The Application of Knowledge Engineering via the use of a Biomimetic Digital Twin Ecosystem, Phenotype Driven Variant Analysis, and Exome Sequencing to Understand the Molecular Mechanisms of Disease

Applied Artificial Intelligence, particularly Large Language Models, in biomedical research is accelerating, but effective discovery and validation requires a toolset without limitations or bias. On January 30, 2023, the National Academies of Sciences, Engineering, and Medicine (NAS) appointed an ad hoc committee to identify needs and opportunities to advance the mathematical, statistical, and computational foundations of digital twins in applications across science, medicine, engineering, and society.

Source: Journal of Molecular Diagnostics - March 29, 2024 Category: Pathology Authors: William G. Kearns, J Georgios Stamoulis, Joseph Glick, Lawrence Baisch, Andrew Benner, Dalton Brough, Luke Du, Bradford Wilson, Laura Kearns, Nicholas Ng, Maya Seshan, Raymond Anchan Tags: Technical Advance Source Type: research