An invited talk for Lilly's Global IT Seminar Meeting In November 2016 on the subject of data, machine learning, AI, semantic web, text mining and spinach!
Describes SciBites unique text mining technology for embedding in applications and data mining use cases within pharma , biotech and life science industry
This presentation is based on one i've given to a few different groups and tries to explain why our text-mining engine, Termite, is a little bit different to others that are out there.
ChemSpider was developed with the intention of aggregating and indexing available sources of chemical structures and their associated information into a single searchable repository and making it available to everybody, at no charge. There are many tens of chemical structure databases such as literature data, chemical vendor catalogs, molecular properties, environmental data, toxicity data, analytical data etc. and no single way to search across them. Despite the diversity of databases available online their inherent quality, accuracy and completeness is lacking in many regards. ChemSpider was established to provide a platform whereby the chemistry community could contribute to cleaning up the data, improving the quality of data online and expanding the information available to include data such as reaction syntheses, analytical data and experimental properties. ChemSpider has now grown into a database of well over 20 million chemical substances integrated with over 300 disparate data sources, many of these directly supporting the Life Sciences. This presentation will provide an overview of our efforts to improve the quality of data online, to provide a foundation for the semantic web for chemistry and to provide access to a set online tools and services to support access to these data. I will also discuss how ChemSpider is being used to enhance Semantic Publishing in Chemistry at RSC.
Following our latest publication, The Market for CRISPR/Cas9 Genome Editing Products, released in June 2015 on the Interactive Market Intelligence platform, a follow-up questionnaire was sent to The Science Advisory Board to quantify how the emergence of CRISPR/Cas9 technology is impacting the use of traditional tools and techniques. It was fielded between July 6-8, 2015.
To download, please go to: http://marketanalysts.lifescienceexecutive.com/blog/?p=1995
Data Integration in a Big Data Context: An Open PHACTS Case StudyAlasdair Gray
Keynote presentation at the EU Ambient Assisted Living Forum workshop The Crusade for Big Data in the AAL Domain.
The presentation explores the Open PHACTS project and how it overcame various Big Data challenges.
Presentation given at the Open PHACTS project symposium.
The slides give an overview of the data in the 2.0 Open PHACTS drug discovery platform and the challenges that have been faced in the Open PHACTS project to reach this stage.
Describes SciBites unique text mining technology for embedding in applications and data mining use cases within pharma , biotech and life science industry
This presentation is based on one i've given to a few different groups and tries to explain why our text-mining engine, Termite, is a little bit different to others that are out there.
ChemSpider was developed with the intention of aggregating and indexing available sources of chemical structures and their associated information into a single searchable repository and making it available to everybody, at no charge. There are many tens of chemical structure databases such as literature data, chemical vendor catalogs, molecular properties, environmental data, toxicity data, analytical data etc. and no single way to search across them. Despite the diversity of databases available online their inherent quality, accuracy and completeness is lacking in many regards. ChemSpider was established to provide a platform whereby the chemistry community could contribute to cleaning up the data, improving the quality of data online and expanding the information available to include data such as reaction syntheses, analytical data and experimental properties. ChemSpider has now grown into a database of well over 20 million chemical substances integrated with over 300 disparate data sources, many of these directly supporting the Life Sciences. This presentation will provide an overview of our efforts to improve the quality of data online, to provide a foundation for the semantic web for chemistry and to provide access to a set online tools and services to support access to these data. I will also discuss how ChemSpider is being used to enhance Semantic Publishing in Chemistry at RSC.
Following our latest publication, The Market for CRISPR/Cas9 Genome Editing Products, released in June 2015 on the Interactive Market Intelligence platform, a follow-up questionnaire was sent to The Science Advisory Board to quantify how the emergence of CRISPR/Cas9 technology is impacting the use of traditional tools and techniques. It was fielded between July 6-8, 2015.
To download, please go to: http://marketanalysts.lifescienceexecutive.com/blog/?p=1995
Data Integration in a Big Data Context: An Open PHACTS Case StudyAlasdair Gray
Keynote presentation at the EU Ambient Assisted Living Forum workshop The Crusade for Big Data in the AAL Domain.
The presentation explores the Open PHACTS project and how it overcame various Big Data challenges.
Presentation given at the Open PHACTS project symposium.
The slides give an overview of the data in the 2.0 Open PHACTS drug discovery platform and the challenges that have been faced in the Open PHACTS project to reach this stage.
Presentation given by Appistry's Vice President of Product Strategy, Sultan Meghi at the World Genome Data Analysis Summit. Meghi presented about the big data challenges facing labs as they strive to manage the flow of genetic data from sequencer to the clinic.
Transforming Data Management and Time to Insight with Anzo Smart Data Lake®Cambridge Semantics
This webinar is targeted to Federal Government CIOs and
staff that are researching enterprise data management and
mining tools to help them understand how Smart Data Lakes
enable a viable mechanism for addressing their top priorities.
Watch this recorded webinar by Richard Mallah, Director of Advanced Analytics, to learn more about advancements in Text Analytics and how our Anzo Unstructured platform helps marry unstructured text with structured data from a wide variety of sources, allowing our customers to gain significant insights and competitive advantage by more easily and efficiently extracting meaning and value from the documents and the data.
Semantic Graph Databases: The Evolution of Relational DatabasesCambridge Semantics
In this webinar, Barry Zane, our Vice President of Engineering, discusses the evolution of databases from Relational to Semantic Graph and the Anzo Graph Query Engine, the key element of scale in the Anzo Smart Data Lake. Based on elastic clustered, in-memory computing, the Anzo Graph Query Engine offers interactive ad hoc query and analytics on datasets with billions of triples. With this powerful layer over their data, end users can effect powerful analytic workflows in a self-service manner.
Applying Data Engineering and Semantic Standards to Tame the "Perfect Storm" ...Cambridge Semantics
The financial industry is facing a perfect storm of disruptive drivers for data management. While regulators seek accuracy and transparency, institutions are struggling with fragmented data and IT infrastructures. The path forward is “data engineering” – applying consistent semantics with scalable infrastructure to harmonize data and enable traceable and dynamic analytics. In this webinar, we hear from industry practitioners and thought leaders on how this vision is being deployed and also see it in action.
Accelerating Insight - Smart Data Lake Customer Success StoriesCambridge Semantics
At Gartner Data & Analytics Summit 2017 Alok Prasad, President, was joined by Peter Horowitz of PricewaterhouseCoopers in presenting a session on how Cambridge Semantics' in-memory, massively parallel, semantic graph-based platform delivers an accelerating edge to data-driven organizations, while maintaining trust with security and governance.
dkNET Webinar: The Collaborative Microbial Metabolite Center – Democratizing ...dkNET
Presenter: Pieter Dorrestein, PhD, Professor, Skaggs School of Pharmacy and Pharmaceutical Sciences, Department of Pharmacology and Pediatrics, University of California San Diego
Abstract
In the analysis of organs, volatilome, or biofluids, the microbiome influences 15-70% of detectable mass spectrometry molecules. Typically, only 10% of human untargeted metabolomics data can be assigned a molecular structure, with merely 1-2% traceable to microbial origins. Human microbiomes contribute metabolites through the microbial metabolism of host-derived substances, digestion of food and beverage molecules, and de novo assembly using proteins encoded by genetic elements. Despite the significance of microbiome-derived metabolites to human health, there is no centralized knowledge base for community access. To address this, the "Collaborative Microbial Metabolite Center" (CMMC) leverages expertise in mass spectrometry, microbiome innovation, and the GNPS ecosystem to built a knowledgebase. It aims to create a user-accessible microbiome resource, enrich bioactivity knowledge, and facilitate data deposition. The CMMC includes the construction of a knowledge base, MicrobeMASST tool, and health phenotype enrichment workflows, the construction and use will be discussed in this presentation. The use of this ecosystem will be exemplified by the discovery of 20,000 bile acids, many of which were shown to be of microbial origin and linked to diet and IBD.
The top 3 key questions that this resource can answer:
1. How can we leverage the 1000’s of public metabolomics studies to discover microbial metabolites and their organ distributions as well as their phenotypic, including health, associations?
2. If one has an unknown molecule, how can one assess what microbes make a molecule without known structure?
3. How can one contribute to the expansion of the knowledgebase on microbial metabolites?
Upcoming webinars schedule: https://dknet.org/about/webinar
The National Center for Biotechnology Information (NCBI) provides one of the most extensive sets of web-based tools for biological research. The tools are indispensable when planning genomics experiments, including for qPCR, NGS, and CRISPR. In this presentation, Dr Matt McNeill takes a practical look at getting started with the wealth of NCBI tools, and shares some relevant tips to help you sift through the tools and options that we regularly use. In particular, he focuses on commonly adjusted parameters that will allow you to more effectively use the powerful Basic Local Alignment Algorithm Tool (BLAST) to identify off-target hybridization/annealing events. Dr McNeill also covers practical examples using NCBI tools to design assays.
In this talk, we present our work on developing large-scale text mining and machine learning tools as well as their uses in real-world applications in PubMed search, biocuration and healthcare (medical image analysis).
Data Visualization in Biomedical Sciences: More than Meets the EyeNils Gehlenborg
In science, data visualization serves two primary purposes. The first is to explore data sets interactively and the second is to communicate discoveries. However, the requirements for visualizations employed in these activities are very different. Therefore, the software tools used for these purposes are typically disconnected, creating significant challenges for reproducibility and effective communication of discoveries in data-driven biomedical science. In this presentation, I will address how a new approach to creating data visualization tools can connect data analysts and other stakeholders inside and outside the scientific community. I will introduce and demonstrate the "Vistories" approach that was motivated by these question.
Presented at the 5th Cancer Research UK Big Data Analytics Conference on Data Visualization.
This presentation was provided by Leslie McIntosh of Ripeta, during the NISO hot topic event "Preprints." The virtual conference was held on April 21, 2021.
dkNET Webinar: Illuminating The Druggable Genome With Pharos 10/23/2020dkNET
Abstract
Pharos (https://pharos.nih.gov/) is an integrated web-based informatics platform for the analysis of data aggregated by the Illuminating the Druggable Genome (IDG) Knowledge Management Center, an NIH Common Fund initiative. The current version of Pharos (as of October 2019) spans 20,244 proteins in the human proteome, 19,880 disease and phenotype associations, and 226,829 ChEMBL compounds. This resource not only collates and analyzes data from over 60 high-quality resources to generate these types, but also uses text indexing to find less apparent connections between targets, and has recently begun to collaborate with institutions that generate data and resources. Proteins are ranked according to a knowledge-based classification system, which can help researchers to identify less studied “dark” targets that could be potentially further illuminated. This is an important process for both drug discovery and target validation, as more knowledge can accelerate target identification, and previously understudied proteins can serve as novel targets in drug discovery. In this webinar, Dr. Tudor Oprea will introduce how to use Pharos to find targets of interest for drug discovery.
The top 3 key questions that Pharos can answer:
1. What are the novel drug targets that may play a role in a specific disease?
2. What are the diseases that are related directly or indirectly to a drug target?
3. Find researchers that are related directly or indirectly to a drug target.
Presenter: Tudor Oprea, MD, PhD, Professor of Medicine, Chief of Translational Informatics Division & Internal Medicine, University of New Mexico
dkNET Webinar Information: https://dknet.org/about/webinar
Presentation given by Appistry's Vice President of Product Strategy, Sultan Meghi at the World Genome Data Analysis Summit. Meghi presented about the big data challenges facing labs as they strive to manage the flow of genetic data from sequencer to the clinic.
Transforming Data Management and Time to Insight with Anzo Smart Data Lake®Cambridge Semantics
This webinar is targeted to Federal Government CIOs and
staff that are researching enterprise data management and
mining tools to help them understand how Smart Data Lakes
enable a viable mechanism for addressing their top priorities.
Watch this recorded webinar by Richard Mallah, Director of Advanced Analytics, to learn more about advancements in Text Analytics and how our Anzo Unstructured platform helps marry unstructured text with structured data from a wide variety of sources, allowing our customers to gain significant insights and competitive advantage by more easily and efficiently extracting meaning and value from the documents and the data.
Semantic Graph Databases: The Evolution of Relational DatabasesCambridge Semantics
In this webinar, Barry Zane, our Vice President of Engineering, discusses the evolution of databases from Relational to Semantic Graph and the Anzo Graph Query Engine, the key element of scale in the Anzo Smart Data Lake. Based on elastic clustered, in-memory computing, the Anzo Graph Query Engine offers interactive ad hoc query and analytics on datasets with billions of triples. With this powerful layer over their data, end users can effect powerful analytic workflows in a self-service manner.
Applying Data Engineering and Semantic Standards to Tame the "Perfect Storm" ...Cambridge Semantics
The financial industry is facing a perfect storm of disruptive drivers for data management. While regulators seek accuracy and transparency, institutions are struggling with fragmented data and IT infrastructures. The path forward is “data engineering” – applying consistent semantics with scalable infrastructure to harmonize data and enable traceable and dynamic analytics. In this webinar, we hear from industry practitioners and thought leaders on how this vision is being deployed and also see it in action.
Accelerating Insight - Smart Data Lake Customer Success StoriesCambridge Semantics
At Gartner Data & Analytics Summit 2017 Alok Prasad, President, was joined by Peter Horowitz of PricewaterhouseCoopers in presenting a session on how Cambridge Semantics' in-memory, massively parallel, semantic graph-based platform delivers an accelerating edge to data-driven organizations, while maintaining trust with security and governance.
dkNET Webinar: The Collaborative Microbial Metabolite Center – Democratizing ...dkNET
Presenter: Pieter Dorrestein, PhD, Professor, Skaggs School of Pharmacy and Pharmaceutical Sciences, Department of Pharmacology and Pediatrics, University of California San Diego
Abstract
In the analysis of organs, volatilome, or biofluids, the microbiome influences 15-70% of detectable mass spectrometry molecules. Typically, only 10% of human untargeted metabolomics data can be assigned a molecular structure, with merely 1-2% traceable to microbial origins. Human microbiomes contribute metabolites through the microbial metabolism of host-derived substances, digestion of food and beverage molecules, and de novo assembly using proteins encoded by genetic elements. Despite the significance of microbiome-derived metabolites to human health, there is no centralized knowledge base for community access. To address this, the "Collaborative Microbial Metabolite Center" (CMMC) leverages expertise in mass spectrometry, microbiome innovation, and the GNPS ecosystem to built a knowledgebase. It aims to create a user-accessible microbiome resource, enrich bioactivity knowledge, and facilitate data deposition. The CMMC includes the construction of a knowledge base, MicrobeMASST tool, and health phenotype enrichment workflows, the construction and use will be discussed in this presentation. The use of this ecosystem will be exemplified by the discovery of 20,000 bile acids, many of which were shown to be of microbial origin and linked to diet and IBD.
The top 3 key questions that this resource can answer:
1. How can we leverage the 1000’s of public metabolomics studies to discover microbial metabolites and their organ distributions as well as their phenotypic, including health, associations?
2. If one has an unknown molecule, how can one assess what microbes make a molecule without known structure?
3. How can one contribute to the expansion of the knowledgebase on microbial metabolites?
Upcoming webinars schedule: https://dknet.org/about/webinar
The National Center for Biotechnology Information (NCBI) provides one of the most extensive sets of web-based tools for biological research. The tools are indispensable when planning genomics experiments, including for qPCR, NGS, and CRISPR. In this presentation, Dr Matt McNeill takes a practical look at getting started with the wealth of NCBI tools, and shares some relevant tips to help you sift through the tools and options that we regularly use. In particular, he focuses on commonly adjusted parameters that will allow you to more effectively use the powerful Basic Local Alignment Algorithm Tool (BLAST) to identify off-target hybridization/annealing events. Dr McNeill also covers practical examples using NCBI tools to design assays.
In this talk, we present our work on developing large-scale text mining and machine learning tools as well as their uses in real-world applications in PubMed search, biocuration and healthcare (medical image analysis).
Data Visualization in Biomedical Sciences: More than Meets the EyeNils Gehlenborg
In science, data visualization serves two primary purposes. The first is to explore data sets interactively and the second is to communicate discoveries. However, the requirements for visualizations employed in these activities are very different. Therefore, the software tools used for these purposes are typically disconnected, creating significant challenges for reproducibility and effective communication of discoveries in data-driven biomedical science. In this presentation, I will address how a new approach to creating data visualization tools can connect data analysts and other stakeholders inside and outside the scientific community. I will introduce and demonstrate the "Vistories" approach that was motivated by these question.
Presented at the 5th Cancer Research UK Big Data Analytics Conference on Data Visualization.
This presentation was provided by Leslie McIntosh of Ripeta, during the NISO hot topic event "Preprints." The virtual conference was held on April 21, 2021.
dkNET Webinar: Illuminating The Druggable Genome With Pharos 10/23/2020dkNET
Abstract
Pharos (https://pharos.nih.gov/) is an integrated web-based informatics platform for the analysis of data aggregated by the Illuminating the Druggable Genome (IDG) Knowledge Management Center, an NIH Common Fund initiative. The current version of Pharos (as of October 2019) spans 20,244 proteins in the human proteome, 19,880 disease and phenotype associations, and 226,829 ChEMBL compounds. This resource not only collates and analyzes data from over 60 high-quality resources to generate these types, but also uses text indexing to find less apparent connections between targets, and has recently begun to collaborate with institutions that generate data and resources. Proteins are ranked according to a knowledge-based classification system, which can help researchers to identify less studied “dark” targets that could be potentially further illuminated. This is an important process for both drug discovery and target validation, as more knowledge can accelerate target identification, and previously understudied proteins can serve as novel targets in drug discovery. In this webinar, Dr. Tudor Oprea will introduce how to use Pharos to find targets of interest for drug discovery.
The top 3 key questions that Pharos can answer:
1. What are the novel drug targets that may play a role in a specific disease?
2. What are the diseases that are related directly or indirectly to a drug target?
3. Find researchers that are related directly or indirectly to a drug target.
Presenter: Tudor Oprea, MD, PhD, Professor of Medicine, Chief of Translational Informatics Division & Internal Medicine, University of New Mexico
dkNET Webinar Information: https://dknet.org/about/webinar
Meaningful (meta)data at scale: removing barriers to precision medicine researchNolan Nichols
Randomized controlled trials (RCTs) are the gold standard for evaluating therapeutics in patient populations. The data collected during RCTs include a wealth of clinical measures, biomarkers, and tissue samples – the analysis of which can lead to the approval of new medicines that improve the lives of patients. The secondary use of these data can also fuel the discovery of novel targets and biomarkers that support precision medicine, but a lack of metadata standards creates substantial barriers to reuse.
For this talk, I will discuss the challenges that arise when aggregating diverse types of data from a large number of RCTs and present a case study in how to apply (meta)data standards for the scalable curation and integration of these data into an analysis ready form.
Introduction to Gene Mining Part A: BLASTn-off!adcobb
In this lesson, students will learn to use bioinformatics portals and tools to mine plant versions of human genes. Student handout and teacher resource materials are available at www.Araport.org, Teaching Resources (Community tab). Suitable for grades 9-12 or first year undergraduate students.
Using Public Access Clinical Databases to Interpret NGS VariantsGolden Helix Inc
In this webcast on February 19th, Gabe Rudy, Vice President of Product Development, will showcase publicly available databases and resources available for interpreting rare and novel mutations in the context of his own personal exome obtained through a limited 23andMe pilot in 2012.
The last couple years have seen many changes in well-established resources such as OMIM and dbSNP, while motivating new efforts such as ClinVar and PhenoDB to bring NGS interpretation to clinical grade through a global data sharing effort.
In this webcast, Gabe will cover:
The changing landscape of public annotations: Then, Now, and Soon.
Will the new human reference (GRCh38) released in December be a game changer?
Specific examples of improvements in annotation and algorithms that result in more accurate analysis of his own exome.
The utility and progress of NGS to different clinical applications in terms of public resources: carrier screening, hereditary cancer risk, pharmacogenomics, oncology care, and genetic disorder diagnosis.
Sharing of new clinical data: How both variation and phenotype level data is currently being shared and what will be the way forward to match rare and undiagnosed cases at a global scale.
Ontologies & Machine Learning v2 - SciBIte Lab Of The Future 2019SciBite Limited
My presentation at this years lab of the future event at the genome campus in November 2019. Updated from the previous one to condense into a 20 minute slot. Talks about the role of ontologies in FAIR data environments and how #cleandata helps AI & deep learning processes. But also how machine learning can help us build more intelligent systems to deal with scientific content.
Are Ontologies Relevant In A Machine Learning World?SciBite Limited
My talk on how ontologies enrich artificial intelligence/deep learning/machine learning tasks in data science for drug discovery/pharma. Rather than being consigned to the technology dust bin, Ontologies have come of age and are now critical to making AI work to its maximum potential. This is a version of a talk i gave at the 2019 IV-SDC conference in Nice, France.
I recently was asked what sort of things i have considered in my experience of performing data integration in pharma for drug discovery. So here's the ten things i thought most important!
My talk at the Open PHACTS last ever project meeting in Vienna 2016 where i was asked to talk about the challenges we addressed in open phacts with semantic web technology and what still needed to be done.
Open PHACTS (Sept 2013) EBI Industry ProgrammeSciBite Limited
This is a talk i'm giving for the EBI's industry programme on 18th Sept. The slides are mostly what you may have seen before with a few new ones thrown in to not make it too boring! With grateful acknowledgment of all the folks in Open PHACTS who make this stuff happen.
Deep Leg Vein Thrombosis (DVT): Meaning, Causes, Symptoms, Treatment, and Mor...The Lifesciences Magazine
Deep Leg Vein Thrombosis occurs when a blood clot forms in one or more of the deep veins in the legs. These clots can impede blood flow, leading to severe complications.
Trauma Outpatient Center is a comprehensive facility dedicated to addressing mental health challenges and providing medication-assisted treatment. We offer a diverse range of services aimed at assisting individuals in overcoming addiction, mental health disorders, and related obstacles. Our team consists of seasoned professionals who are both experienced and compassionate, committed to delivering the highest standard of care to our clients. By utilizing evidence-based treatment methods, we strive to help our clients achieve their goals and lead healthier, more fulfilling lives.
Our mission is to provide a safe and supportive environment where our clients can receive the highest quality of care. We are dedicated to assisting our clients in reaching their objectives and improving their overall well-being. We prioritize our clients' needs and individualize treatment plans to ensure they receive tailored care. Our approach is rooted in evidence-based practices proven effective in treating addiction and mental health disorders.
About this webinar: This talk will introduce what cancer rehabilitation is, where it fits into the cancer trajectory, and who can benefit from it. In addition, the current landscape of cancer rehabilitation in Canada will be discussed and the need for advocacy to increase access to this essential component of cancer care.
KEY Points of Leicester travel clinic In London doc.docxNX Healthcare
In order to protect visitors' safety and wellbeing, Travel Clinic Leicester offers a wide range of travel-related health treatments, including individualized counseling and vaccines. Our team of medical experts specializes in getting people ready for international travel, with a particular emphasis on vaccines and health consultations to prevent travel-related illnesses. We provide a range of travel-related services, such as health concerns unique to a trip, prevention of malaria, and travel-related medical supplies. Our clinic is dedicated to providing top-notch care, keeping abreast of the most recent recommendations for vaccinations and travel health precautions. The goal of Travel Clinic Leicester is to keep you safe and well-rested no matter what kind of travel you choose—business, pleasure, or adventure.
INFECTION OF THE BRAIN -ENCEPHALITIS ( PPT)blessyjannu21
Neurological system includes brain and spinal cord. It plays an important role in functioning of our body. Encephalitis is the inflammation of the brain. Causes include viral infections, infections from insect bites or an autoimmune reaction that affects the brain. It can be life-threatening or cause long-term complications. Treatment varies, but most people require hospitalization so they can receive intensive treatment, including life support.
Rate Controlled Drug Delivery Systems, Activation Modulated Drug Delivery Systems, Mechanically activated, pH activated, Enzyme activated, Osmotic activated Drug Delivery Systems, Feedback regulated Drug Delivery Systems systems are discussed here.
TEST BANK For Accounting Information Systems, 3rd Edition by Vernon Richardso...rightmanforbloodline
TEST BANK For Accounting Information Systems, 3rd Edition by Vernon Richardson, Verified Chapters 1 - 18, Complete Newest Version
TEST BANK For Accounting Information Systems, 3rd Edition by Vernon Richardson, Verified Chapters 1 - 18, Complete Newest Version
TEST BANK For Accounting Information Systems, 3rd Edition by Vernon Richardson, Verified Chapters 1 - 18, Complete Newest Version
Letter to MREC - application to conduct studyAzreen Aj
Application to conduct study on research title 'Awareness and knowledge of oral cancer and precancer among dental outpatient in Klinik Pergigian Merlimau, Melaka'
The dimensions of healthcare quality refer to various attributes or aspects that define the standard of healthcare services. These dimensions are used to evaluate, measure, and improve the quality of care provided to patients. A comprehensive understanding of these dimensions ensures that healthcare systems can address various aspects of patient care effectively and holistically. Dimensions of Healthcare Quality and Performance of care include the following; Appropriateness, Availability, Competence, Continuity, Effectiveness, Efficiency, Efficacy, Prevention, Respect and Care, Safety as well as Timeliness.
Stem Cell Solutions: Dr. David Greene's Path to Non-Surgical Cardiac CareDr. David Greene Arizona
Explore the groundbreaking work of Dr. David Greene, a pioneer in regenerative medicine, who is revolutionizing the field of cardiology through stem cell therapy in Arizona. This ppt delves into how Dr. Greene's innovative approach is providing non-surgical, effective treatments for heart disease, using the body's own cells to repair heart damage and improve patient outcomes. Learn about the science behind stem cell therapy, its benefits over traditional cardiac surgeries, and the promising future it holds for modern medicine. Join us as we uncover how Dr. Greene's commitment to stem cell research and therapy is setting new standards in healthcare and offering new hope to cardiac patients.
Dr. David Greene R3 stem cell Breakthroughs: Stem Cell Therapy in CardiologyR3 Stem Cell
Dr. David Greene, founder and CEO of R3 Stem Cell, is at the forefront of groundbreaking research in the field of cardiology, focusing on the transformative potential of stem cell therapy. His latest work emphasizes innovative approaches to treating heart disease, aiming to repair damaged heart tissue and improve heart function through the use of advanced stem cell techniques. This research promises not only to enhance the quality of life for patients with chronic heart conditions but also to pave the way for new, more effective treatments. Dr. Greene's work is notable for its focus on safety, efficacy, and the potential to significantly reduce the need for invasive surgeries and long-term medication, positioning stem cell therapy as a key player in the future of cardiac care.
1. Data: The Good, The Bad
& The Ugly
Lee Harland
@SciBitely
http://www.scibite.com
http://www.slideshare.net/scibitely
Lee Harland
Lilly Global IT Meeting November 2016
2. Context
• This is an invited talk I gave at Lilly’s Internal Global IT meeting on the
subject of “data”
10. + =
…. (Promotion of) the nutritional importance of spinach over
other foods, lead to an increase of over 30 per cent in its
consumption during the 1920s and 30s.
The action of S. Oleracea on cardiovascular
output and muscular tone
11. Bad, Bad Data Point
1870 35.2 mg Fe/100g
1937 3.52 mg Fe/100g
The mythical strength-giving properties of
spinach are ... credited to a simple mistake
concerning the iron content of the vegetable.
In 1870, Dr E von Wolf published figures
which were accepted until the 1930s, when
they were rechecked
This revealed that a decimal point had been
placed wrongly and that the real figure was
only one tenth of Dr von Wolf's claim
16. Spinach: One Small Data Point, One Huge Mess
1870 35.2 mg Fe/100g
1937 3.52 mg Fe/100g
✓
✓
Both Values Are Correct – The difference is down to the assay conditions
20. ……estimates for the reproducibility of preclinical research range
from 51 percent to 89 percent. They estimate that at least half of
all U.S. preclinical biomedical research funding—about
$28 billion annually—is therefore squandered……
http://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002165
22. Provenance Is A Critical Component of Reproducibility
What L cells, where from,
how old, epigenetic profile
etc etc?
When, how often, in what
way, using what
system?????
What, when, how?
Could you accurately reproduce this experiment from this method?
* I was responsible for
this paragraph
23. http://www.nature.com/nrd/journal/v10/n9/full/nrd3439-c1.html
A first-of-a-kind analysis of Bayer's internal efforts to validate 'new drug
target' claims now not only supports this view but suggests that 50%
may be an underestimate; the company's in-house
experimental data do not match literature claims in
65% of target-validation projects, leading to project
discontinuation.
33. It hasn’t just got 3 names its got LOTS
carboxypeptidase B-like protein OR thrombin-activatable fibrinolysis
inhibitor OR CPB type 2 OR Carboxypeptidase type B2 OR
plasma carboxypeptidase type B OR carboxypeptidase type B2 OR
CPB2 OR Plasma carboxypeptidase type B OR CPB-2 OR
carboxypeptidase B2 (plasma),carboxypeptidase U OR
Carboxypeptidase type U OR carboxypeptidase type U OR plasma
carboxypeptidase B2 OR carboxy-peptidylase U OR thrombin-
activable fibrinolysis inhibitor OR plasma carboxypeptidase type
B2 OR carboxypeptidase B2 (plasma OR CPU OR
carboxypeptidase B2 OR PCPB OR pCPB OR Carboxypeptidase U
OR plasma carboxypeptidase B OR TAFI OR Carboxypeptidase B2
OR Plasma carboxypeptidase B OR Thrombin-activable
fibrinolysis inhibitor OR carboxypeptidase B2 plasma OR
carboxypeptidase R
34. “We also manually standardized
data related to lab measurement
units and terminology related to
patient race and ethnicity,
geographical study regions, and
names of drugs and drug
families. “
Yet Another Issue
38. Just What Is “The Data”?
•Mentions of all
• Genes, Diseases, Drugs, Tissues, Cells, Techniques,
Assays, Measures, Protocols, Compounds, Regimens,
Companies, People, Locations, Pathologies, Adverse
Events, Pathways, Metabolism, Manufacturing Concepts,
QC/QA, Pathogens, Strains, Animals … and so on...
•… And their relationships to each other
•… And their locations (section, database column)
•… Inferring relationships between documents/entries
•… Regardless of actual keyword used
44. Why Give Ugly Data A Makeover?
• ELN annotation using Bioassay Ontology
• Find all experiments using any Cell Flourescence technique”
• Pharmacovigilance
• Monitoring newsfeeds & internal data for safety signals
• Automatic Process Notification
• Alert groups based on content of CRO documents Etc
• Synergise Both Semantic Technology & Information Professionals
• Re-energise Therapeutic Area Literature Searching
• Build Knowledge Chains (Assertional Provenance)
• Project Management à ELN Data à Screen SOP
46. Spinach: The Truth Is Out There!
Spinach is high
in iron (!)
..oxalic acid in spinach prevents
more than 90% of iron from being
absorbed..
Acknowledgement
47. Acknowledgements
IMI Open PHACTS Team
(many more involved, I just
don’t have a photo L )
http://openphacts.org
SciBite Team
http://scibite.com