Lifelong behavioral screen reveals an architecture of vertebrate aging - PubMed
a day ago
- #aging
- #behavioral tracking
- #machine learning
- A platform was developed for high-resolution continuous behavioral tracking of African killifish across their natural lifespan.
- Distinct individual aging trajectories were observed, with behaviors of long-lived animals differing from short-lived ones early in life.
- Behavioral differences were linked to organ-specific transcriptomic shifts.
- Machine-learning models accurately inferred age and predicted future lifespan based on behavior at a young age.
- Animals progressed through adulthood in a sequence of stable, stereotyped behavioral stages with abrupt transitions, revealing a structured architecture of aging.