Artificial Intelligence in Pharmaceutical ScienceAhmed Obaidullah
AI And Machine Learning Are Changing Our World And Powering The 4th Industrial Revolution. Learn About The 5 Ways AI Is Changing Our World For The Better At Salzburg Global Today! Inspire Action. Expand Collaboration. Transform Systems. Bridge Divides.
Artificial Intelligence in Health Care 247 Labs Inc
This presentation was shown at the Artificial Intelligence in Health Care event in Toronto Nov 16 2017. The discussion was to introduce various applications of artificial intelligence and machine learning in the health care field.
Healthcare AI will undoubtedly become one of the fastest growing industries in the industry. Although the medical and health artificial intelligence industry was valued at US$ 600 million in 2014 , it is expected to reach a staggering US$ 150 billion by 2026. There are countless AI applications in the healthcare industry, let’s look at some outstanding ones.
Best practices in using wearable biometric sensors to prove medical use casesValencell, Inc
The use of wearable devices in health and medical use cases is growing rapidly along with the number and capabilities of wearable devices. The sensor technology embedded in wearables today rivals the capabilities of regulatory-approved medical devices, and in many cases enables new and different use cases than we’ve seen possible before. This session will highlight the best practices we’ve seen emerging recently from real-world projects proving the efficacy of wearable devices in health and medical use cases in the areas of cardiovascular conditions, neurological disease, pain management, and other areas of interest. We’ll also explore the potential pitfalls to avoid and key things to consider when using wearables in proving out your medical use case.
State of Wearables Today - 2018 Consumer SurveyValencell, Inc
A new national survey released today on wearables revealed that actionable, accurate health insights from wearables will be increasingly important to the success of the industry and 63% of respondents have owned a wearable device at some point, up from 42% in 2016. The online survey polled 826 consumers from a wide range of U.S. regions, ages, and income levels on their experiences and preferences around wearables. The 2018 survey is a follow-up from the same survey conducted by Valencell in 2016.
Artificial Intelligence in Pharmaceutical ScienceAhmed Obaidullah
AI And Machine Learning Are Changing Our World And Powering The 4th Industrial Revolution. Learn About The 5 Ways AI Is Changing Our World For The Better At Salzburg Global Today! Inspire Action. Expand Collaboration. Transform Systems. Bridge Divides.
Artificial Intelligence in Health Care 247 Labs Inc
This presentation was shown at the Artificial Intelligence in Health Care event in Toronto Nov 16 2017. The discussion was to introduce various applications of artificial intelligence and machine learning in the health care field.
Healthcare AI will undoubtedly become one of the fastest growing industries in the industry. Although the medical and health artificial intelligence industry was valued at US$ 600 million in 2014 , it is expected to reach a staggering US$ 150 billion by 2026. There are countless AI applications in the healthcare industry, let’s look at some outstanding ones.
Best practices in using wearable biometric sensors to prove medical use casesValencell, Inc
The use of wearable devices in health and medical use cases is growing rapidly along with the number and capabilities of wearable devices. The sensor technology embedded in wearables today rivals the capabilities of regulatory-approved medical devices, and in many cases enables new and different use cases than we’ve seen possible before. This session will highlight the best practices we’ve seen emerging recently from real-world projects proving the efficacy of wearable devices in health and medical use cases in the areas of cardiovascular conditions, neurological disease, pain management, and other areas of interest. We’ll also explore the potential pitfalls to avoid and key things to consider when using wearables in proving out your medical use case.
State of Wearables Today - 2018 Consumer SurveyValencell, Inc
A new national survey released today on wearables revealed that actionable, accurate health insights from wearables will be increasingly important to the success of the industry and 63% of respondents have owned a wearable device at some point, up from 42% in 2016. The online survey polled 826 consumers from a wide range of U.S. regions, ages, and income levels on their experiences and preferences around wearables. The 2018 survey is a follow-up from the same survey conducted by Valencell in 2016.
Medical research is published with tremendous speed, making it nearly impossible for a doctor to keep up. Artificial Intelligence could be the answer. The growing amounts of available data enables the use of artificial intelligence in health care, as well as the increasingly sophisticated machine learning algorithms. Yet relatively little of these methods are used in health care.
Precision Algorithms in Healthcare: Improving treatments with AIDay1 Technologies
It’s 2020 and we can safely say that the year hasn’t been our best or what we wanted it to be like. The alarming spread of COVID-19, and its aftermath has people unrooted and shaken to their toes, and literally everyone is looking at technology and healthcare innovations to find an answer to the pandemic. And fast.
Why Data Science Matters and How It Enables Impactful Health Outcomes - WebinarValencell, Inc
Valencell is transforming the science of wearable biometrics to facilitate impactful health outcomes and data science is a critical part of how we do that. The combination of accurate PPG sensor systems and the latest advancements in data science are opening up new possibilities for health and medical wearables to make an impact on people's lives. We have discovered it takes more than just sensor technology and in this webinar, Valencell offers an overview of the unique data capabilities being developed at our Biometric Data Science Lab. In this webinar, we share information on how we built our world-class data analytics team, the challenges we've overcome, and the data collection platforms and processes we employ.
The health emergency underway worldwide has highlighted the need to strengthen the surveillance and care of the sick at home, to avoid hospital overcrowding that we have seen in recent months inevitably compromise the management of the emergency itself. X-RAIS is an AI tool, which as a third eye supports radiologists during the reporting phase of radiological images. Within this context, we extended X-RAIS capabilities with ALFABETO (ALl FAster BEtter TOgether).
Wearables in Clinical Trials: Opportunities and ChallengesValencell, Inc
Wearables are showing the potential to significantly impact the data available for clinical trials and medical researchers in numerous ways. While the quality and efficacy of these devices varies widely, the sensor technologies in these devices has evolved to meet the needs of many clinical research endeavors. Wearables also enable longitudinal biometric data sets that can provide unique insights into the long-term, real-world impact of pharmacotherapies and treatment protocols. There are also many challenges in using wearables in trials, including access to the raw data from wearables, validation of the data from wearable devices, processing and analysis of massive amounts of wearable data, and data security.
This webinar is an interactive discussion on the state of wearables in clinical trials and medical research, where the opportunities are and the challenges to be overcome.
Presentation from a talk I gave at the Nottingham AI meetup. In this talk I explored some of the practical applications of medical AI, the research surrounding this exciting field and the potential for AI to be utilised as a support tool in healthcare and medicine. The talk will take high level view of the technology and it's application as apposed to a low level technical analysis, making it accessible to everyone.
Artificial Intelligence in Medical Imaging: An Analysis of Funding for Start-upsSimon Harris
There are over 50 start-up companies developing artificial intelligence solutions for medical imaging. Combined, these companies have raised over $100 million in funding. This short report from Signify Research shows the trends in capital funding for these companies and highlights how funding breaks down by company, by region and by clinical application.
Hypertension management will change more in the next 5 years than in the last...Valencell, Inc
Why will managing hypertension change more in the next 5 years than it has in the last 100?
There are several macro trends that are driving this change:
- Hypertension is a massive global health problem (over 1B people have high BP) and it is THE leading risk factor for the global burden of disease (its a comorbidity in every major chronic disease) - more of a risk factor than tobacco, obesity, poor diet, high blood glucose, etc. - according to the WHO.
- Sensor tech - there has been no meaningful innovation in BP sensors in over 100 years. The BP cuffs in use today are fundamentally the same as the first BP cuff that came to market in the early 1900's. That’s changing now with cuffless BP sensors that are being approved by regulatory bodies.
- Care delivery – healthcare "has left the building", moving out of the hospital, into the home and everyday life. This can be seen in the huge growth in remote patient monitoring, digital therapeutics, and digital health more broadly.
- Payer models – insurance coverage is moving from fee-for-service to value-based care that’s focused on prevention and monitoring. This is particularly important in hypertension management because high BP has no outward symptoms, making the frequency and ease of BP monitoring extremely important.
Startups Step Up - how healthcare ai startups are taking action during covid-...Renee Yao
All around the world, people are facing unprecedented challenges and uncertainties as a result of COVID-19. At NVIDIA Inception program, a virtual incubation startup program, which hosts 5000+ AI startups, we see an army of healthcare AI startups that have mobilized to address this global health crisis. This webinar will share real world examples on how each offering plays a critical role during this pandemic.
Live event: https://www.meetup.com/Women-in-Big-Data-Meetup/events/270191555/?action=rsvp&response=3.
YouTube Link: https://www.youtube.com/watch?v=QWkKINi8u4o&feature=youtu.be
Artificial intelligence-powered wearable solutions for senior care: A convers...Valencell, Inc
CarePredict, a Florida-based health tech startup, aims to improve seniors’ quality of life with machine learning-driven, actionable wearables insights for care staff and management to provide peace of mind for seniors and their loved ones. By identifying changes in the daily activities and behavior patterns of seniors, predictions can be made about declines in their health, thereby enabling early intervention and adopting a proactive and preventive approach to senior care.
In this webinar, CarePredict shares about their journey from initial concept through prototyping, use case development, business development, and addressing the crisis of a widening gap in the senior to caregiver ratio.
Our Journey to Release a Patient-Centric AI App to Reduce Public Health CostsDatabricks
Health costs are exploding year by year. Thanks to Artificial Intelligence it is possible to address patient needs in a cost-efficient manner.
In the case we will present, we will demonstrate how as part of a telemedicine service we implemented a solution allowing to reduce triage cost of patients by leveraging AI. The app we developed not only allowed to reduce cost but is significantly improving the patient experience.
The use of artificial intelligence in healthcare has the potential to assist healthcare providers in many aspects of patient care and administrative processes as well as improve patient outcomes.
AI analyzes data throughout a healthcare system to mine, automate and predict processes. Some of the use cases are :
1. Early Diagnosis of diseases
2. Improved clinical trial processes
3. Mental health apps etc.
Artificial intelligence enters the medical fieldRuchi Jain
In the medical and health field, artificial intelligence can help reduce the cost of ongoing health operations, and can have an impact on the quality of medical care for patients everywhere. By diagnosing diseases earlier, AI can also improve patient outcomes. No matter how you look at it, artificial intelligence has great potential in healthcare.
The 10 most innovative medical devices companies 2018insightscare
Despite these challenges, medical device companies have always been adept with the latest technology and innovations happening in the sector. Keeping this in mind, we bring you the in-depth profiles of- “The 10 Most Innovative Medical Devices Companies 2018.”
Medical research is published with tremendous speed, making it nearly impossible for a doctor to keep up. Artificial Intelligence could be the answer. The growing amounts of available data enables the use of artificial intelligence in health care, as well as the increasingly sophisticated machine learning algorithms. Yet relatively little of these methods are used in health care.
Precision Algorithms in Healthcare: Improving treatments with AIDay1 Technologies
It’s 2020 and we can safely say that the year hasn’t been our best or what we wanted it to be like. The alarming spread of COVID-19, and its aftermath has people unrooted and shaken to their toes, and literally everyone is looking at technology and healthcare innovations to find an answer to the pandemic. And fast.
Why Data Science Matters and How It Enables Impactful Health Outcomes - WebinarValencell, Inc
Valencell is transforming the science of wearable biometrics to facilitate impactful health outcomes and data science is a critical part of how we do that. The combination of accurate PPG sensor systems and the latest advancements in data science are opening up new possibilities for health and medical wearables to make an impact on people's lives. We have discovered it takes more than just sensor technology and in this webinar, Valencell offers an overview of the unique data capabilities being developed at our Biometric Data Science Lab. In this webinar, we share information on how we built our world-class data analytics team, the challenges we've overcome, and the data collection platforms and processes we employ.
The health emergency underway worldwide has highlighted the need to strengthen the surveillance and care of the sick at home, to avoid hospital overcrowding that we have seen in recent months inevitably compromise the management of the emergency itself. X-RAIS is an AI tool, which as a third eye supports radiologists during the reporting phase of radiological images. Within this context, we extended X-RAIS capabilities with ALFABETO (ALl FAster BEtter TOgether).
Wearables in Clinical Trials: Opportunities and ChallengesValencell, Inc
Wearables are showing the potential to significantly impact the data available for clinical trials and medical researchers in numerous ways. While the quality and efficacy of these devices varies widely, the sensor technologies in these devices has evolved to meet the needs of many clinical research endeavors. Wearables also enable longitudinal biometric data sets that can provide unique insights into the long-term, real-world impact of pharmacotherapies and treatment protocols. There are also many challenges in using wearables in trials, including access to the raw data from wearables, validation of the data from wearable devices, processing and analysis of massive amounts of wearable data, and data security.
This webinar is an interactive discussion on the state of wearables in clinical trials and medical research, where the opportunities are and the challenges to be overcome.
Presentation from a talk I gave at the Nottingham AI meetup. In this talk I explored some of the practical applications of medical AI, the research surrounding this exciting field and the potential for AI to be utilised as a support tool in healthcare and medicine. The talk will take high level view of the technology and it's application as apposed to a low level technical analysis, making it accessible to everyone.
Artificial Intelligence in Medical Imaging: An Analysis of Funding for Start-upsSimon Harris
There are over 50 start-up companies developing artificial intelligence solutions for medical imaging. Combined, these companies have raised over $100 million in funding. This short report from Signify Research shows the trends in capital funding for these companies and highlights how funding breaks down by company, by region and by clinical application.
Hypertension management will change more in the next 5 years than in the last...Valencell, Inc
Why will managing hypertension change more in the next 5 years than it has in the last 100?
There are several macro trends that are driving this change:
- Hypertension is a massive global health problem (over 1B people have high BP) and it is THE leading risk factor for the global burden of disease (its a comorbidity in every major chronic disease) - more of a risk factor than tobacco, obesity, poor diet, high blood glucose, etc. - according to the WHO.
- Sensor tech - there has been no meaningful innovation in BP sensors in over 100 years. The BP cuffs in use today are fundamentally the same as the first BP cuff that came to market in the early 1900's. That’s changing now with cuffless BP sensors that are being approved by regulatory bodies.
- Care delivery – healthcare "has left the building", moving out of the hospital, into the home and everyday life. This can be seen in the huge growth in remote patient monitoring, digital therapeutics, and digital health more broadly.
- Payer models – insurance coverage is moving from fee-for-service to value-based care that’s focused on prevention and monitoring. This is particularly important in hypertension management because high BP has no outward symptoms, making the frequency and ease of BP monitoring extremely important.
Startups Step Up - how healthcare ai startups are taking action during covid-...Renee Yao
All around the world, people are facing unprecedented challenges and uncertainties as a result of COVID-19. At NVIDIA Inception program, a virtual incubation startup program, which hosts 5000+ AI startups, we see an army of healthcare AI startups that have mobilized to address this global health crisis. This webinar will share real world examples on how each offering plays a critical role during this pandemic.
Live event: https://www.meetup.com/Women-in-Big-Data-Meetup/events/270191555/?action=rsvp&response=3.
YouTube Link: https://www.youtube.com/watch?v=QWkKINi8u4o&feature=youtu.be
Artificial intelligence-powered wearable solutions for senior care: A convers...Valencell, Inc
CarePredict, a Florida-based health tech startup, aims to improve seniors’ quality of life with machine learning-driven, actionable wearables insights for care staff and management to provide peace of mind for seniors and their loved ones. By identifying changes in the daily activities and behavior patterns of seniors, predictions can be made about declines in their health, thereby enabling early intervention and adopting a proactive and preventive approach to senior care.
In this webinar, CarePredict shares about their journey from initial concept through prototyping, use case development, business development, and addressing the crisis of a widening gap in the senior to caregiver ratio.
Our Journey to Release a Patient-Centric AI App to Reduce Public Health CostsDatabricks
Health costs are exploding year by year. Thanks to Artificial Intelligence it is possible to address patient needs in a cost-efficient manner.
In the case we will present, we will demonstrate how as part of a telemedicine service we implemented a solution allowing to reduce triage cost of patients by leveraging AI. The app we developed not only allowed to reduce cost but is significantly improving the patient experience.
The use of artificial intelligence in healthcare has the potential to assist healthcare providers in many aspects of patient care and administrative processes as well as improve patient outcomes.
AI analyzes data throughout a healthcare system to mine, automate and predict processes. Some of the use cases are :
1. Early Diagnosis of diseases
2. Improved clinical trial processes
3. Mental health apps etc.
Artificial intelligence enters the medical fieldRuchi Jain
In the medical and health field, artificial intelligence can help reduce the cost of ongoing health operations, and can have an impact on the quality of medical care for patients everywhere. By diagnosing diseases earlier, AI can also improve patient outcomes. No matter how you look at it, artificial intelligence has great potential in healthcare.
The 10 most innovative medical devices companies 2018insightscare
Despite these challenges, medical device companies have always been adept with the latest technology and innovations happening in the sector. Keeping this in mind, we bring you the in-depth profiles of- “The 10 Most Innovative Medical Devices Companies 2018.”
Artificial Intelligence Service in HealthcareAnkit Jain
It is no secret that artificial intelligence is shaping new business landscapes in every industries. As one of emerging convergence technologies, Artificial Intelligence (AI) creates new products and services, finally innovating business models. Especially, it has been noted by industry experts and researchers that healthcare sector has the biggest potential of AI convergence. In fact, major technology companies including Google, Microsoft and IBM have invested in AI in healthcare sector. Thousands of AI startups are active launching innovative services related to healthcare.
Asia HealthTech Investments by Julien de Salaberry (30 June 2015)KickstartPH
Kickstart Ventures' 2nd HealthTech Forum featured Julien de Salaberry, a globally-recognised expert on healthcare and technology.
Julien, the Chief Innovation Officer and Founder of The Propell Group (based in Singapore), talked about healthcare trends in Southeast Asia and how “frugal innovation" can be done in healthcare delivery.
And yeah, if you've got an interesting healthtech startup, message us at info@kickstart.ph. #startupPH
The 10 most innovative medical devices companies 2018insightscare
Despite these challenges, medical device companies have always been adept with the latest technology and innovations happening in the sector. Keeping this in mind, we bring you the in-depth profiles of- “The 10 Most Innovative Medical Devices Companies 2018.”
R&D
Drug Development
Diagnosis
Disease Prevention
Epidemic prediction
Remote Monitoring
Manufacturing
Marketing
Wrapping up
How is AI used in the pharmaceutical industry?
How does AI help in drug discovery?
Will AI lead to cheaper and better medications?
mHealth Israel_Anne LeGrand_IBM Watson_Big Data in HealthcareLevi Shapiro
Presentation by Anne LeGrand, VP Imaging, IBM Watson HEALTH: Big Data in Healthcare. Includes a future with AI; Industry Challenges; Natural Language Processing; Deep Learning; Make the Invisible, Visible; Accelerating the Pace of Drug Discovery; Become a Trusted Advisor; Treatment Recommendations by Cognitive Computing; Derive Actionable Insights; Managing Care and Improving Lives; Identifying Outcomes of Precision Cohorts; Diabetes; Medical Imaging; Market Size; AI Value; Imaging AI Market; How to Set Priorities; Safety Net; Global Issues; Watson Health Imaging Strategy; Maturity Curve; Precision Medicine; Watson Imaging Clinical Review; Key Principles;
Healthcare, along with many other sectors, is facing increasing uncertainty driven by technology disruption and greater individual / patient empowerment. The barrier to entry into the sector is dropping fast enabling Asia entrepreneurs to significantly improve the Asia healthcare ecosystem
Powering the Future of Healthcare in Asia - ETPL "IOT FOR HEALTH" PROGRAM | T...Julien de Salaberry
Presentation on the importance and impact of IoT Healthcare / Healthtech on the delivery of healthcare in Asia to the ETPL "IOT FOR HEALTH" PROGRAM cohort
#healthtechasia
Artificial intelligence in field of pharmacyKaustav Dey
AI is a program designed to produce outcome in a manner similar to human intelligence,logic and reasoning.This can be used in field of Pharmacy for betterment of humankind, to save lives,money and time
Disrupting Conventional Therapies with Digital TherapiesMedullan
Join this webinar to learn about:
Bio 2.0 - what it is, what problems it aims to address, why it's important now, and what leading indicators of its potential have we seen in the market.
The new clinical development patterns that will emerge to help Life Science companies bring digital therapies and solutions to market in a predictable and sustainable way.
The potential roadblocks, the regulatory ambiguity, and its potential for clarity as these patterns take hold.
Many will still find it hard to decide what initiatives to scale up and how to determine which pathways to follow, as it’s unclear what digital success will look like five years from now. This series aims to bring innovators and industry leaders together to imagine what success could be and discuss ways to get there.
Gleecus Whitepaper : Applications of Artificial Intelligence in HealthcareSuprit Patra
In the field of medicine, Artificial Intelligence (AI) goes a long way in strengthening and improvising the communication between Doctors and Patient like never before. The Healthcare industry requires enormous amounts of digitized data to be periodically shared, stored and yet kept secure at the same time. Smart algorithms are powering artificial intelligence (AI) applications in the healthcare sector By enabling intelligent applications to not only speak and listen but also to make decisions in unrivaled ways to nullify human errors.
Read this research paper to know how AI is taking healthcare by storm.
- HealthTech innovation is disrupting healthcare and its established players
- Technology is driving a new paradigm to create better health care
- Developing markets can leapfrog their healthcare infrastructure limitations
- New opportunities are opening to shape the new paradigm
This presentation, created by Syed Faiz ul Hassan, explores the profound influence of media on public perception and behavior. It delves into the evolution of media from oral traditions to modern digital and social media platforms. Key topics include the role of media in information propagation, socialization, crisis awareness, globalization, and education. The presentation also examines media influence through agenda setting, propaganda, and manipulative techniques used by advertisers and marketers. Furthermore, it highlights the impact of surveillance enabled by media technologies on personal behavior and preferences. Through this comprehensive overview, the presentation aims to shed light on how media shapes collective consciousness and public opinion.
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie WellsRosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
5. NAM
5
DIAGNOSIS IS TINY PART OF HEALTH
Treatment and prevention are important. NAM tackles not only
diagnosis but also whole hospital operations.
01
03
CURRENT DATA IS TOO UGLY
In the settings of NO DATA, Google and NAM are the same stage.02
NOT ENOUGH EXPERIMENTATION IN HOSPITALS
NAM has more closer data of patients and already running in
hospitals.
Big Companies Failed
NAM Succeeds
7. Flow of Health Data
2022
2021
Doctor
diagnosis
and treat.
Analysis of
data
New Insights
Such as pubs and markers.
Accumulation
Data
Patients come
to hospitals
Data Fabrication
Lack of Data
8. Flow of Health Data
2022
2021
Doctor
diagnosis
and treat.
Analysis of
data
New Insights
Accumulation
Data
Patients come
to hospitals
Use NAM Chain
to verify Raw Data
AI Bot system automatically
supplement datas.
10. NAM
NAM Inc. (Nakano AI Medical)
Place: Tokyo, Hong Kong, Ho Chi Minh
Employee: 30 engineers
11. CEO: Teppei Nakano
Born in 1992. In my father's work, I spend my childhood in Silicon Valley, California. After returning to Japan, studying at Keio High School and
Keio University School of Medicine. Since he was in the medical department of Keio University, he worked on machine learning and medical
application, and published numerous research papers. The paper is also adopted at NIPS which is the top conference of machine learning. In
addition, researchers of global artificial intelligence which are valued highly for research contents from government agencies such as receiving
medical consultation on medical IT project from Information Processing Promotion Organization of the Ministry of Economy, Trade and Industry.
Employment History
2012/
7∼8
Researcher intern at the National Institutes of Health
2013/8∼2014/7
Internship at Preferred Infrastructure Co., Ltd. (current:
Preferred Networks), which conducts machine learning
business
2016/6∼
2017/3
Contract outsourcing at Information-technology Promotion
Agency, Ministry of Economy, Trade and Industry under
jurisdiction IPA independent administrative agency
Awards
2014 Keio University School of Medicine Sakaguchi Research Grant Award
2015 Adopted as a scholarship student at Hida Medical Scholarship
2015 Received a student award at Google Deep Mind sponsored NIPS 2015
2015 Adopted as a scholarship at Pigeon Scholarship Foundation, Inc.
2016 Shizuoka Prefecture Fujinomiya City Medical Student Admission for
Funding
2016 Adopted as a creator for unexplored business of information
processing promotion agency IPA jurisdiction jurisdiction Ministry of
Economy, Trade and Industry
2017 Ministry of Economy, Trade and Industry Jurisdiction IPA Information-
technology Promotion Organization Information-technology
Promotion Organization adopted as advanced business (voluntarily
withdrew)
1. Graduated Keio Medical School.
2. Selected Innovative Engineer from Japanese Governments
3. More than 3 Pubs at NIPS/ICML(TOP Conferences of AI)
12. We have passed four papers for the third
consecutive year at a super-famous
international conference where everyone
knows the cutting edge in machine learning
and artificial intelligence.
Project which was entrusted to the medical
reform by the Ministry of Economy, Trade and
Industry. Upon receiving project selection from
unexplored projects, there are many
precedents that it will be a very large project
Award from the Japanese Governments 4 Pubs in NIPS/ICML Various Experiences
We are really Specialized Engineering
Nakano graduates from the medical
department, but also goes internship at a
company named PFI, which is the
predecessor of the artificial intelligence
venture PFN which attracts attention from the
world as well as the American National
Institutes of Health whose national budget is
the largest in the world To have
アメリカ国立科学財団
13. Predictions of the Onset of Disease
Development of new indicator Cancer Early forecast of risk of kidney
failure due to liver cirrhosis from
Prediction of cancer metastasis
ICML Paper NIPS Paper BioMed Journal
16. NAM
16
02.NAM AI PROJECT
03. NAM CHAIN
01.NAM AI LAB
We create NEW MEDICINE
using nanopore genome sequencer.
The most efficient Medicine
ever using AI.
Expand and Involve everything to medicine
from medicine.
20. NAM
20
WHY GENOME SEQUENCE NOT POPULAR IN
HEALTH
EXPENSIVE
Whole genome sequence
costs 2000 USD at least.
SLOW
4 weeks at least
including analysis.
HARD TO
UNDERSTAND
Analysis is hard to understand
even for doctors.
21. NAM
21
Nanopore
Sequencer
Oxford Nanopore systems offer real-time,
scalable, direct DNA sequencing. This can be
performed on the portable MinION device, the
benchtop GridION and the high-thoughput, high-
sample number PromethION. Nanopore
sequencing also offers, for the first time, direct
RNA sequencing, as well as PCR or PCR-free
cDNA sequencing.
CHEAP
1000USD
FAST
24~48 hours
LONG READS
Direct DNA/RNA
Sequencing
22. NAM
22
PREVENTION
DISEASE
Based on genome
sequencing and our
publication paper, we
p r e d i c t v a r i o u s
diseases.
BEAUTY
HEALTH OF
BACTERIAL
FLORA
MORE INFO
Based on balance of
bacteria on your skins,
we solve skin problems
s u c h a s a c n e a n d
moisturizing.
MICROBIOME
Your daily life directs to
your health through
micro biome in guts.
We advice lifestyle
based on micro biome
NAM HEALTH LAB OFFERS
23. NAM
23
Sjogren's
disease
The condition often accompanies other immune
system disorders, such as rheumatoid arthritis and
lupus. In Sjogren's syndrome, the mucous
membranes and moisture-secreting glands of your
eyes and mouth are usually affected first — resulting
in decreased tears and saliva.
F O U N D N E W I N D I C AT O R S !
N E W M E D I C I N E !
24. NAM
24
Skin
problems.
Allergies, irritants, your genetic makeup, and
certain diseases and immune
system problems can cause dermatitis,
hives, and other skin conditions.
P E R S O N A L I Z E D
H E A LT H C U R E
26. NAM
Not Enough Doctors.
How can we empower the doctors
using our AI technology in
Tokushukai Hospital.
Tokushukai is the biggest group
hospital in Japan.
26
54%
72%
Ishigaki
Island
Tokushukai Ishigakijima Hospital
31. Flow of Health Data
2022
2021
Doctor
diagnosis
and treat.
Analysis of
data
New Insights
Accumulation
Data
Patients come
to hospitals
Use NAM Chain
to verify Raw Data
AI Bot system automatically
supplement datas.
33. NAM
33
NAM Pay
Easy to pay with NAM,BTC,ETH, and so Manny ICO TOKENs.
Various Services such as Weibo.
NAMQ is given when you hold NAM.
Doctor Q is inside NAM Pay to control everything.
34. NAM
We are the first company to collect
health data from patient using blockchain
apps system.
Why NAM
Uses
Blockchain
35. NAM
Blockchain never guarantee your
security.
It makes immutable.
Our mission is to spread clean raw
data to the world not only hospitals
but also patients.
Electronic Medical Records
with NAM Chain
36. NAM
We are the first company to collect
health data from patient using blockchain
apps system.
Doctor Q &
Blockchain
38. NAM
38
02.NAM AI PROJECT
03. NAM CHAIN
01.NAM AI LAB
We create NEW MEDICINE
using nanopore genome sequencer.
The most efficient Medicine
ever using AI.
Expand and Involve everything to medicine
from medicine.