A Review Article on AI in Personalized Medicine & Novel Pharamacology

Abstract

A revolutionary change in contemporary healthcare is represented by the incorporation of artificial intelligence (AI) into personalized treatment. Utilizing a patient's genetic, molecular, and clinical characteristics, personalized medicine customizes treatments and diagnostics to maximize benefits and reduce side effects. By making it possible to analyse complicated datasets, such as those from genomes, proteomics, medical imaging, and electronic health records, AI technologies improve this paradigm by identifying biomarkers, forecasting treatment outcomes, and directing precision drug delivery. The creation of predictive, preventive, individualized, and participative healthcare models is encouraged by this synergy. At the same time, new developments in pharmacology keep redefining treatment strategies for a variety of illnesses. Drug development innovations for diseases like Parkinson's disease, anxiety, cardiovascular disease, cystic fibrosis, gastrointestinal problems, and urinary tract infections concentrate on focusing on certain neurotransmitter systems and molecular pathways.