Artificial intelligence in drug development: present status and future prospects.
Drug Discov Today. 2019 Mar; 24(3):773-780.DD

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+Show Affiliations

Mak KK

School of Postgraduate Studies and Research, International Medical University, Kuala Lumpur, Malaysia; Department of Pharmaceutical Chemistry, School of Pharmacy, International Medical University, Kuala Lumpur, Malaysia.

Pichika MR

Department of Pharmaceutical Chemistry, School of Pharmacy, International Medical University, Kuala Lumpur, Malaysia; Head, Centre for Bioactive Molecules and Drug Delivery, Institute for Research, Development and Innovation (IRDI), International Medical University, Kuala Lumpur, Malaysia. Electronic address: mallikarjunarao@imu.edu.my.

MeSH

Artificial IntelligenceDrug DiscoveryDrug IndustryHumans

Pub Type(s)

Journal Article

Review

Language

eng

PubMed ID

30472429

Citation

Mak, Kit-Kay, and Mallikarjuna Rao Pichika. "Artificial Intelligence in Drug Development: Present Status and Future Prospects." Drug Discovery Today, vol. 24, no. 3, 2019, pp. 773-780.

Mak KK, Pichika MR. Artificial intelligence in drug development: present status and future prospects. Drug Discov Today. 2019;24(3):773-780.

Mak, K. K., & Pichika, M. R. (2019). Artificial intelligence in drug development: present status and future prospects. Drug Discovery Today, 24(3), 773-780. https://doi.org/10.1016/j.drudis.2018.11.014

Mak KK, Pichika MR. Artificial Intelligence in Drug Development: Present Status and Future Prospects. Drug Discov Today. 2019;24(3):773-780. PubMed PMID: 30472429.

* Article titles in AMA citation format should be in sentence-case

TY - JOUR T1 - Artificial intelligence in drug development: present status and future prospects. AU - Mak,Kit-Kay, AU - Pichika,Mallikarjuna Rao, Y1 - 2018/11/22/ PY - 2018/07/21/received PY - 2018/10/14/revised PY - 2018/11/19/accepted PY - 2018/11/26/pubmed PY - 2019/7/26/medline PY - 2018/11/26/entrez SP - 773 EP - 780 JF - Drug discovery today JO - Drug Discov Today VL - 24 IS - 3 N2 - 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. SN - 1878-5832 UR - https://www.unboundmedicine.com/medline/citation/30472429/Artificial_intelligence_in_drug_development:_present_status_and_future_prospects_ DB - PRIME DP - Unbound Medicine ER -

Tags

Artificial intelligence in drug development: present status and future prospects.Drug Discov Today. 2019 Mar; 24(3):773-780.DD