Catalyst for Ground-breaking Discoveries in Biomedicine enabled by AI
The Center for AI-Driven Biomedical Research (AI4BIO) aims to develop advanced AI/ML methods to decipher the intricate “language” governing cellular structure, function, and communication across a wide range of biological contexts, from normal development to the formation of some of the most devastating incurable human diseases. From its home in CMU’s world-renowned Ray and Stephanie Lane Computational Biology Department, AI4BIO will build new bridges and expand the university’s leadership in AI for biomedicine.
Building AI Models for Genomes, Cells, and Tissues
AI4BIO will develop multiscale AI modeling frameworks for a cohesive understanding of genomes, cells, and tissues at different scales. This new paradigm is expected to illuminate fundamental aspects of gene regulation, cellular differentiation, tissue development, and disease progression. Model development will be enhanced by iterative AI/ML-guided experimentation, catalyzing unprecedented exploration into biological complexity with more intelligent and efficient experimental designs.
AI4BIO’s goal is to foster new AI model development that will specifically leverage recent breakthroughs in AI/ML, such as LLMs, to continuously learn from the wealth of data generated by the research community (e.g., single-cell genomics, high-resolution imaging, and high-precision genome engineering) to interpret the structure of genomes, cells, and tissues, capturing their spatial and temporal dynamics. These models will be interpretable, generalizable, and adaptable.