Herbal medicines

The current research study explored the physiological and psychological shifts that take place in the bodies of transgender men and transgender women on undergoing hormone therapy. A quantitative comparative study design was employed involving 120 individuals – 60 transgender men on testosterone therapy and 60 transgender women on estrogen and anti-androgen therapy over a period of one year. The study involved data collection using methods such as anthropometry, hormonal profiling, laboratory testing, cardiovascular examination, and psychosocial measures. The results showed marked physiological transformations in the form of increased muscle mass and elevated hemoglobin content among transgender men, and increased body fat accumulation and breast growth and decreased muscle mass among transgender women. In addition, there were certain effects noted on the metabolism and cardiovascular system as a result of hormone therapy. The psychological effects included better emotional well-being, improved body image and self-esteem, and lower levels of anxiety and depression.

This current study focuses on the impact of Artificial Intelligence (AI) on the rapid identification of new molecules to suppress aging processes, which increases the proportion of healthspan relative to lifespan. The research approach taken involved a quantitative method, where artificial intelligence-based machine learning, bioinformatics, and statistical analysis were used alongside computational molecular docking. Biochemical information from databases such as PubChem, DrugBank, and ChEMBL was leveraged to screen and analyze molecular data. It was observed that AI-assisted predictive models, especially Deep Learning Neural Networks, offered highly accurate predictions concerning the biological activity of anti-aging compounds. The selected molecules showed considerable decreases in oxidative stress, inflammation, and cellular senescence markers, coupled with improved mitochondrial function and cell repair. Moreover, quantitative results showed that the use of AI for predicting the efficacy of anti-aging agents led to more significant healthspan enhancements than lifespan increases.