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biological-aging

topic2 events
papersSEP 10 04:00 UTC

Trust-Network Federated Learning Framework Proposed for Multi-Center Aging Clock Prediction

A new preprint presents a federated learning framework that trains biological aging clock models across multiple research centers without centralizing sensitive data, relying on a trust network to coordinate participants. The work also examines which protein interactions, ranging from pairwise to higher-order, contribute most to accurate aging predictions.

federated-learning/healthcare/aging-clock/privacy
papersSEP 9 10:58 UTC

AI-designed lung fibrosis drug linked to slower biological aging in trial

A drug candidate for lung fibrosis that was developed with the help of artificial intelligence produced effects in a study that point to a reduced pace of biological aging. The reported findings come from a single trial and indicate additional effects beyond the compound's intended antifibrotic action. Researchers have not yet established whether these observations translate into clinical benefits for patients.

drug-discovery/ai-biotech/clinical-trial/aging