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Researchers have developed an actionable roadmap to reduce the environmental impact of the large data centers needed to power the AI boom.

Discover how digital detection of dementia enhances early diagnosis in primary care without extra clinician time or costs.

Researchers sequenced the genomes of Northern and Southern Maned Sloths, uncovering distinct conservation challenges. Southern sloths show low genetic diversity, while northern ones face rapid inbreeding due to deforestation.

Discover how a machine-learning drug toxicity prediction model enhances the predictive power of AI in drug trials, boosting safety.

An international team discovered that ancient viral DNA fragments help regulate genes essential for placental function. The study identified virus-derived enhancers linked to the gene EPS8L1, whose overexpression triggers pre-eclampsia-like changes.

A study shows that genome-wide association studies (GWAS) and rare variant burden tests highlight different disease genes. GWAS often detect genes linked to multiple traits, while burden tests pinpoint disease-specific ones.

Researchers showed that a protein language model could design functional human antibodies that recognized unique antigen sequences of specific viruses, without requiring part of the antibody sequence as a starting template.

Researchers have developed biosensor technology that, when combined with artificial intelligence, shows promise for detecting lung cancer through breath analysis.

MIT researchers developed a tool called KATMAP that shows how cells use the same genes in different ways to make unique proteins. The model helps explain how small changes in this splicing process can lead to diseases like cancer.

Learn about NextBrain, the AI-assisted brain atlas that analyzes MRI scans, unlocking insights into the cellular architecture of the brain.