Session Chair Profile
Director, Center for Innovation and Bioinformatics, Mass General Hospital; Principal Associate in Neurology, Harvard Medical School
Biography
The focus of my work and research is conception, design, development of technology, platforms, infrastructure, and methods for collaborative clinical research and optimization of clinical research in disease-specific networks. We introduced such innovative concepts as NeuroBANK®, a patient-centric platform and accelerated research environment, utilized by hundreds of investigators at 80+ clinical sites in 14 countries; PRO-ACT™, a harmonized anonymized dataset from 23 ALS clinical trials utilized for future clinical trials’ design and AI and ML modeling; and The SigNET™ Platform for unique and secure patient identification across research continuum. All three platforms have won the Best Practice Award (2013-2015-2018-2020) from Bio-IT World Congress in Precision and Translational Medicine category, as “outstanding example of how technology innovations and strategic initiatives can be powerful forces for change in the life sciences.” Other research: technologies for secure collaboration, integration, harmonization, and sharing of clinical and research information by all clinical research enterprise participants.
Talk
Data FAIRness for Precision Research
Research data are invaluable resource of disease-specific knowledge. FAIRnization of data makes possible for academia, foundations, and industry to create pre-competitive resources for applying AI/ML modeling in identification of disease biomarkers, patient subpopulations, and creating disease progression and disease staging models, i.e., precision research and knowledge stratification.
Session Abstract – PMWC 2022 Silicon Valley
The value of data in healthcare is undeniable and realized when raw information is successfully converted into knowledge that changes clinical practice. To drive value improvements and ensure that the right patient receives the right care requires the right data in combination with the right data analytics. This session will cover various aspects and challenges of data science in hospitals and health systems that drive healthcare with better outcomes.
Sessions:
- Data Sharing Application: Needs, Advancements, and Challenges
- Russ Cucina, UCSF
- Removing Data Sharing Barriers; Expectations for the Healthcare Industry
Session Chair: Greg Storm, TripleBlind
- John Halamka, Mayo Clinic
- Bob Borek, Datavant
- Next-Generation Data Sharing: Discoverable, Accessible, Interoperable Data (PANEL)
Session Chair: John F. Kalafut, Asher Orion Group
- Joel Sevinsky, Theiagen Genomics
- Ittai Dayan, Rhino Health
- Sharmila Majumdar, UCSF
- Rajan Wadhwa, Anthem - Sustainable Data Systems via FAIR Data Principles
Session Chair: Alex Sherman, MGH
- Multi-Factor Data Science to Inform Clinical Research
Session Chair: Charlotte Nelson, MATE Bioservices
- Gundolf Schenk, UCSF - Translational AI: Innovation to Clinical Implementation and Reimbursement (PANEL)
Session Chair: John J. Sninsky, Translational Consultant
- Erick Lin, PathAI
- Nigam Shah, Stanford
- Shivang Doshi, Paige - Leveraging Multiomic Data to Advance Rare Disease Drug Discovery and Development (PANEL)
Session Chair: Justin Bingham, CENTOGENE
- Michael Hund, EB Research Partnership - AI/ML in Hospitals and Clinics / Digital Health Transformation / Predicting Clinical Outcomes
Session Chair: Robert Hauser, Vidence
- Alan Kaplan, LLNL
- Peter Yu, Hartford Healthcare
- Amir Bahmani, Stanford
- Data Science for Proteogenomics of Cancers
- Gil Omenn, University of Michigan
- PMWC 2022 Showcase
- Amanda Cook, InheRET, Inc.
- Calum Macrae, Harvard
