TY - JOUR
AR - COR-2021-1-102
TI - AI – New Avenue for Drug Discovery and Optimization
AU - Anshu Chaudhary , Dudhe
AU - Rupesh, Dudhe
AU - Suhas N. , Sakarkar
AU - Omji , Porwal
JO - Clinical Oncology and Research
PY - 2021
DA - Sat 30, Jan 2021
SN - 2613-4942
DO - http://dx.doi.org/10.31487/j.COR.2021.01.02
UR - https://www.sciencerepository.org/ai-new-avenue-for-drug-discovery-and-optimization_COR-2021-1-102 
KW - Artificial intelligence, machine learning, deep learning, combination therapy
AB - The artificial intelligence (AI) used in drug treatment have to do with matching patients to their predicting drug-target or drug-drug interactions, optimal drug or combination of drugs, and optimizing treatment protocols. This review outlines some of the recently developed AI methods aiding the drug treatment and administration process. Selection of the suitable drug for a patient typically requires the patient data, such as genetics or proteomics, with drug data, like compound chemical descriptors, to score the therapeutic efficacy of drugs. The forecast of drug relations often relies on similarity metrics, pretentious that drugs with similar structures or targeted and similar behaviour or may interfere with each other. Deciding the dosage schedule for administration of drugs is performed using mathematical models to interpret pharmacokinetic and pharmacodynamics data.