Data science & AI

Research in this area involves using advanced data analytics and AI techniques to analyze and interpret complex datasets, which can be applied to various domains, including healthcare, to make informed decisions and predictions including: 

Retrospective and Prospective Clinical Studies:

This research category encompasses studies that investigate medical data and patient outcomes from both past and future perspectives. Retrospective studies analyze historical data, while prospective studies are designed to collect data over time to assess the effects of interventions or therapies.

Biomarkers of Longevity:

Biomarkers are measurable biological indicators that can provide insights into the aging process and overall health. Research in this area aims to identify and study these biomarkers to better understand longevity and age-related diseases.