Ph.D., CSO, MATE Bioservices
Biography
Charlotte Nelson received her PhD from the University of California, San Francisco in Biological and Medical Informatics under the mentorship of Dr. Sergio Baranzini and Dr. Atul Butte. Here she envisioned the use of SPOKE, a heterogeneous knowledge graph, not solely as a graph for users to go from one node to another, but as a stage for biomedical innovation. This vision saw her embed the data from millions of patients onto SPOKE. Her research has showcased multiple clinical and pharmaceutical applications of SPOKE enhanced with real world data. Additionally, in collaboration with NASA, she showed that SPOKE’s capabilities could be expanded to basic science (non-medical) research to gain multi-domain insights of input datasets. In 2021, Mate Bioservices was launched, in partnership with UCSF, to harness the power of SPOKE with platforms and services to advance academic, clinical, and pharmaceutical research.
Talk
Beyond Data: A Knowledge Platform for Biomedical Research
Today’s most pressing biomedical problems will only be solved through multidisciplinary exchanges of data and knowledge. Mate Bioservices’ human-centric platforms and services leverage our powerful knowledge graph to enable this interchange. Now academic, pharmaceutical, and clinical researchers can accelerate innovation by investigating their private data through a multidisciplinary and multi-omics lens.
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: Riddhiman Das, TripleBlind
- John Halamka, Mayo Clinic
- David Albert, AliveCor Inc. - 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
- Katy Wack, PathAI
- Steve Anderson, LabCorp
- Nigam Shah, Stanford
- Leveraging Multiomic Data to Advance Rare Disease Drug Discovery and Development (PANEL)
Session Chair: Justin Bingham, CENTOGENE
- Purvesh Khatri, Stanford
- 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 Sciences for Proteogenomics and Targeted Therapies of Cancers
- Gil Omenn, University of Michigan
- PMWC 2022 Showcase
- Kelly Hall, InheRET, Inc.
- Calum Macrae, Harvard
