{"id":16758,"date":"2026-06-21T14:32:00","date_gmt":"2026-06-21T14:32:00","guid":{"rendered":"https:\/\/siliconvalleymovingpost.com\/?p=16758"},"modified":"2026-06-21T14:32:00","modified_gmt":"2026-06-21T14:32:00","slug":"can-ai-help-us-age-better-scientists-are-trying-to-find-out","status":"publish","type":"post","link":"https:\/\/siliconvalleymovingpost.com\/?p=16758","title":{"rendered":"Can AI help us age better? Scientists are trying to find out"},"content":{"rendered":"
\n

A growing number of researchers are turning to artificial intelligence to understand why some people remain healthy into their 90s while others develop chronic diseases decades earlier.<\/p>\n

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At labs throughout the Bay Area, the\u00a0technology is fueling a wave of longevity research aimed at measuring how long people live \u2014 and how well they age.<\/p>\n

Researchers say AI can uncover early signs of age-related diseases, predict an individual\u2019s biological age and identify factors contributing to healthier lives \u2014 all by sifting through vast amounts of data to find patterns nearly impossible for humans to detect. The tools are still being refined. But scientists believe they could accelerate discoveries to improve health and independence into older adulthood.<\/p>\n

The most ambitious applications of AI in aging research, including speeding drug development and testing, remain years away, experts said. Researchers must also navigate bias within systems trained on data that may not reflect the full diversity of the population. Still, patients are already seeing some benefits, such as AI-assisted scan readings that can reduce the odds of false positives.<\/p>\n

\u201cWe\u2019re already seeing the benefits,\u201d said Nathan Price, chief scientist at the Buck Institute for Research on Aging in Novato.<\/p>\n

Any discovery won\u2019t be an anti-aging silver bullet. Social, behavioral and structural factors \u2014 including whether patients can access or choose to use those treatments \u2014 will play an equally important role, said Angie Perone, the director of the Center for the Advanced Study of Aging Services at UC Berkeley.<\/p>\n

\u201cThis is only one piece of an important puzzle,\u201d Perone said.<\/p>\n

Predicting how cells age<\/strong><\/h4>\n

Scientists at Gladstone Institutes, based in San Francisco, recently launched an AI model to predict how human cells evolve with age. Trained on millions of cells, the model attempts to map the trajectory of aging, allowing researchers to forecast how cells might change and identify potential drivers of age-related decline.<\/p>\n

\n<\/div>\n

That marks a shift from earlier approaches, which largely compared snapshots of \u201cyoung\u201d and \u201cold\u201d cells. Instead, the model, developed by scientists led by physician-scientist Christina Theodoris, treats aging as a continuous process that can be learned and predicted.<\/p>\n

The team also tested some of the model\u2019s predictions in biological systems, identifying genes expected to accelerate aging and validating those effects in human heart cells and in mice. That kind of experimental follow-up is essential, experts say, though the research remains in early stages.<\/p>\n

\u201cThe real test will be whether these predictions hold up across many tissues and disease contexts,\u201d said Hani Goodarzi, a core investigator at Palo Alto-based Arc Institute, noting current tools, including animal models, are imperfect benchmarks.<\/p>\n

Significant hurdles remain. The model will require large-scale datasets that track how cells respond to drugs and genetic changes, along with validation across a wider range of tissues and diseases. And even the most accurate predictions must ultimately be translated into real-world therapies.<\/p>\n

\n<\/div>\n

Searching for hidden patterns\u00a0<\/strong><\/h4>\n

At the Buck Institute for Research on Aging, scientists are using artificial intelligence to figure out how to help people stay healthier for longer.<\/p>\n

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One of the institute\u2019s AI projects integrates individual genetic information, clinical lab results, microbiome data and other health measurements. Drawing on a database containing thousands of biological measurements from research participants, the system identifies patterns and generates personalized insights about health risks and interventions.<\/p>\n

\u201cThe microbiome is highly predictive of who will lose weight,\u201d Price said, noting that AI can uncover connections hidden within vast datasets. Users can interact with the platform through a chatbot-like interface that generates graphs, health scores and detailed analyses of their data. They expect the tool to be released to the public by the end of the year.<\/p>\n

It is part of Healthspan Horizons, a large-scale research initiative supported by a $52 million grant that aims to enroll thousands of participants and better understand the biology of aging on an individual level.<\/p>\n

Detecting disease earlier<\/strong><\/h4>\n

Artificial intelligence is also reshaping the way researchers study Alzheimer\u2019s disease by shifting the focus from symptoms to the biological changes occurring inside the brain.<\/p>\n

Rather than relying primarily on memory loss and other cognitive symptoms, AI is helping scientists analyze complex brain scans and other data to identify those changes earlier and more objectively.<\/p>\n

\u201cThe way we see Alzheimer\u2019s has shifted from seeing it as a clinical cognitive syndrome to a more biological disease,\u201d said Duygu Tosun-Turgut, a professor of radiology and biomedical imaging at UC San Francisco and founding director of Medical Imaging Informatics and Artificial Intelligence at the San Francisco Veterans Affairs Medical Center.<\/p>\n

That capability is particularly valuable for clinical trials. Before, researchers sometimes enrolled patients whose symptoms resembled Alzheimer\u2019s but were caused by other conditions, making it harder to determine whether experimental treatments were effective. AI can help identify people with the disease\u2019s true biological signatures, improving both patient selection and trial outcomes.<\/p>\n

Beyond research, Turgut believes AI could improve access to dementia screening and diagnosis, particularly in underserved communities. Specialized memory clinics remain scarce in many parts of the country, and studies have shown that dementia is often underdiagnosed among people with lower socioeconomic status.<\/p>\n

\u201cHopefully, we can develop tools that are cheap and scalable enough to be distributed to every geographic spot in the world,\u201d she said.<\/p>\n

Still, she and other researchers cautioned that AI systems are only as good as the data used to train them. Many research cohorts are disproportionately composed of highly educated participants and may not reflect the demographic diversity of the broader population.<\/p>\n

And so the promise of AI hinges on a hurdle researchers have yet to fully overcome: bias. Until these systems can consistently produce accurate, equitable results across diverse populations, human oversight remains essential. Still, scientists and startups are betting that AI will play an increasingly central role in unraveling the biology of aging, and, perhaps one day, extending healthy years of life.<\/p>\n

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Tool could speed up drug discovery for age-related diseases.<\/p>\n","protected":false},"author":1,"featured_media":16757,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21],"tags":[],"class_list":["post-16758","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-health"],"yoast_head":"\nCan AI help us age better? Scientists are trying to find out - Silicon Valley Moving Post<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/siliconvalleymovingpost.com\/?p=16758\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Can AI help us age better? 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