Woman Discovers Her Estimated Date of Death via AI Health Startup

A woman's journey with DeathClock reveals how AI predicts lifespan and health risks.

September 16, 2026 One Min Read

POLICY WIRE — New York, United States — Holly Baxter’s experience with DeathClock, an AI-driven health startup, led to an unexpected revelation about her estimated lifespan.

Baxter shared her personal details—height, weight, allergies, family medical history, daily sugar and alcohol intake, and sleep patterns—with the app. She also provided information about her grandparents’ ages, which influenced the initial prediction of her death at 83 years old. Despite this, she was skeptical and decided to take a blood test for more accurate results.

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The blood test process took place in a midtown New York facility, where the environment was both professional and unsettling. After receiving her results, Baxter’s predicted date of death shifted to February 4, 2028, at age 92, based on improved cholesterol levels and metabolic markers. The findings gave her a renewed sense of vitality and hope for a longer life.

Reporting by Policy-Wire (PW)

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