Department of Biomedical and Health Informatics Laboratories

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The scientific teams who work within DBHi laboratories use new methodological and technical approaches that advance science and interdisciplinary collaboration across a wide range of research topics. Ultimately, their goal is to contribute to high-quality, efficient healthcare that improves the diagnosis and treatment of children.

Almasy Lab

The Almasy Lab uses computational approaches to study the contribution of genetic factors to complex disorders’ etiology and neuropsychiatric phenotypes across the lifespan.

Taylor Lab

The Taylor Lab identifies treatments from complex biological networks in silico models of metabolic disorders or diseases, such as Leigh syndrome.

Tsui Lab

The Tsui Lab integrates healthcare and patient data to develop end-to-end, real-time decision support for direct impact on hospital staff, patients, and public health.

Helbig Lab

The Helbig Lab uses computational methods to understand the role of clinical and genetic factors in childhood epilepsies, facilitating precision medicine approaches.

Tan Lab

The Tan Lab uses systems biology approaches to identify and characterize gene pathways underpinning tumorigenesis and normal development. The ultimate goal of the research in this laboratory is to use information from patient-specific, integrated gene networks to improve the diagnosis and treatment of cancer patients.

Campbell Laboratory

The Campbell Lab uses computational methods including natural language processing and other machine learning to improve the diagnosis and management of children with rare genetic disorders. One key interest of the laboratory is to integrate genetic information into patients’ electronic health records to provide real-time clinical decision support.