Health Data Integration and Exploitation team

Team

Scientific projects - Research

Representation and integration of knowledge sources for system biology

Selected Publications: Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science. Clinical and Translational Science (Clin Transl Sci. 2022) PMID:36125173


Introducing user constraints in modeling approaches

Biomedical data Translator - Phase 3 - User Engagement and Impact lead Research project in user experience and implementation of biomedical researchers preference feedback to improve modeling performance. Milestones: (1) Identifying and collecting user data to build quantitative measures of performance (2) Quantifying user needs, expectations, and user factors introducing variance in performance measures of Translator AI models outcomes (3) Building a standard tracking system to feedback internally quantitative measures of performance into the internal system (4) Design tasks-specific test suites for testing purposes

NIH/NCATS project, funded for 5 years (2024-2029) Collaboration with the Broad Institute of MIT and Harvard, Camridge, USA; Penn State University, University Park, USA; Institute of System Biology, Seattle, USA, Oregon State University, Corvallis, USA

Selected Publications: An approach for collaborative development of a federated biomedical knowledge graph-based question-answering system: Question-of-the-Month challenges (Clin Transl Sci. 2023) PMID: 37900350


Machine learning algorithms for system biology: modeling constraints in high dimensional space

Spatial MVB Selected Publications: Mapping the landscape of genetic dependencies in chordoma (Nat Commun. 2023) [PMID:37024492] (https://pubmed.ncbi.nlm.nih.gov/37024492/) Neuro-Clinical Signatures of Language Impairments after Acute Stroke: A VBQ Analysis of Quantitative Native CT Scans (Curr Top Med Chem. 2020) [PMID:32066362] (https://pubmed.ncbi.nlm.nih.gov/32066362/) Neuro-Clinical Signatures of Language Impairments: A Theoretical Framework for Function-to-structure Mapping in Clinics (Curr Top Med Chem. 2020) [PMID:32116193] (https://pubmed.ncbi.nlm.nih.gov/32116193/)


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