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The Current Developments in Artificial Intelligence's Approach to Medical Discovery

Year: 2025

Type: article

Abstract: Artificial intelligence (AI) is revolutionizing drug discovery in medicine by enhancing precision, effectiveness, and creativity. Tools like virtual screening, de novo drug creation, and combinatorial QSAR and QSPR models are increasingly popular. This paper analyses AIdriven drug discovery, highlighting its shortcomings and potential. It addresses issues like moral dilemmas and limited data availability, suggesting solutions. The goal is to promote understanding of AI's potential and stimulate innovation in drug discovery procedures.

Source: International Journal of Pharmaceutical Research and Applications

DOI: 10.35629/4494-1004928933

Authors: Mrs.R.Priyadarshini Mrs.R.Priyadarshini, Prof.Dr.M.Alagarraja Prof.Dr.M.Alagarraja, Mrs.T.Umapoorani Mrs.T.Umapoorani

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W4413769651

FWCI:

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