Modern biology is awash in data. Scientists can sequence DNA, track gene activity cell-by-cell, map proteins in space, and image tissues at microscopic resolution. However, it is a struggle to put all ...
Two major AI-driven advances are aiming to reshape bioinformatics and biomedical research. KAUST scientists have proposed a 'super transformer' to integrate diverse biological data into one model, ...
Researchers at KAUST have developed a 'super transformer' AI designed to integrate diverse biological data types into a single model, potentially transforming how scientists link genetic changes to ...
In a Policy Forum, Doni Bloomfield and colleagues discuss the need for expanded – yet tailored and flexible – governance for the biological data used to develop powerful artificial intelligence (AI) ...
“Initiatives like MetaGraph and the adoption of Standard ST.26 represent a concerted effort to harness global biological sequence data through innovative computational approaches.” In a recent ...
The UAB Biological Data Science Core, one of the newest of the 15 Institutional Research Core Facilities at UAB, specializes in something else. The mission of U-BDS is to turn the mass of data ...
Over the past two decades, new technologies have helped scientists generate a vast amount of biological data. Large-scale experiments in genomics, transcriptomics, proteomics, and cytometry can ...