Research Interest: Translational Medicine
Name | PhD Program | Research Interest | Publications |
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Haendel, Melissa WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
The Translational and Integrative Sciences Laboratory (TISLab) aims to weave together healthcare systems, basic science research, and patient generated data through development of data integration technologies and innovative data capture strategies. Our research focuses on the development of semantic technologies for data harmonization and analytics, such as ontologies, knowledge graphs, and data models. We leverage these semantic resources to standardize phenotypic information coming from clinical encounters, model and veterinary species, and directly from patients. As part of a longstanding international consortium called the Monarch Initiative, we utilize structured phenotype data to integrate of genotype-phenotype data across species to improve rare disease diagnosis, mechanism discovery, and to identify treatments. We work with a number of rare disease communities around the world with the goal of making our data standards available for everyone and translated into different languages so that everyone can have access to the same knowledge and have the same chance for a diagnosis. We are passionate about environmental health and understanding new ways of making environmental and nutrition data computable alongside clinical data. For example, we have integrated patient nutrition survey data together with basic research knowledge to reveal dietary risk factors of women’s reproductive disorders. We recently obtained funding to create an atlas for toxicological experiments and phenotypic outcomes in the zebrafish. TISLab has also recently created a veterinary One Health program, which focuses on understanding health influences affecting veterinary species together with their pet parents. During Covid, we led a national initiative to harmonize Electronic Health Record data to aid discovery analytics, called the National Covid Cohort Collaborative (N3C). The N3C is now the largest publicly available HIPAA-limited dataset in US history, and has ~5,000 users. We have studied long-Covid, advised the White House and governor’s offices, and have won the NIH/FASEB DataWorks! Grand prize for our work on N3C. We also lead the Center for Linkage and Aquisition of Data (CLAD) for the All of Us Research Program. The CLAD aims to link passive data streams such as insurance claims, mortality, and environmental data to program participants to provide a more comprehensive picture of their health trajectories. We have produced several global standards, such as the Human Phenotype Ontology, Phenopackets (Global Alliance for Genomics and Health and ISO certified), Mondo, and LinkML. We regularly attend the American Medical Informatics Association, the American Association of Human Genetics, the International Biocuration Society, and the Bioinformatics Open Source at ISMB conferences. TISLab members come from a wide variety of of scientific backgrounds and interests, making us effective partners in translational science and collaborative analytics. |
Carmichael, Iain WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
My lab builds data driven, computational systems to analyze high-resolution histology images of diseased tissue as well as other clinical data sources to improve clinical decision making and advance basic scientific investigation of disease processes. Keywords: Artificial intelligence, computer vision/medical image analysis, natural language processing, deep-learning, open-source software, multi-omic analysis, digital pathology, multiplex immunofluorescence, spatial transcriptomics, cancer |
Hsueh, Ming-Feng WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Dr. Hsueh’s research is at the forefront of translational musculoskeletal and aging biology, utilizing cutting-edge multi-omic technologies to pioneer new therapeutic strategies for regenerating damaged joint tissue, with a particular focus on osteoarthritis (OA). Our lab employs advanced in vitro cell culture and cartilage explant models to delve into the mechanisms driving OA pathogenesis and to evaluate the potential of novel drug therapies. A key area of our research investigates the role of noncoding RNAs in human musculoskeletal tissues. We aim to uncover the intricate signaling pathways and downstream gene networks influenced by these noncoding RNAs. Our ultimate goal is to harness this knowledge to enhance the body’s natural repair mechanisms, providing innovative solutions to combat the progression of OA and restore joint function |
Trumbo, Aftyn |
PHD PROGRAM RESEARCH INTEREST |
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Sasser, Aubrey |
PHD PROGRAM RESEARCH INTEREST |
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San Andres Montalvan, Emily |
PHD PROGRAM RESEARCH INTEREST |
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Pires, Sabrina |
PHD PROGRAM RESEARCH INTEREST |
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Pacini, Sara |
PHD PROGRAM RESEARCH INTEREST |
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Nguyen, Jackie |
PHD PROGRAM RESEARCH INTEREST |
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Murcar, Micaela |
PHD PROGRAM RESEARCH INTEREST |
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