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Using AI and Computer Vision Techniques to Determine Age and Assess the Effect of Therapies Against Aging in Mice, Increasing the Pace of Research.

Developing a diagnostic system to measure human functional age in comparison to chronological age, and assist in the assessment of anti-aging therapeutics.

Designing better systems for detection and safe removal of dysfunctional “senescent” cells to improve health and treat age-related diseases.

High-throughput screening of a library of diverse drugs to find treatments for ‘ALT’ cancers, those which rely on Alternative Lengthening of Telomeres.

Testing a new class of compounds, Senolytics, on their ability to extend healthy lifespan by clearing out dysfunctional cells in the body.

Engineering backup copies of mitochondrial genes to place in the nucleus of the cell, aiming to prevent age-related damage and restore lost mitochondrial function.