Papers referenced in the video: Predicting Age by Mining Electronic Medical Records with Deep Learning Characterizes Differences between Chronological and Physiological Age https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716867/
Hypolipidemic drugs, polyunsaturated fatty acids, and eicosanoids are ligands for peroxisome proliferator-activated receptors alpha and delta https://pubmed.ncbi.nlm.nih.gov/9113986/
Metagenomic and metabolomic remodeling in nonagenarians and centenarians and its association with genetic and socioeconomic factors https://pubmed.ncbi.nlm.nih.gov/37118062/
Positive regulation of the peroxisomal/3-oxidation pathway by fatty acids through activation of peroxisome proliferator-activated receptors (PPAR) https://pubmed.ncbi.nlm.nih.gov/8390886/
Papers referenced in the video: Predicting Age by Mining Electronic Medical Records with Deep Learning Characterizes Differences between Chronological and Physiological Age https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716867/
Cystatin C and long-term mortality among subjects with normal creatinine-based estimated glomerular filtration rates: NHANES III (Third National Health and Nutrition Examination Survey) https://pubmed.ncbi.nlm.nih.gov/21109116/
Metagenomic and metabolomic remodeling in nonagenarians and centenarians and its association with genetic and socioeconomic factors https://pubmed.ncbi.nlm.nih.gov/37118062/