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Chairperson’s opening remarks
Keynotes
Nevine Zariffa, Principal And Founder, NMD Group
Data innovation in the American government: how the HHS effectively leverages data, technology and innovation to improve lives
Keynotes
Ramesh Kolluru, Chief Innovation Officer, HHS
Automating data: how AI and automation will impact the use of data applied to lab interconnectivity and sample analysis
Keynotes
Gianluca Pettiti, President, Biosciences Division, Thermo Fisher Scientific
Keynote Panel
Keynotes
Data strategies for R&D, addressing the importance of privacy, leveraging new technology and analytics for product commercialization, and integrating data into pharma companies.
Arpa Garay, President, Global Pharmaceuticals, Merck
Marco Prunotto, Senior Clinical Development Scientist, F. Hoffmann-La Roche AG
Nevine Zariffa, Principal And Founder, NMD Group
Need for speed: using automation, AI-based analytics and rapid genomics to save babies admitted to NICUs around the country
Data Journey
Ray Veeraraghavan, Senior Director, Informatics & IM, Rady Children's Institute for Genomic Medicine
Software as a medical device: approaching challenges to the adoption and regulation of AI-enabled software and improving the quality of real world data
AI & Machine Learning
Christina Silcox, Managing Associate, Duke Margolis Center for Health Policy
The rise of single cell and long range sequencing: examining the impact of whole genome sequencing on the clinical industry, phenotyping, and navigating new technologies
Genomics
David Smith, Professor, Mayo Clinic
Targeting groups of cancer genes in a pathway: how to identify driver alterations within pathways and choose a targetable alteration to optimize cancer therapy
Data for R&D
James Broach, Director Of The Penn State Institute For Personalized Medicine, Penn State College of Medicine
Using deep genomics to uncover new insights in cancer R&D: how Deep Genomics liquid biopsy detects new mutational patterns and boosts R&D efficacy
Data for R&D
William Rickets, Director of Clinical Affairs, Quantgene
Jo Bhakdi, Founder & CEO, Quantgene
Engaging patients with data
Data for Healthcare
How to develop effective strategies to engage patients in the selection of patient-centred outcomes and research questions
Nick Knezevic, Associate Professor of Anesthesiology and Surgery, Vice Chair for Research and Education, University of Illinois at Chicago, Advocate Illinois Masonic Medical Center
A foundation for data analytics: applying the FAIR principles to create an enterprise-wide data commons that accelerates drug discovery research
Data Journey
Nolan Nichols, Bioinformatics Software Engineer, Genentech
The convergence of big data and AI: how big data enables artificial intelligence to provide more meaningful results and how to apply that learning to your company
AI & Machine Learning
Prasun Mishra, Chief Executive Officer, Association for Precision Medicine
Sequencing data from Asian populations
Genomics
How sequencing more than 100,000 genomes will promote genetic understanding of diverse Asian ethnicities, intersect with microbiome research, increase knowledge of rare/inherited diseases, and further precision medicine.
Stephan Schuster, Scientific Chairman, Genome Asia
Cancer data mining: how to leverage the recent influx of complex molecular data in immune-oncology to understand tumor- immune interaction, identify new targets, and develop novel biomarkers
Data for R&D
Andrey Loboda, Director Of Informatics And Analytics In Genetics And Pharmacogenomics Department, Merck And Company
Clinical data analytics: tools, techniques, and strategies used for data analytics
Data Journey
Joachim Luithle, Vice President And Head Of Clinical Development Operations, Bayer
Quantum privacy computing at scale: how quantum computing can be more secure than traditional RSA computing and its potential to secure data at scale
AI & Machine Learning
More information soon.
James Dzierzanowski, Executive Director, Kaiser Permanente
Rapidomics: a case study examination of the record setting rapid sequence unit that enabled Rady’s NICU to combat infant mortality rates
Genomics
Stephen Kingsmore, President And Chief Executive Officer, Rady Children's Hospital
Creating value through large genomic data sets: how human guided machine learning is used to analyze large patient data sets and develop novel oncology therapies
Data for R&D
Panna Sharma, President and Chief Executive Officer, Lantern Pharma
Bridging the gap: how data analysis can improve the assessment of patients’ needs and improve the access to care
Data for Healthcare
Lauren Green, Clinical Data Specialist, Eastern Virginia Medical School
Reproducing successful data outcomes: combining seemingly unrelated information and variables to analyze process results through a globally-integrated bioinformatics platform
Data Journey
Sridhar Iyengar, CEO, Elemental Machines
More (and better) data: How data quality can improve AI prediction accuracy by over 30%
AI & Machine Learning
Yugal Sharma, Senior Director, Solutions, Chemical Abstracts Service
Early cancer detection with deep genomics and AI: new insights on AI-guided pattern recognition and single-molecule precision for early cancer detection
Genomics
Jo Bhakdi, Founder & CEO, Quantgene
Harnessing the power of integrated care: combining claims data with population insights to address ‘whole person health’ and enable truly patient-centric healthcare
Data for Healthcare
Collette Manning, Anthem Blue Cross and Blue Shield’s Specialty Businesses
Roundtable: Incentivizing orphan drug innovation: how to motivate companies to develop orphan drugs through changes to reimbursement and tax incentives
Keynotes
Monika Schneider, Research Associate, Margolis Center For Health Policy, Duke University
Roundtable: Microbiomes as indicators of health: how the surrounding environment can impact human health, and an examination of the data supporting this as evidence
Keynotes
Stephan Schuster, Scientific Chairman, Genome Asia
Roundtable: Mitigating the risk of mobile healthcare
Keynotes
How to secure data with the influx of healthcare apps and the move to patient interaction via mobile devices by conducting more frequent HIPAA security checks and penetration-testing / vulnerability-assessments of IT systems.
Fergal Mccaffery, Director, Regulated Software Research Centre, Dundalk Institute of Technology
Roundtable: Multidisciplinary approaches: how to apply digital data to drug discovery, use new technology for data mining, and utilize machine learning
Keynotes
Yizhen Dong, Principal, 11.2 Capital
Roundtable: The impact of safety data collection: how to treat disease and improve the quality of life for patients while properly characterizing the effects of the drug
Keynotes
Jenny Royle, Patient-Centricity Senior Program Leader, digital Experimental Cancer Medicine Team
Roundtable:Terabytes of data is not enough: building a better biobank via data product design, analytic services, data delivery, cloud-based analytic toolkits and other means
Keynotes
Jud Schneider, Chief Technology Officer, Nashville Biosciences
Data accessibility: how to pool internal and external data sources for clinical development and how to utilize tech platforms and rapid data prototyping to increase accessibility
Data Journey
Mike Kellen, Chief Technology Officer, Sage BioNetworks
In silico drug design: how to use computer simulations to identify/validate target biomarkers, discover/optimize leads, and perform pre-clinical tests
AI & Machine Learning
Govinda Bhisetti, Head Of Computational Chemistry, Biogen
Genotype-phenotype correlation: how the Qatar National Genome Project combined whole genome sequencing and omics data with phenotypic data from Qatar Biobank to plan for new pipelines
Genomics
Mohamed-Ramzi Temanni, Technical Manager - Bioinformatics, Sidra Medicine
Value based assessment: how Real-World Evidence (RWE) can improve estimates of actual drug use and costs, and increase transparency in health outcomes
Data for R&D
More information soon.
Xin Chen, Associate Director, Data Science & Outcomes Research, Merck
How telehealth is changing behavioral healthcare
Data for Healthcare
Meeting the growing unmet demand of behavioral health care services, addressing barriers to adoption, and operational considerations for the unique clinical structure of telebehavioral health services.
Lan Chi (Krysti) Vo, Medical Director Of Telehealth, Psychiatry And Behavioral Health Services, The Children's Hospital of Philadelphia
Executing digital strategy: how to anchor your data strategy in daily operations
Data Journey
Alexander Krupp, Head Of Computational Life Science It Pharmaceuticals, Bayer
Prioritizing targets: how to lower the cost and time needed for drug discovery by incorporating AI to assess the level of confidence of a target and choose a druggable protein
AI & Machine Learning
Adam Godzik, Director And Professor, Bioinformatics And Structural Biology Program, Sanford-Burnham Medical Research Institute
Polygenic disease risk prediction with deep learning: how to combine the use of polygenic risk scores and deep learning frameworks to assess the utility of single nucleotide polymorphisms (SNP)
Genomics
Ali Torkamani, Director Of Genome Informatics, Drug Discovery, Integrative Structural And Computational Biology, The Scripps Translational Science Institute
Transforming insight access: identifying companies developing similar assets, ranking experts in the field, and visualizing trends in future impact areas to support value assessment
Data for R&D
Daniel Jamieson, Chief Executive Officer, Biorelate
Increasing health system efficiency: how to combine telemedicine, data, and artificial intelligence to drive an effective program
Data for Healthcare
Matthew Shafer, Administrative Director, Telehealth, Erlanger Health System
Capturing data through wearables: how using mobile apps connected to wearable devices can improve data collection
Data Journey
Sohini Chowdhury, Chief Executive Officer, Michael J. Fox Foundation
Translational bioinformatics: how to generate translational insights by integrating and validating public/internal data through a combination of statistical and machine learning methods
AI & Machine Learning
Sàndor Szalma, Senior Director, Biomedical Informatics, Takeda
Machine learning for enhancers: how to link target genes to enhancers via learning algorithms to predict gene expression patterns from the data
Genomics
Gerry Higgins, Research Professor Of Computational Medicine And Bioinformatics, University of Michigan Medical School
Addressing disparate health systems within populations: how to create partnerships between pharma, government, and health-disparate populations
Data for Healthcare
Tammy Anderson, Veteran Affairs National Director, AstraZeneca
Artificial intelligence in ophthalmology: leveraging AI and 2D images to predict 3D measurement, disease progression and response to therapy
AI & Machine Learning
Marco Prunotto, Senior Clinical Development Scientist, F. Hoffmann-La Roche AG
Biologically rationalizing discoveries: using graphical models for biological insight and precision medicine
Genomics
Jonathan Dry, Director, Data Science And Bioinformatics, Early Oncology, AstraZeneca
EHR data for health disparity environments: Using clinical data from EHRs to develop clinical decision support algorithms to aid primary care physicians in health disparity zones such as inner city, r
Data for Healthcare
William Paiva, Managing Partner, Oklahoma Life Science Fund
Keynote Fireside Chat: Data democratization: how to convey the value of data sharing to the industry, patients, and clinic
Keynotes
Kamal Sharma, Director, Strategic Initiatives, Director, Strategic Initiatives, Data Strategy & Services, Novartis Pharmaceutical
Peter Goodhand, Executive Director, Global Alliance for Genomics & Health
Mike Kellen, Chief Technology Officer, Sage BioNetworks
Closing remarks followed by networking drinks reception
Keynotes
More information soon.
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Keynote Panel: Data sharing and interoperability for achieving the promise of precision medicine – accelerating diagnosis and treatment efficacy for common and rare disease around the world
Keynotes
Details to be announced
Christina Waters, CEO and Founder, RARE Science
Lynsey Chediak, World Economic Forum
Wendy Benson, Vice President of Strategic Initiatives, Rady Children's Institute for Genomic Medicine
Arthur Herman, Principal Strategic Consultant- NCAL Region, WEF Fellow, HL7 committee member, Kaiser Permanente
David Atkins, Chief Executive Officer, Congenica
C-level / SVP Healthcare Panel: data strategies to lower the cost of healthcare, encouraging collaboration between entities, and integrating EMR usage for increased efficiency
Keynotes
Jason Johnson, Senior Vice President, Chief Health Information Officer, Dana Farber Cancer Institute
Mayur Saxena, Chief Executive Officer, Droice Labs
David Kaelber, Chief Medical Informatics Officer And Vice-President Of Health Informatics, The Metro Health System
Anthony Chang, Chief Intelligence And Innovation Officer, CHOC Children's
Analyzing multiple information modalities: how to combine imaging data, text mining, devices
AI & Machine Learning
More information soon.
Faisal Khan, Executive Director Of Advanced Analytics And Artificial Intelligence, AstraZeneca
Clinical data applications for the non-coding genome: how to leverage machine learning and deep learning for data sets of varying size and apply exome sequencing in a clinical context
Genomics
Amalio Telenti, Professor, Scripps Research
EMR: how using Electronic Medical Record data and genetic data accelerates drug discovery, development and RWE applications
Data for R&D
Jud Schneider, Chief Technology Officer, Nashville Biosciences
Imaging data: how personalized imaging can benefit population health by improving monitoring and lowering overall cost
AI & Machine Learning
Mark Punyanitya, Chief Executive Officer, PhenoMx
Genomic Big Data Analytics in the Plecosystem Economy: how to navigate siloed genomic data on multiple platforms and apply the data in a clinical context
Genomics
John Mattison, Chio, Asst Med Dir, Kaiser Permanente
FDA updates for rare disease data: how to approach rare disease data and make company-wide updates to improve data submission
Data for R&D
Xin Du, Senior Vice President And Head Of Global Regulatory Affairs, Adlai Nortye Biopharma
Transforming drug discovery: how AI and image data sets helps understanding how healthy cells are impacted by diseases and consequently guide therapy development
AI & Machine Learning
Lina Nilsson, Senior Director - Data Science Product, Recursion Pharmaceuticals
Advancing infectious disease diagnostics: applying AI and machine learning to analyze complex genomic data
Genomics
Sivan Bercovici, CTO, Karius Inc
Real world data for rare diseases: how to make drug development more feasible for rare diseases and improve regulatory decision making
Data for R&D
More information soon.
Monica Weldon, CEO, Bridge The Gap Syngap Education And Research Foundation
Scaling medical imaging and machine learning in clinical research: data Management, curation, computational workflows, and more
AI & Machine Learning
Gunnar Schaefer, Co-Founder And Chief Technology Officer, Flywheel.io
Roundtable: AI for therapeutics: how to apply automation and machine learning to treatments and encourage the use of AI beyond drug discovery
Keynotes
June Lee, Chair, Artificial Intelligence, National Institutes of Health (NIH)
ROUNDTABLE: AI integration: how incorporating AI into all phases of drug development from target discovery, to the recovery of failed projects is transforming pharma
Keynotes
Jud Schneider, Chief Technology Officer, Nashville Biosciences
Roundtable: Computational molecular dynamics: small molecule data approaches for modifying drugs and identifying targets
Keynotes
Amelia Anderson, Computational Biochemistry Research Scientist, SENS Research Foundation
Roundtable: Data to Eliminate Health Disparities
Keynotes
Addressing the need for diversity in clinical trials and treatment by strategizing locations of research centers and clinics, creating accessible physician support, and using data to target individuals for outreach
Stephanie Monroe, Executive Director,, African Americans Against Alzheimer's
Roundtable: Data’s intersect with outer space: how research in the microgravity environment could change the way we look at cell data and transform drug pipelines
Keynotes
Jana Stoudemire, Director Of Commercial Innovation, Space Tango
Sylvain Costes, Project Manager, NASA
Roundtable: Genomics in drug discovery: how to expedite the drug development through genomics and structural/cultural changes
Keynotes
Nadeem Sarwar, Founder And President, Eisai
Roundtable: Strategic data presentations for government support
Keynotes
How to engage government officials by shifting from the use of quantitative data (hard numbers) to qualitative data (telling the patient story) in your presentation.
Eve Bukowski, Vice President, Patient Advocacy, Education and Outreach, California Life Sciences Association - CLSA
Roundtable: Using data for clinical collaboration: how to accelerate research by encouraging collaboration between industry and patient advocates and by sharing data for use in clinical trial design
Keynotes
Hollie Schmidt, Vice President Of Scientific Operations, Accelerated Cure Project for Multiple Sclerosis
Kerry Leeson-Beevers, National Development Manager, Alstrom Syndrome U.K.
Lee Lehman-Becker, Global Head R&D Digital And Personalized Health Care Partnering, roche
Big data in policy: addressing policy issues related to clinical trial designs, technological innovations, and the analysis of large scale health datasets
Data for Healthcare
Mohammed Khair Elzarrad, Deputy Director, Office Of Medical Policy, Center For Drug Evaluation And Research, U.S. Food and Drug Administration (FDA)
CBER’s “BEST” initiative: how to use healthcare and EHR data to support regulatory decision-making
Data for Healthcare
Steven Anderson, Director Of Our Office Of Biostatistics And Epidemiology, U.S. Food and Drug Administration (FDA)
last published: 11/Oct/19 14:25 GMT
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