KSM, Maccabi Healthcare Services and Longevity AI join forces to advance healthcare through innovative research
Longevity AI is partnering with KSM, the research and innovation arm of Maccabi Healthcare Services, on a joint research program to model the aging process and develop tailored medical AI that helps clinicians slow it down. Maccabi is Israel's leading health maintenance organization, and the collaboration will draw on anonymized population-scale data to advance how proactive care is delivered to its members.
The research will initially focus on cardiovascular disease, the world's leading cause of death and the single largest driver of chronic care spending in Western health systems. The goal is to give clinicians earlier, more accurate risk signals than today's standard-of-care calculations provide, and to make those signals actionable inside everyday clinical workflows.
Why this matters
Most cardiovascular risk assessment in primary care still relies on tools built decades ago on narrow population samples. The Framingham Risk Score, the most widely used of these, was developed from data on roughly 5,000 men in a single American town in the mid-twentieth century. It has been refined since, but its underlying structure has changed very little. For populations that look nothing like the original cohort — and for the modern reality of comorbid chronic disease across a patient's full health trajectory — that gap shows up in missed opportunities for earlier intervention.
The Longevity AI platform was built to close that gap. It continuously interprets clinical, behavioral, and historical signals across each patient's history, then surfaces what is changing, why it matters, and where preventive action can have the greatest long-term impact. The joint research with KSM will use Maccabi's longitudinal dataset to strengthen these models for a real, modern, diverse population — and to identify the lifestyle and clinical levers that most reliably move long-term risk.
What the partnership covers
Together, KSM and Longevity AI will conduct joint research designed to help medical professionals proactively prevent chronic disease, starting with cardiovascular disease and expanding into adjacent age-related conditions over time. The research program will use anonymized data from Maccabi's member population to model how risk evolves over years and decades, identify the parameters that most often shift a patient's trajectory, and translate those findings into clinical decision support that fits inside existing workflows.
For Maccabi clinicians, the practical outcome is a clearer picture of each member's long-term health trajectory, with prioritized guidance on the one or two interventions most likely to make a difference for that specific patient. For the broader healthcare system, the work contributes to a growing body of evidence that population-scale longitudinal data, applied carefully and under clinician oversight, can meaningfully improve preventive care at scale.
"We are excited to announce our new research collaboration with Longevity AI to model aging processes, slowing them down using tailored medical AI — shaping the future of health."
~ KSM, Maccabi Healthcare Services
Building on a clinical-first foundation
Longevity AI's approach is deliberately grounded in evidence-based medicine. The platform builds on established clinical standards before layering in additional signal — wearable data, behavioral trends, longitudinal lab patterns — so that clinicians see the gold standard they trust first, and then see what else the data is telling them. Florence, the platform's clinical companion, brings these insights into the EMR and helps clinicians act on them without adding new logins or parallel systems.
The KSM collaboration deepens that foundation. By working directly with one of the most established health systems in Israel, with research conducted through its dedicated innovation arm, Longevity AI continues to validate its models against real clinical practice and real patient populations — the conditions under which preventive care actually has to work.
Bring preventive care to your clinic
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