Work

AI-enabled pharmaceutical techniques

Year: 2025

Type: article

Abstract: The integration of Artificial Intelligence (AI) into pharmaceutical sciences is revolutionizing drug discovery, development, manufacturing, and personalized treatment.AI-enabled pharmaceutical techniques leverage machine learning, deep learning, and data analytics to streamline processes, reduce costs, enhance accuracy, and accelerate timelines.This research paper explores the current state, methodologies, applications, and future directions of AI in pharmaceutical technologies.Emphasis is placed on drug discovery, clinical trials, pharmacovigilance, and precision medicine, while addressing challenges such as data quality, regulatory concerns, and ethical implications.

Source: African Journal of Medicine and Pharma Research

DOI: 10.18231/j.ajmpr.v.3.i.1.1

Author: Girendra Kumar Gautam

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDGs: Good health and well-being, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4413220499

FWCI:

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