Modern biomedical research, such as the National COVID Cohort Collaborative and the Personal Genome Project, requires large amounts of data that are specific to individuals.

Most recently, he was awarded nearly $2.4 million by the NIH for a five-year competitive renewal of the research grant on Biomedical Computing and Visualization Tools for Computer-integrated ...

Data analysis and interpretation: developing and applying algorithms and techniques to analyze and interpret large volumes of biomedical data. This may include medical images, genomic data, electronic ...

JANUARY 23, 2025 — Researchers with the UTSA School of Data Science (SDS) and UTSA College of Sciences have been awarded a three-year, $474,000 grant from the National Institutes of Health (NIH) to ...

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--DNAnexus, Inc., a leading provider of cloud-based biomedical data analysis software serving the life sciences community, today announced a $200 million ...

The Oxford Drug Discovery Institute is using artificial intelligence and ‘knowledge graphs’ to sift through vast amounts of biomedical data, potentially leading to faster treatments ...

Interfacing with biomedical knowledge graphs and software BioChatter can be adapted to specific research areas to pull data from biomedical databases and literature. Further, instructing LLMs to ...

The mission of the Nevada INBRE Data Science Core is to foster an inclusive statewide support system aimed at increasing bioinformatics and biomedical data science research at all education levels ...

The same data chart as above, but run through a simulation filter to demonstrate what it would look like for someone with a common type of colour blindness. Trajkova et al., Informatics (2020 ...