International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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

Call for Paper Volume 6 Issue 4 July-August 2024 Submit your research before last 3 days of August to publish your research paper in the issue of July-August.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 4
July-August 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Future Directions of AI In Pharma : Innovation In Pharmaceutical Industry

Author(s) Priyanka B. Wanjul, Sudarshan Parshuram Mourya, Vaibhav Laxman Gangad
Country India
Abstract Artificial Intelligence (AI) is a technology that simulates human intelligence and problem-solving processes. It encompasses human cognitive functions such as reading, observation, preparation, interpretation, reasoning, correction, speech recognition, linguistics, and other sources. AI simplifies tasks by allowing machines to learn from past experiences, map efforts and actions to results, identify errors, correct them, adjust to new and random input values, and perform human-like tasks through in-depth scenario analysis. AI simplifies work by analyzing, filtering, sorting, predicting, scoping, and determining large data volumes to follow the best implementation procedures for producing an optimal solution.
In the pharmaceutical industry, AI has several applications, including discovery and development of new drugs for complex and rare diseases such as Alzheimer's and Parkinson's, drug adherence and dosage, producing better analytics, finding more reliable patients faster for clinical trials, introducing automated robot pharmacies to fill prescriptions and dispensing, and improving marketing, logistics, and supply chain processes. AI has the potential to cut costs, create new, effective treatments, and, above all, save lives. Biotech companies should start using AI to their advantage as soon as possible. The industry has a lot to gain from embracing AI and machine learning solutions. AI can help create a strong, sustainable pipeline of new medicines faster and at reduced costs using the power of modern supercomputers and machine learning. This article exhaustively reviews the present status and future prospects of AI in pharmaceutical sciences with specific attention to the pharmaceutical industry. The literature has been collected from Pubmed, Google Scholar, and commercial websites related to this field. Overall, the future lies in cooperation between humans and machines, and alongside technological advances. Human clinical experts will need to adapt, learn, and grow. Potential experts will have to be both medical and technology experts. However, it is the evolution of medicine, not extinction.
Keywords Artificial intelligence, pharmaceutical science, R&D, drug discovery, disease, machine learning, Therapeutics, Medicine, Clinical trials
Field Medical / Pharmacy
Published In Volume 5, Issue 3, May-June 2023
Published On 2023-05-19
Cite This Future Directions of AI In Pharma : Innovation In Pharmaceutical Industry - Priyanka B. Wanjul, Sudarshan Parshuram Mourya, Vaibhav Laxman Gangad - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.3098
DOI https://doi.org/10.36948/ijfmr.2023.v05i03.3098
Short DOI https://doi.org/gr9r44
View / Download PDF File

Share this


E-ISSN 2582-2160
CrossRef

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 4 Cover Page Vol 6 Isu 3 Cover Page Vol 6 Isu 2

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 Open Access

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