Researchers have developed AI-driven evaluation standards to enhance ageing-related interventions, aiming to improve health outcomes and longevity through personalized, reliable recommendations.

Researchers from the Yong Loo Lin School of Medicine at the National University of Singapore (NUS Medicine) and the Institute for Biostatistics and Informatics in Medicine and Aging Research at Rostock University Medical Center in Germany conducted a collaborative study on the use of advanced AI tools, such as Large Language Models (LLMs), to enhance the evaluation of ageing-related interventions and provide personalized recommendations. Their findings were published in the journal Ageing Research Reviews.

Ageing research generates vast amounts of data, making it challenging to assess the safety and effectiveness of interventions like new medications, dietary modifications, or exercise regimens. This study explored how AI can streamline data analysis with greater efficiency and accuracy.