2014James Canton
Radical trends in health care and medicine will change business and society. This presentation fresh from Dr. James Canton's New Keynote Presentation and from his upcoming new book looks at the trends in biotech, synthetic biology, digital health, genomics, wellness and regenerative medicine that will shape the near future of our world and health. Find out what's next and how to prepare today. For more info see http://globalfuturist.com
Presentation "The Impact of All Data on Healthcare"
Keith Perry
Associate VP & Deputy CIO
UT MD Anderson Cancer Center
With continuing advancement in both technology and medicine, the drive is on to make all data meaningful to drive medical discovery and create actionable outcomes. With tools and capabilities to capture more data than ever before, the challenge becomes linking existing structured and unstructured clinical data with genomic data to increase the industry’s analytical footprint.
Learning Objectives:
∙ Discuss the need to make all data meaningful in order to speed discovery of new knowledge
∙ Provide examples of an analytical direction that supports evolution in medicine
∙ Expose the challenges facing the industry with respect to ~omits
"US Cancer Vaccine Market Outlook 2020" Report Highlight:
US Cancer Vaccine Market Analysis
Cancer Vaccine with Orphan Status
US Cancer Vaccine Clinical Pipeline by Company, Indication & Phase
US Cancer Vaccine Clinical Pipeline: 187 Vaccines
Clinical Insight of Marketed Cancer Vaccines in US
Marketed Cancer Vaccine in US: 5 Vaccines
FDA Regulations for Clinical Trials of Cancer Vaccines
Lessons from COVID-19: How Are Data Science and AI Changing Future Biomedical...Jake Chen
: COVID-19 has profoundly impacted all our lives. Not all such impacts in science are negative. For example, how we adapt to online learning, remote mentorship, and online teamwork may become new “norms” of future scientific collaborations, breaking down institutional boundaries to communication. The COVID-19 pandemic has united the scientific community more than ever, through more than 3600 clinical trials, 60,000 peer-reviewed publications, 80,000 SARS-CoV-2 genome sequences, 100,000 COVID-19 open software tools, and a global community of scientists, with which all of us are working hard to find epidemiological patterns, diagnosis, therapeutics, and vaccines in a “War Against COVID-19”. In this talk, I will define and characterize data-driven medicine primarily through my personal journey in the past ten months, having witnessed the rapid “weaponizing of data science tools” in our community’s fight against COVID-19 (including ours, at http://covid19.ubrite.org/). I will review up-to-date COVID-19 literature, especially those related to how biomedical informatics, data science, and artificial intelligence have been applied in accelerating COVID-19 breakthrough discoveries, from basic research to clinical practice. I will end by sharing my thoughts on how the future of medicine in cancer and other translational areas can benefit from the proactive incorporation of new “data science engines.”
This document discusses big data in healthcare and whether big data is always good data. It notes that large amounts of medical data are generated each day from various sources but quality is a challenge. Three characteristics of big data are described: volume, velocity and variety. For big data to be good, it must be valid and valuable. Challenges include quality, inconsistency, security and regulation. New technologies now allow continuous remote health monitoring but also raise ethical issues. Adverse drug events are a growing issue and most safety reports are missing basic data details. Collecting high-quality safety reports directly from individuals could provide purer data to inform medicine understanding and use.
My Personal Odyssey with Big Data - Brad PopovichCityAge
Brad Popovich underwent early exploration of his personal genome in the 1970s-2000s by analyzing genes related to various conditions. In 2013-2014, he obtained whole genome sequencing through Illumina's Understanding Your Genome program to learn more about his genetic blueprint and risks. While whole genome sequencing provides potential for informed decisions, interpretation challenges remain due to limited comparison data and phenotypic information. Popovich hopes to learn how it feels to be a consumer of genomic data and whether the healthcare system can accommodate medically actionable follow-up of any concerning variants found.
Towards Digitally Enabled Genomic Medicine: the Patient of The FutureLarry Smarr
12.02.22
Invited Speaker
Hacking Life
TTI/Vanguard Conference
Title: Towards Digitally Enabled Genomic Medicine: the Patient of The Future
San Jose, CA
Promise and peril: How artificial intelligence is transforming health careΔρ. Γιώργος K. Κασάπης
AI has enormous potential to improve the quality of health care, enable early diagnosis of diseases, and reduce costs. But if implemented incautiously, AI can exacerbate health disparities, endanger patient privacy, and perpetuate bias. STAT, with support from the Commonwealth Fund, explored these possibilities and pitfalls during the past year and a half, illuminating best practices while identifying concerns and regulatory gaps. This report includes many of the articles we published and summarizes our findings, as well as recommendations we heard from caregivers, health care executives, academic experts, patient advocates, and others.
The document summarizes discussions and presentations from the annual USC Body Computing Conference, which brings together leaders in medicine, technology, and healthcare to discuss advances in wireless medical solutions and mobile health. Key topics included using genomic data and mobile sensors to personalize cancer care and chronic disease management, monitoring health indicators remotely, and regulatory issues around mobile health apps and medical devices. Presenters demonstrated technologies for monitoring athletes and drivers' vital signs, and providing affordable healthcare access in developing nations.
The document discusses opportunities and challenges in healthcare information technology. It notes that while IT is underinvested in healthcare compared to other industries, it has strong potential as a driver of higher quality care. New business models are emerging that use IT to enable more efficient workflows, new therapies, decentralized care, and pay-for-performance systems. However, the healthcare sector faces challenges of fragmentation, lack of standards, and high costs of ensuring privacy and security. Overall the document argues that IT innovation can help better align all stakeholders in healthcare and lower costs while improving outcomes.
2018 has finally arrived, and healthcare companies’ executives from both small and big firms have hit the ground running. With technological artificial intelligence and new drugs in the industry, below are 6 healthcare predictions for 2018.
AI systems have potential benefits but also risks in clinical applications. Adversarial attacks can intentionally cause models to make mistakes, and medical data is vulnerable due to limited authentication. Bias in algorithms can negatively impact patient care. Interpretability is important for trust, diagnosis, and safety issues. Frameworks are needed for developing AI with quality, safety, and accountability.
The document discusses the intersection of precision medicine, biomarkers, and healthcare policy. It describes how biomarkers and -omics data can be used for precision medicine to improve diagnostic accuracy, deliver targeted therapies, and stratify patient populations. However, clinical validation of biomarkers now requires large datasets and years of studies due to regulatory and payer requirements. This has reduced incentives for diagnostic innovation. The document also discusses challenges around clinical interpretation of complex multi-omic tests, evolving medical training and workflows, and disconnects between patent and reimbursement policies.
This document discusses IBM Watson and its potential applications in healthcare in German-speaking countries. It provides an overview of Watson's capabilities, including its ability to understand natural language, generate and evaluate hypotheses, and adapt and learn from interactions. The document also discusses how Watson has been applied to healthcare through projects like creating knowledge bases for cancer care and working with IBM Content Analytics to extract attributes from medical texts. Overall, the document presents Watson as a system that can help address the challenges of analyzing growing amounts of unstructured medical data through its advanced natural language processing and machine learning abilities.
Why consumers are crucial for building a sustainable healthcare systemMcKinsey on Healthcare
McKinsey & Company hosted an event in Washington, DC on March 26 in partnership with the Duke-Margolis Center for Health Policy, “Why consumers are crucial for building a sustainable healthcare system.”
Presentation given to health-care management class discussing how military research impacts medical innovations eventually benefiting the civilian population
Block23 is a global initiative offering genomic scans and personal health data analysis using AI to discover cancer prevention and treatment. It will create the first personal medical lockbox in blockchain to securely store genotype and phenotype data. Block23 aims to provide free genomic scans to over 100,000 individuals. The initiative has assembled a team of experts to design a secure architecture and AI platform to analyze the data. Block23 seeks to overcome barriers like data silos, limited data analysis capabilities, and lack of data sharing incentives that have hindered genomic research progress. It will empower individuals with ownership and control over their data through a blockchain-based system and token to incentivize data sharing with medical researchers and organizations.
Emerging collaboration models for academic medical centers _ our place in the...Rick Silva
- The document discusses emerging collaboration models between academic medical centers and other organizations in the genomics and precision medicine field, as genomic sequencing capabilities advance and more clinical cases are needed to power artificial intelligence platforms. It explores new partnership approaches around data sharing, patient engagement, infrastructure needs, and how academic medical centers can position themselves in this evolving ecosystem.
Big Data to Artificial Intelligence in Healthcarejetweedy
Big data in healthcare is studied because electronic health data sets are large, complex and growing. They contain 90% unstructured data that will increase 25 times over the next decade. Examples of artificial intelligence in healthcare include IBM Watson which provides evidence-based treatment options to oncologists, Medical Sieve which assists with clinical decision making in radiology and cardiology, and an app from AiCure supported by NIH that uses a smartphone's camera to confirm patients are adhering to their prescriptions. Deep Genomics also aims to identify patterns in genetic data to inform doctors about the effects of genetic variations at a cellular level. Overall, big data and AI can help make the right healthcare decisions for patients.
The growth of teledermatology expanding to reach the underserved.IMSS
This document summarizes the current state of teledermatology in the United States. It discusses how teledermatology can help expand access to dermatological care for underserved communities by allowing remote consultations. The document reviews trends in teledermatology utilization, as well as policies around reimbursement, licensing, and health record integration in the US. It finds that while telemedicine adoption is growing, regulations and coverage still vary significantly between states and insurance programs like Medicare and Medicaid.
Digital health in diabetes: a global perspectiveYoon Sup Choi
The document discusses digital healthcare in diabetes from a global perspective. It begins with an introduction by Professor Yoon Sup Choi from Sungkyunkwan University who is the director of the Digital Healthcare Institute. It then discusses various topics related to digital healthcare for diabetes including continuous glucose monitoring (CGM) systems, wearable devices, mobile health applications, use of artificial intelligence, and integration of data sources like CGM data, smartphones, and electronic health records (EHRs). Examples of several digital health companies and technologies are provided.
mHealth: The future of health is mobileguestd78180
Dr. Bernhardt's presentation at the mHealth Networking Summit on February 4, 2010 in Washington, DC. This talk explore the role of mobile technology for health promotion and features the work of the CDC in response to the H1N1 pandemic.
When the Human Genome Project was declared complete back in 2003, there were high expectations set for genomic medicine. However, it has taken over a decade to begin moving from vision to reality. Today, the number of success stories remains relatively small, but they do stretch across the healthcare ecosystem, incorporating the prediction of drug responses, the diagnosis of diseases and the identification of targeted therapies. Stakeholders ranging from patients, healthcare providers and payers, researchers, diagnostic companies, policy-makers, life sciences businesses and governments now believe genomic medicine to be a potential game-changer
A look at the key trends and challenges in applying Big Data to transform healthcare by supporting research, self care, providers and building ecosystems. Purchase the report here: https://gumroad.com/l/PlXP
Possible Solution for Managing the Worlds Personal Genetic Data - DNA Guide, ...DNA Compass
World DNA Day and Genome Day, Dalian China 2011
"Possible Solution for Managing the Worlds Genetic Data" given by Alice Rathjen, Founder & President DNA Guide, Inc.
Proposes genetic tests be given a rating for quality of science, medical utility and viewing risk so as to facilitate the flow of genetic information in a responsible manner from the lab to the physician and patient. Explains how technology combined with public policy could enable both privacy and personalized medicine to thrive. Advocates individual ownership over personal genetic data and suggests the genome as a data format could provide the foundation for digital human rights.
tags: DNA, genetic testing, privacy, personalized medicine, FDA regulation
The Pharma 2020 series
The Pharmaceutical industry's long successful strategy of placing big bets on a few molecules, promoting them heavily and turning them into blockbusters worked well for many years, but its R&D productivity has now plummeted and the environment’s changing. PwC believes that seven major trends are reshaping the marketplace:
Source of info:
http://www.pwc.com/gx/en/pharma-life-sciences/pharma2020/index.jhtml#
The document discusses the current state and expected growth trends of the in vitro diagnostics (IVD) market. It notes that the global IVD market was estimated at $54.2 billion in 2013 and is expected to grow 4% annually to $64.3 billion by 2018. Technological advances in areas like genomics, bioinformatics, and miniaturization have transformed diagnostic laboratory technology in recent years. Personalized medicine, infectious disease testing, and other applications are driving growth in the IVD market. However, economic instability, rising healthcare costs, and reimbursement changes pose challenges for the industry.
Towards Digitally Enabled Genomic Medicine: the Patient of The FutureLarry Smarr
12.02.22
Invited Speaker
Hacking Life
TTI/Vanguard Conference
Title: Towards Digitally Enabled Genomic Medicine: the Patient of The Future
San Jose, CA
Promise and peril: How artificial intelligence is transforming health careΔρ. Γιώργος K. Κασάπης
AI has enormous potential to improve the quality of health care, enable early diagnosis of diseases, and reduce costs. But if implemented incautiously, AI can exacerbate health disparities, endanger patient privacy, and perpetuate bias. STAT, with support from the Commonwealth Fund, explored these possibilities and pitfalls during the past year and a half, illuminating best practices while identifying concerns and regulatory gaps. This report includes many of the articles we published and summarizes our findings, as well as recommendations we heard from caregivers, health care executives, academic experts, patient advocates, and others.
The document summarizes discussions and presentations from the annual USC Body Computing Conference, which brings together leaders in medicine, technology, and healthcare to discuss advances in wireless medical solutions and mobile health. Key topics included using genomic data and mobile sensors to personalize cancer care and chronic disease management, monitoring health indicators remotely, and regulatory issues around mobile health apps and medical devices. Presenters demonstrated technologies for monitoring athletes and drivers' vital signs, and providing affordable healthcare access in developing nations.
The document discusses opportunities and challenges in healthcare information technology. It notes that while IT is underinvested in healthcare compared to other industries, it has strong potential as a driver of higher quality care. New business models are emerging that use IT to enable more efficient workflows, new therapies, decentralized care, and pay-for-performance systems. However, the healthcare sector faces challenges of fragmentation, lack of standards, and high costs of ensuring privacy and security. Overall the document argues that IT innovation can help better align all stakeholders in healthcare and lower costs while improving outcomes.
2018 has finally arrived, and healthcare companies’ executives from both small and big firms have hit the ground running. With technological artificial intelligence and new drugs in the industry, below are 6 healthcare predictions for 2018.
AI systems have potential benefits but also risks in clinical applications. Adversarial attacks can intentionally cause models to make mistakes, and medical data is vulnerable due to limited authentication. Bias in algorithms can negatively impact patient care. Interpretability is important for trust, diagnosis, and safety issues. Frameworks are needed for developing AI with quality, safety, and accountability.
The document discusses the intersection of precision medicine, biomarkers, and healthcare policy. It describes how biomarkers and -omics data can be used for precision medicine to improve diagnostic accuracy, deliver targeted therapies, and stratify patient populations. However, clinical validation of biomarkers now requires large datasets and years of studies due to regulatory and payer requirements. This has reduced incentives for diagnostic innovation. The document also discusses challenges around clinical interpretation of complex multi-omic tests, evolving medical training and workflows, and disconnects between patent and reimbursement policies.
This document discusses IBM Watson and its potential applications in healthcare in German-speaking countries. It provides an overview of Watson's capabilities, including its ability to understand natural language, generate and evaluate hypotheses, and adapt and learn from interactions. The document also discusses how Watson has been applied to healthcare through projects like creating knowledge bases for cancer care and working with IBM Content Analytics to extract attributes from medical texts. Overall, the document presents Watson as a system that can help address the challenges of analyzing growing amounts of unstructured medical data through its advanced natural language processing and machine learning abilities.
Why consumers are crucial for building a sustainable healthcare systemMcKinsey on Healthcare
McKinsey & Company hosted an event in Washington, DC on March 26 in partnership with the Duke-Margolis Center for Health Policy, “Why consumers are crucial for building a sustainable healthcare system.”
Presentation given to health-care management class discussing how military research impacts medical innovations eventually benefiting the civilian population
Block23 is a global initiative offering genomic scans and personal health data analysis using AI to discover cancer prevention and treatment. It will create the first personal medical lockbox in blockchain to securely store genotype and phenotype data. Block23 aims to provide free genomic scans to over 100,000 individuals. The initiative has assembled a team of experts to design a secure architecture and AI platform to analyze the data. Block23 seeks to overcome barriers like data silos, limited data analysis capabilities, and lack of data sharing incentives that have hindered genomic research progress. It will empower individuals with ownership and control over their data through a blockchain-based system and token to incentivize data sharing with medical researchers and organizations.
Emerging collaboration models for academic medical centers _ our place in the...Rick Silva
- The document discusses emerging collaboration models between academic medical centers and other organizations in the genomics and precision medicine field, as genomic sequencing capabilities advance and more clinical cases are needed to power artificial intelligence platforms. It explores new partnership approaches around data sharing, patient engagement, infrastructure needs, and how academic medical centers can position themselves in this evolving ecosystem.
Big Data to Artificial Intelligence in Healthcarejetweedy
Big data in healthcare is studied because electronic health data sets are large, complex and growing. They contain 90% unstructured data that will increase 25 times over the next decade. Examples of artificial intelligence in healthcare include IBM Watson which provides evidence-based treatment options to oncologists, Medical Sieve which assists with clinical decision making in radiology and cardiology, and an app from AiCure supported by NIH that uses a smartphone's camera to confirm patients are adhering to their prescriptions. Deep Genomics also aims to identify patterns in genetic data to inform doctors about the effects of genetic variations at a cellular level. Overall, big data and AI can help make the right healthcare decisions for patients.
The growth of teledermatology expanding to reach the underserved.IMSS
This document summarizes the current state of teledermatology in the United States. It discusses how teledermatology can help expand access to dermatological care for underserved communities by allowing remote consultations. The document reviews trends in teledermatology utilization, as well as policies around reimbursement, licensing, and health record integration in the US. It finds that while telemedicine adoption is growing, regulations and coverage still vary significantly between states and insurance programs like Medicare and Medicaid.
Digital health in diabetes: a global perspectiveYoon Sup Choi
The document discusses digital healthcare in diabetes from a global perspective. It begins with an introduction by Professor Yoon Sup Choi from Sungkyunkwan University who is the director of the Digital Healthcare Institute. It then discusses various topics related to digital healthcare for diabetes including continuous glucose monitoring (CGM) systems, wearable devices, mobile health applications, use of artificial intelligence, and integration of data sources like CGM data, smartphones, and electronic health records (EHRs). Examples of several digital health companies and technologies are provided.
mHealth: The future of health is mobileguestd78180
Dr. Bernhardt's presentation at the mHealth Networking Summit on February 4, 2010 in Washington, DC. This talk explore the role of mobile technology for health promotion and features the work of the CDC in response to the H1N1 pandemic.
When the Human Genome Project was declared complete back in 2003, there were high expectations set for genomic medicine. However, it has taken over a decade to begin moving from vision to reality. Today, the number of success stories remains relatively small, but they do stretch across the healthcare ecosystem, incorporating the prediction of drug responses, the diagnosis of diseases and the identification of targeted therapies. Stakeholders ranging from patients, healthcare providers and payers, researchers, diagnostic companies, policy-makers, life sciences businesses and governments now believe genomic medicine to be a potential game-changer
A look at the key trends and challenges in applying Big Data to transform healthcare by supporting research, self care, providers and building ecosystems. Purchase the report here: https://gumroad.com/l/PlXP
Possible Solution for Managing the Worlds Personal Genetic Data - DNA Guide, ...DNA Compass
World DNA Day and Genome Day, Dalian China 2011
"Possible Solution for Managing the Worlds Genetic Data" given by Alice Rathjen, Founder & President DNA Guide, Inc.
Proposes genetic tests be given a rating for quality of science, medical utility and viewing risk so as to facilitate the flow of genetic information in a responsible manner from the lab to the physician and patient. Explains how technology combined with public policy could enable both privacy and personalized medicine to thrive. Advocates individual ownership over personal genetic data and suggests the genome as a data format could provide the foundation for digital human rights.
tags: DNA, genetic testing, privacy, personalized medicine, FDA regulation
The Pharma 2020 series
The Pharmaceutical industry's long successful strategy of placing big bets on a few molecules, promoting them heavily and turning them into blockbusters worked well for many years, but its R&D productivity has now plummeted and the environment’s changing. PwC believes that seven major trends are reshaping the marketplace:
Source of info:
http://www.pwc.com/gx/en/pharma-life-sciences/pharma2020/index.jhtml#
The document discusses the current state and expected growth trends of the in vitro diagnostics (IVD) market. It notes that the global IVD market was estimated at $54.2 billion in 2013 and is expected to grow 4% annually to $64.3 billion by 2018. Technological advances in areas like genomics, bioinformatics, and miniaturization have transformed diagnostic laboratory technology in recent years. Personalized medicine, infectious disease testing, and other applications are driving growth in the IVD market. However, economic instability, rising healthcare costs, and reimbursement changes pose challenges for the industry.
- The traditional business model of personal genomics companies sees individuals pay to sequence their genomes and receive analysis results, while the companies keep the genomic data and sell it to pharmaceutical companies. However, this model has limitations in addressing high sequencing costs for individuals, lack of individual control over their data, and lack of incentives.
- The proposed Nebula model uses blockchain technology to connect individuals directly with data buyers, eliminating personal genomics companies as middlemen. This is intended to reduce sequencing costs for individuals, give them control over their genomic data and how it is used, and provide incentives.
- The model aims to satisfy both individuals, by addressing the above issues, and data buyers' needs around data availability, acquisition, and
Pharmaceutical companies are increasingly recognizing the value of real-world evidence and digital health technologies. Real-world data from electronic health records, wearable devices, and other sources can provide insights into drug effectiveness outside of controlled clinical trials. This data has the potential to transform drug development and delivery of personalized healthcare. It allows evaluation of treatments using broader and longer-term patient data. Pharma is exploring applications of real-world evidence such as improving clinical trial design and identifying new drug targets and uses based on unanticipated real-world findings. Widespread collection and use of real-world data may help address industry challenges like rising development costs and ensuring drug safety.
Benefits of Big Data in Health Care A Revolutionijtsrd
Lifespan of a normal human is increasing with the world population and it produces new challenge in health care. big data change the method of data management ,leverage data and analyzing data.with the help of big data we can reduces the costs of treatment, reducing medication and provide better treatment with predictive analytics. Health related data collected from various sources like electronic health record EHR ,medical imaging system, genomic sequencing, pay of records, pharmaceutical research , and medical devices, etc. are refers to as big data in healthcare. Dr. Ritushree Narayan ""Benefits of Big Data in Health Care: A Revolution"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd22974.pdf
Paper URL: https://www.ijtsrd.com/computer-science/data-miining/22974/benefits-of-big-data-in-health-care-a-revolution/dr-ritushree-narayan
The document discusses Strand Genomics Inc., which offers genomic analysis and clinical interpretation software and services. It focuses on personalized medicine by using its StrandOmics platform to analyze genomic data and determine disease risks for individuals. StrandOmics aims to make genomic testing routine in medical care to help clinicians make more informed decisions. Strand has grown to over 200 scientists and serves over 2,000 labs and 100,000 patients. Its partnership with Health Care Global Enterprises successfully piloted cancer risk assessment and molecular diagnosis for over 50 patients in India.
Using technology-enabled social prescriptions to disrupt healthcareDr Sven Jungmann
As chronic diseases are increasingly straining healthcare systems, social factors are gaining importance. Since the birth of social medicine (19th century), we saw many failed attempts to beat the dominance of the biomedical model. Social prescriptions have come, raising hopes that non-biomedical solutions will improve outcomes and optimise resource use. Social Prescriptions connect citizens to support to address social determinants of health and encourage self-care for physical and mental health. Social prescriptions can make us healthier cheaper and with fewer side effects than most drugs. Social prescriptions can become a disruptive force as they can be personalised, improve lifestyle-related diseases, and support non-biomedical issues affected by social determinants of health.
The Digital Medicine Crystal Ball: Unlocking the Future of Real-Time, Precise...Cris De Luca
The last five years have seen an unprecedented eruption in technological and health advances.
These new technologies and products—many undergoing rigorous clinical validation—will have significant direct impacts on diagnosing, preventing, monitoring or treating a disease, condition or syndrome, which in turn will transform disease management and alter business models across industries.
This whitepaper describes the current and future influence of digital medicine on the health ecosystem and highlights how various stakeholders are working to deliver clinically impactful and economically viable solutions in a saturated yet still-emerging business environment.
Topics addressed in the whitepaper include:
How various stakeholders are working to deliver clinically impactful and economically viable solutions in a saturated yet still-emerging business environment
The new roles of traditional healthcare players
How the entrance of new technologies will affect partnership models and business strategies
The future of digital medicine’s regulatory environment
Author: Nicole Fisher
The report, produced by EBD Group in collaboration with Hogan Lovells, and authored by Forbes contributor, Nicole Fisher, features insights from Christine Lemke, Evidation Health, Hogan Lovells, Cris De Luca, J&J Innovation, NIH/PMI, Rachel Sha, Sanofi, StartUp Health, and key opinion leaders such as John Nosta and Unity Stoakes.
mHealth Israel_ Digital Medicine_Whitepaper_The Digital Medicine Chrystal BallLevi Shapiro
The Digital Medicine Chrystal Ball: Unlocking the Future of Real-Time, Precise, Effective Healthcare. How will new digital technologies impact disease management and healthcare over the next decade? How will new digital technologies impact disease management and healthcare over the next decade?
Genomic Medicine: Personalized Care for Just PenniesHealth Catalyst
The document discusses the progress and future of genomic medicine. The cost of sequencing a human genome has declined drastically from $100 million to an expected cost of just pennies by 2020. This will enable more personalized care based on a patient's genomic profile. Genomic analysis is already improving diagnosis and treatment for various diseases like rare genetic disorders and cancer. In the future, genomic data combined with sensor data will generate huge amounts of healthcare data and further advance personalized medicine.
These are the upcoming life science trends we can expect to see more in 2019. While healthcare research in immunomodulation and gene therapy is relevant; data-sharing, purpose-driven analytics and AI is gaining more popularity within the industry. With these technological aspects in place, the research community hopes to drive for more discoveries and medical breakthroughs.
Genome sequencing technology available today can accurately sequence a whole genome from an individual’s test sample for a surprisingly low cost.
As a result, the adoption of this technology is rapidly expanding as medical centers around the world embrace its utility in informing healthcare decisions—an emerging reality of personalized medicine.
Block23 is a global initiative offering genomic scans and personal health data analysis using AI to discover cancer prevention and treatment. It aims to collect genomic and health data from over 100,000 people and store it on the blockchain, allowing for broad data analysis to identify statistically significant relationships between genetics, lifestyle, and disease. This will provide a basis for precision medicine. The blockchain and a crypto token called PMX will allow individuals to own and control their data, while incentivizing sharing with medical researchers and companies in exchange for tokens. Block23 hopes to build a global precision medicine ecosystem through this decentralized model.
As we understand more about the human body and how it functions and degrades, biotechnology will progress. This is only the beginning, but when new technology and procedures become accessible, certain themes will start to develop in biopharma trends.
In 2022, individuals are more informed about their health through genetic testing and digital technologies. They are engaged in managing their own health through wearable devices and health apps. The quantified self has embraced prevention and consumers demand specific treatments, sharing health data willingly with providers. New entrants are disrupting care delivery through virtual clinics and gamification programs supported by insurers.
The document summarizes a panel discussion on digital health held by the INSEAD Healthcare Club of Switzerland. It discusses how digital health has the potential to transform life sciences through technologies like sensors, data collection, and precision medicine. However, significant regulatory hurdles around data sharing and privacy still exist. While companies like Bristol-Myers Squibb and Novartis are pursuing digital health projects, it is unclear which players like pharmaceutical companies, technology giants, insurers, or patients will ultimately lead the transformation. The panelists debated these issues and shared lessons learned from their experiences in digital health.
Companies, organizations, and research institutes that are committed to bettering the lives of living organisms fall under the umbrella term known as the life sciences industry. Pharmaceuticals, biotechnology, environmental sciences, biomedicine, nutraceuticals, neurology, cell biology, biophysics, and a lot of other subfields might be classified as some of the different subfields that fall under the umbrella of the life sciences business.
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Unlocking WhatsApp Marketing with HubSpot: Integrating Messaging into Your Ma...Niswey
50 million companies worldwide leverage WhatsApp as a key marketing channel. You may have considered adding it to your marketing mix, or probably already driving impressive conversions with WhatsApp.
But wait. What happens when you fully integrate your WhatsApp campaigns with HubSpot?
That's exactly what we explored in this session.
We take a look at everything that you need to know in order to deploy effective WhatsApp marketing strategies, and integrate it with your buyer journey in HubSpot. From technical requirements to innovative campaign strategies, to advanced campaign reporting - we discuss all that and more, to leverage WhatsApp for maximum impact. Check out more details about the event here https://events.hubspot.com/events/details/hubspot-new-delhi-presents-unlocking-whatsapp-marketing-with-hubspot-integrating-messaging-into-your-marketing-strategy/
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NIMA2024 | De toegevoegde waarde van DEI en ESG in campagnes | Nathalie Lam |...BBPMedia1
Nathalie zal delen hoe DEI en ESG een fundamentele rol kunnen spelen in je merkstrategie en je de juiste aansluiting kan creëren met je doelgroep. Door middel van voorbeelden en simpele handvatten toont ze hoe dit in jouw organisatie toegepast kan worden.
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Cover Story - China's Investment Leader - Dr. Alyce SUmsthrill
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https://www.britannica.com/event/Expo-Shanghai-2010
China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
The report *State of D2C in India: A Logistics Update* talks about the evolving dynamics of the d2C landscape with a particular focus on how brands navigate the complexities of logistics. Third Party Logistics enablers emerge indispensable partners in facilitating the growth journey of D2C brands, offering cost-effective solutions tailored to their specific needs. As D2C brands continue to expand, they encounter heightened operational complexities with logistics standing out as a significant challenge. Logistics not only represents a substantial cost component for the brands but also directly influences the customer experience. Establishing efficient logistics operations while keeping costs low is therefore a crucial objective for brands. The report highlights how 3PLs are meeting the rising demands of D2C brands, supporting their expansion both online and offline, and paving the way for sustainable, scalable growth in this fast-paced market.
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2. The world of healthcare is changing. Two revolutionary technologies, genomics
and blockchain, are poised to significantly improve health and well-being across
the globe. Genomic medicine can enhance the understanding and treatment
of as many as 7,000 rare diseases, alongside cancers, complex and long-term
diseasesuchascardiovascularandneurodegenerativeconditions,andinfections.
Likewise, blockchain technology will transform both the future of healthcare
and the world economy: it is poised to herald the biggest transformation in
innovation since the advent of the internet and web 2.0. Shivom is the next
evolutionary step in this development, bringing these technologies together to
create a revolutionary medical genomics ecosystem that will open up healthcare
opportunities for all.
Shivom offers the first ever integrated solution for patients and genome data
donors where everybody will be able to have their genome sequenced and
securely stored. This ecosystem will provide an open web-marketplace for
other providers such as pharmaceuticals, research organizations, governments,
patient-support groups and insurance companies to add their apps and services,
alongside genomic data analytics and personalized medicine.
THE IDEA1
3. We envision a future where genomic data becomes ubiquitous, with its insights
for enhancing healthcare securely available and accessible to all. Shivom
is pioneering the omics ecosystem to make this vision a reality by offering
a first-of-its-kind investment proposition in the rapidly growing market for
personalized medicine, powered by state-of-the-art blockchain technology.
We will additionally build a state-of-the art and not-for-profit drug discovery
and precision medicine organization. Shivom researchers will use data-driven
tools and techniques, particularly machine learning methods that underpin
artificial intelligence, which will offer promise in improving healthcare systems
and services around the globe.
Blockchain technology is our tech partner of choice because it is able to address
trust issues, including patient consent, data ownership, data integrity and
authentication. Blockchain can also manage complex data rights and allow fine-
grained access using smart contracts.
BLOCKCHAIN GENOMICS WILL USHER IN A NEW ERA OF OPEN,
COLLABORATIVE AND DATA-DRIVEN SCIENCE THAT PAVES THE WAY
TO PRECISION MEDICINE.
The global Shivom platform works on principles of collaboration,
openness, integrity, security, and informed choice.
OUR OBJECTIVE: CREATE THE LARGEST GENOMIC DATA-HUB ON
THE PLANET. CONTRIBUTORS OWN THEIR GENOMIC DATA, THE RIGHT
TO ACCESS IT, AND THE OPPORTUNITY TO SHARE OR SELL IT.
4. To make the direct-to-consumer business more open, fair, and beneficial to all users,
the Shivom platform uses blockchain technology to create a disruptive genomics
ecosystem. It ensures data is owned by the data donors themselves. It ensures a
transparent and secure bridge to organizations interested in using that data.
• Genome data donors own their data and access rights
• Donors gain rewards for sharing their genomic data on the blockchain
by selling access rights directly to third party institutions such as
pharmaceutical companies
• Pharmaceutical companies use the Shivom platform to refine drug
development
• Shivom users have full and fine-grained control of who can access the data
even after a third party institution has had access to it
• Patients get personalised health, well-being, and lifestyle information
• A dynamic ecosystem is created and continuously refined in which the
community can identify and remove potential health roadblocks before they
become serious
WHY SHOULD YOU CHOOSE SHIVOM?2
5.
6. The cost of DNA sequencing has fallen significantly. It is anticipated that by
the end of the decade it will be possible to generate a person’s entire genome
for less than $500. Looking ahead further, we will see dramatically lower costs
for genomic analysis services. This will make personalised healthcare insights
accessible for almost all individuals around the globe. As recently as January
2017, the worldwide leading sequencing provider Illumina unveiled a new
sequencer, the NovaSeq, that the company reports will eventually provide a
whole genome for less than $100. This presents a new dawn for access to
personalized and precision healthcare on a global scale.
Over the last 10 years “Next-Generation” (NGS) DNA Sequencing technologies and data-analytics have
led to a dramatic reduction in costs. Shown here using a logarithmic scale.
Cost per Genome
WHY NOW?3
$ 100,000,000
$ 10,000,000
$ 1,000,000
$ 100,000
$ 10,000
$ 1,000
$ 100
7. PEOPLE WHO GET GENOMIC SEQUENCING WILL BE IN A BETTER
POSITION TO MANAGE THEIR HEALTH.
• Identifying the best course of care for patients with a
particular condition
• Prevention of disease in healthy individuals
• Prediction of disease risk
• Disease diagnosis
• Treatment, including choice of most effective medication
and dosage
• Disease prognosis
• Identifying new drug targets
GENOME SEQUENCING COMPANIES WILL BE COMPETING
SOON. THE TIME IS NOW TO JOIN SHIVOM.
Genomic sequencing provides many benefits:
8.
9. Blockchain technology helps users transmit genomic data or quantifiable
lifestyle information to other stakeholders. At the same time, the patient can
keep sensitive information, such as substance abuse data, hidden from certain
stakeholders. As a result, outcomes research and precision medicine initiatives
can be better supported. In addition, this framework allows stakeholders to
incentivize their client’s lifestyle change. For example, an insurer could offer to
pay for a client to have his genome sequenced.
Stakeholder Structure:
Using permission-based smart-contracts, access to genomic information will be
authorized by the blockchain while potential incentivization to the user or donor
remains secure and anonymized.
patient
doctor
insurer
10.
11. Genomics and artificial intelligence present a unique opportunity to
revolutionize R&D programs, especially screening for drug targets and
corresponding drug candidates. The significant cost associated with drug
development is linked to the ability to access high-quality and validated
datasets from patients.
We are currently engaging with partners in leading pharmaceutical/biotech
companies and clinical research organizations (CROs) to allow access to
our services, as well as offer the opportunity to sponsor genomic testing
on a mass level.
The data will not be owned by any company, and the Shivom platform will
facilitate pharmaceutical companies’ use of the data by providing attractive
rewards and a market access model that directly engages with data owners.
The model will allow access to study and control patients through an app
marketplace for phenotypic screening and more.
Pharmaceutical, biotech, insurance and data donors
all within the same hub
DRUG DEVELOPMENT4
12. Our counselors and laboratories will also work as an information hub. As
genomic data become more common in the clinic, it is imperative that clinical
scientists and physicians use automated and standardized toolswhich employ
up-to-date methods and curated publications.
A global network of genomic/health counselors and laboratories.
We aim to build a global network of genetic counselors who can also form a
telemedicine ecosystem (in case people in rural areas have no direct access
to healthcare). Eventually, most people will undergo genetic testing and
counseling, not only those with clearly elevated genetic risks.
GLOBAL GENETIC COUNSELOR NETWORK5
13. The growth rate of genomic data acquisition over the last decade has been
truly astonishing, with the total amount of sequence data produced doubling
approximately every seven months.
The plot shows the growth of the worldwide annual DNA sequencing capacity (Tera-basepairs (Tbp),
Peta-basepairs (Pbp), Exa-basepairs (Ebp), Zetta-basepairs (Zbps) taken from Stephens et al. The
values beyond 2015 represent a projection under three possible growth curves.
Many of the genomes sequenced to date have been whole
exome rather than whole genome, but it is expected that in the
future more and more whole genomes will be sequenced.
Recorded Growth
Double every 7 months
Double every 12 months
Double every 18 months
Current Capacity
Year
2000
1 Tbp
1 Pbp
1 Ebp
1 Zbp
2005 2010 2015 2000 2025
WorldwideAnnualSequencingCapacity
14. The Global Genomics Personalized Health Market is set to be worth US $25,112.5 Mn by the End of 2025
(ResearchMoz 2017). This will greatly impact disease areas such as: hypertension, heart disease, obesity, dementia,
depression, or medical side-effects, and mutation dependent inheritable diseases.
Global Genomics Personalized Health Market Revenue
by Region in 2017
Global healthcare market
USD$ 8.7 trillion by 2020
Deloitte 2017 global health care sector outlook
Precision medicine market
USD$ 40 billion by end of 2016
CAGR 10-11% by 2025 — expected to reach up to 112.6 billion.
This includes big data analytics, bioinformatics, gene sequencing, drug discovery,
companion diagnostics, and more.
Precision Medicine Market Analysis & Trend - Therapeutics, Application- Forecast to 2025
The global combined Blockchain technology market between 2017-2027 is estimated to
create revenue of nearly USD 45 Billion according to Research and Markets.
TOPLINE NUMBERS
BLOCKCHAIN SECTOR
North
America
EuropeLatin AmericaMiddle East
& Africa
MillionsofUS$
3,504.2
CAGR 14.9% (2017-2025)
15. We will consolidate our roadmap as the community grows. After our ICO, we will deploy
our first sequencing project together as a proof of concept. This first, viable product will
help us grow our ecosystem and raise interest from other parties.
https://www.researchandmarkets.com/research/8b85nl/global_blockchain)
ROADMAP6
conceptualization
healthcare ecosystem
initiated
whitepaper
released
start of
global
roadshow
partnerwith
medical center
Co-development to connect Shivom platform
with stat-of-the art data analytics pipeline
partnerwith major
data analytics firms
Foundation director and first steering
committee members on board.
shivomfoundation
established
Sequencing project in
rural India commenced.
project gaia
started
Collaboration with Top 25
pharmaceutical company
partner
with big pharma
companies
platform alpha release
web marketplace
opens
Official start of global not-for-
profit pharmaceutical spin-of
form
R&D unit
Set of large group of people
sequenced with rare disease.
first rare-
disease subset
Shivom services are available on
a global scale on all continents
worldwide rollout
of shivomplatform
seed round of
$250k finished
Implementation of artificial
intelligence, deep learning
platform
A.I. platform
Collaboration with first of
many large clinical centers
First genomics counseling
service unit opens
first genomics
service unit opens
multi-omics
integration
OmiX token
sale starts
OmiX token
sale closes
Dec 2016
Sept 2017
Oct 2017
Mar 2018
Q2 2018
Q1 2018
Mar 2018
Q2 2018
Apr 2018
Q2/Q3 2018
Q3 2018
Q3/4 2018
Q3/Q4 2018
Aug 2017
Q4 2018
Q3/4 2018
Q4 2018
Jan 2018
Feb 2018
16. TOKENS7
The OmiX Token:
The OmiX token is a key
component that enables
buying, trading, incentivizing
and other services.The token
is the fuel of the Shivom
ecosystem, as well as part
of the governance of the
system.
• Ability to acquire premium services in the Shivom ecosystem
• Ability to acquire genome sequencing kits
• Ability to sponsor sequencing projects
• Ability to acquire access to health/fitness apps from 3rd party providers
• Ability to access the genome database
• Ability to pay donors for data/participation in research studies
• Ability for service providers to use the platform
Benefits of OmiX tokens:
YOU CAN ACQUIRE TOKENS DURING THE TOKEN SALE, FROM
SECONDARY MARKETS, AND FROM REWARDS COLLECTION
17. Token Sale
OmiX tokens will be sold during the ICO process.
Community
90M OmiX Tokens will be distributed to the community to grow and nurture the
Shivom ecosystem, for bounty programs to leverage network effects, and for
community initiatives to reward developers, entrepreneurs, and strategists.
Founders
420M OmiX will be allocated for founders to support the development of the
Shivom ecosystem and their continued long-term alignment with the project.
Advisors
300M OmiX will be allocated for early backers and a global network of advisors.
Incentivizing Growth Pool
600M OmiX will be secured in a smart contract, allocated to the database, and
introduced into circulation as rewards for data generation.
Company Reserve
600M OmiX will be kept by the Foundation as a reserve fund for future data
contribution, running the Foundation and associated non-profit R&D efforts. The
Foundation maintains all authority to utilize a few or the majority of the reserve
tokens for future external investors.
Shivom will distribute 3 billion OmiX tokens
18. 20% Platform Development
Database building, UI, APIs and metadata curating. A large part of this budget
will be used to make the platform secure and scalable. From there we will
implement new features and create the open marketplace.
11% Operations & Business Development
Day-to-day operations, team building (developers, geneticists, marketers and
product managers). Forming the Foundation.
10% Non-Profit R&D Platform
Drug discovery platform combining elements of Big Data analytics, artificial
intelligence, genomics, proteomics, lipidomics, and metabolomics.
21% Marketing & Forming Partnerships
Ongoing community-building events public communications via traditional
marketing channels and persona-based approaches. This also includes
educational materials, roadshows, collaboration with other genomics-initiatives,
organizing events and conferences, and KOL management.
5% Legal
Regulatory compliance for all markets Shivom operates in.
The level of funding received dictates the distribution of funds.
However, reserve structure allows us to reduce the volatility along
the way while achieving long-term objectives.
TOKEN SALE: USE OF PROCEEDS
20. Dr. Axel Schumacher
Co-Founder & CEO
PhD Genetics, over 20 years of R&D
leadership experience in genomics,
epigenetics, biomarker discovery, Bio-IT,
aging & longevity. Author of the ‘Blockchain
& Healthcare Strategy Guide’, the standard
compendium for the healthcare industry.
Healthcare Dept. Head for Blockchain
Research Academy, Toronto.
Sally Eaves
Co-Founder & CMO
Experienced Chief Technology Officer,
Top 10 blockchain influencer, Practising
Professor of FinTech, Global Strategic
Advisor, and member of the Forbes
Technology Council of UK Govt.
Akash Gaurav
Co-Founder & CTO
Blockchain expert - started India’s first
blockchain company, Auxesis Group (Top
100 blockchain companies) , Blockchain Lab,
India, and is an advisor to the blockchain
startup Cashaa (7m$ raised).
Gourish Singla
Co-Founder & COO
Serial Entrepreneur. Background
in investment banking and wealth
management. 4th Company in the Digital
health space; Single-handedly established a
unit and drove it $35m Revenue.
Per Lind
Co-Founder & CSO
Business development expert and the Co-
Founder of IOTA Foundation (2B$ market
cap), leader in Social Media Management
Solu ons, specialist in sales and an Advisor
to several governments.
THE TEAM8