Media Coverage (Computational Biology)

This profile details Lee Hood and his decades-long mission to transform medicine through systems biology and predictive health. Hood outlines how large-scale biological data and longitudinal studies could enable earlier detection of disease and more proactive healthcare.

Researchers in the Gibbons Lab used computer models of gut metabolism to predict which probiotic strains will successfully establish in an individual’s microbiome and how prebiotics influence beneficial molecule production, a step toward more personalized microbiome-based interventions.

A study led by researchers in ISB’s Gibbons Lab found that bowel movement frequency is linked to differences in gut microbiota and subtle changes in blood chemistry, suggesting that both infrequent and overly frequent defecation may relate to microbiome balance and toxin exposure risk.

Lee Hood was ranked #41 on Forbes’ “250 America’s Greatest Innovators” list, published in celebration of America’s 250th anniversary. The list highlights individuals whose scientific leadership, creativity, and impact are shaping the future of science and innovation — and recognizes Hood’s lasting contributions to research and discovery.

Dr. Lee Hood joined podcast host Jeremy Koenig to discuss the evolution of medicine from reactive care to P4 health. He explored eight paradigm shifts that have transformed biology and highlighted how systems thinking, big data, and AI are reshaping wellness and personalized care.

ISB’s Cory Funk is a guest on the Optispan podcast, and sifts through why hundreds of Alzheimer’s drugs have missed the mark – and what actually moves the needle – turning hard lessons into practical takeaways for patients, clinicians, and researchers.

ISB’s Sean Gibbons joins host Mark Martin and provides a lively tour of how you actually “count” a microbiome – turning gut talk into hard numbers with tools like metagenomics, qPCR, and flow cytometry, plus myth-busting and why biomass and growth rates matter for real-world health.

Using microbial community-scale metabolic models, ISB’s Gibbons Lab can analyze an individual’s gut microbiome data and predict the colonization risk of Clostridioides difficile. In an interview, Associate Professor Dr. Sean Gibbons discussed the implications of this research.