Hyperspectral imaging in ORNL’s Advanced Plant Phenotyping Laboratory captures plant biochemical composition beyond visible light, resulting in massive amounts of data used to train an AI foundation model.
Scientists empower an AI foundation model to accelerate plant research
Colorful scientific illustration of an enzyme. A complex yellow ribbon structure represents the enzyme's folded protein chains, while green molecular shapes interact with the enzyme's active site. A twisted green strand on the left indicates a substrate or cofactor. Surrounding the enzyme are abstract blue water molecules and bubbles.
Synthetic biology, AI-driven analysis reveal new polymer-targeting enzymes

Advanced Computing for Health Sciences Section

Delivering scalable computational solutions to biomedical and healthcare delivery challenges.

The Advanced Computing for Health Sciences Section harnesses Oak Ridge National Laboratory's computing and data expertise to accelerate breakthroughs in the health sciences. The Biostatistics and Biomedical Informatics Group develops statistical, ML and deep learning methodologies for large-scale genomics, text, and imaging applications, and the Multimodal Data Analytics Group leverages expertise in large-scale biomedical informatics and statistical genetics to build and use tools — such as scalable AI and machine-learning solutions for multidimensional, multimodal data in high-performance computing environments — for healthcare applications.