Cited by 1,018Computational Drug Discovery MethodsArtificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

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Artificial intelligence in drug development: present status and future prospects

Mak, Kit-Kay, Pichika, Mallikarjuna Rao·2019·Drug Discovery Today

DOI 10.1016/j.drudis.2018.11.014

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Abstract

Artificial intelligence (AI) uses personified knowledge and learns from the solutions it produces to address not only specific but also complex problems. Remarkable improvements in computational power coupled with advancements in AI technology could be utilised to revolutionise the drug development process. At present, the pharmaceutical industry is facing challenges in sustaining their drug development programmes because of increased R&D costs and reduced efficiency. In this review, we discuss the major causes of attrition rates in new drug approvals, the possible ways that AI can improve the efficiency of the drug development process and collaboration of pharmaceutical industry giants with AI-powered drug discovery firms.

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Authors: Mak, K.-K., & Pichika, M. R.
Affiliations: IMU University (MY)
Corresponding author: Pichika, Mallikarjuna Rao
ORCID: Mak, Kit-Kay
Pichika, Mallikarjuna Rao
Venue: Drug Discovery Today
Publisher: Elsevier BV
Published: 2019-03
Volume: 24
Issue: 3
Pages: 773-780
ISSN: 1359-6446 (ISSN-L)
DOI: 10.1016/j.drudis.2018.11.014
OpenAlex: W2901411193
Cited by: 1,018
References: 73
Citations by year: 2026: 161 · 2025: 196 · 2024: 190 · 2023: 170 · 2022: 99 · 2021: 119 · 2020: 63 · 2019: 18
FWCI: 3.94
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Drug Discovery Today (publishedVersion)
PubMed (publishedVersion)
Funders: International Medical University
Topics: Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords: artificial intelligence, drug development, drug discovery, attrition rates, research and development costs, pharmaceutical industry
MeSH terms: Artificial Intelligence, Drug Industry, Humans, Drug Discovery

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Artificial intelligence in drug development: present status and future prospects

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