AI DRIVEN CLINICAL TRIALS: REDEFINING MEDICAL INNOVATION AND RESEARCH EFFICIENCY

Bharaneswar Thagarakunta

Thagarakunta Bharaneswar Priyadarshini Institute of Pharmaceutical Education and Research, 5th Mile, Pulladigunta, Guntur-522017, Andhra Pradesh, India.

Abstract

Artificial Intelligence (AI) has made a noticeable impact on the pharmaceutical industry, transforming several key areas of its operations. Artificial intelligence (AI) is turning the field of clinical trial design, execution, and analysis around by undertaking long-standing issues of high expenses, extended periods, low success rates, and inefficiencies in patient and data number recruitments. AI has been used in clinical trials in protocol optimization, feasibility, analysis of trial outcomes, intelligent patient identification, real time monitoring of data and improved patient engagement. The recent integration of technology providers with pharmaceutical companies has increased the step of practical application of AI in clinical research. The collaboration of Pfizer with IBM Watson to recruit patients to clinical trials, Roche with Google Cloud to develop a digital biomarker, AstraZeneca with Benevolent AI to develop a drug using AI, and others reflect the increasing role of AI in the clinical trial ecosystems. The future of AI application in clinical trials will have to rely on further technological improvement, regulatory modifications, and interdisciplinary cooperation. Moreover AI Can enhance the trial efficiency and cost effective clinical research.

Keywords: Artificial Intelligence, Drug Discovery, Drug development, Clinical trials, Machine Learning, Personalized Medicine

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