Machine Learning and Artificial Intelligence in Pharmaceutical Industry and Development

Rupali Madhav Thakare; Pooja Gangurde; Gauri Suresh sawant

doi:10.36948/ijfmr.2024.v06i06.31522

Machine Learning and Artificial Intelligence in Pharmaceutical Industry and Development

Author(s)	Rupali Madhav Thakare, Pooja Gangurde, Gauri Suresh sawant
Country	India
Abstract	Machine learning (ML) and artificial intelligence (AI) are transforming many industries by enabling systems to learn from data and perform tasks without the need for explicit instructions. In the pharmaceutical industry, these technologies are being used to overcome major challenges such as high research and development (R&D) costs, long drug development times, and complex regulations. AI and ML can help analyze large amounts of data, predict drug interactions, and improve trial design, reducing costs and speeding up the process of bringing new drugs to market. Although AI has great potential, it has only been used to a limited extent in the pharmaceutical industry due to strict regulations and, especially, the need for human oversight to ensure patient safety. However, there are significant challenges, including ethical concerns, privacy issues, and the need to train experts. There are different types of ML techniques, such as supervised learning, semi-supervised learning, unsupervised learning and reinforcement learning, that help in pattern recognition and decision-making. AI aims to solve problems, understand and use knowledge, plan, continuously learn, interact socially, promote creativity, and work well with people. AI has many advantages, such as reduced errors and technological advancements, but also disadvantages, such as high costs and possible job losses. AI is increasingly integrated into the pharmaceutical industry. Partnerships between pharmaceutical companies and AI technology providers can help improve drug discovery, streamline clinical trials.
Keywords	Machine learning (ML), Artificial intelligence (AI), Pharmaceutical industry, Clinical Trials, Drug discovery, Health care, Drug development, Medication
Field	Medical / Pharmacy
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-11-25
Cite This	Machine Learning and Artificial Intelligence in Pharmaceutical Industry and Development - Rupali Madhav Thakare, Pooja Gangurde, Gauri Suresh sawant - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.31522
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.31522
Short DOI	https://doi.org/g8r8hn

View / Download PDF File

E-ISSN 2582-2160

doi

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads

Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 6 Cover Page Vol 6 Isu 5 Cover Page Vol 6 Isu 4

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Machine Learning and Artificial Intelligence in Pharmaceutical Industry and Development

Share this