Artificial Intelligence and Anticancer Drug Development-Keep a Cool Head.

artificial intelligence new drug discovery oncology serendipity

Journal

Pharmaceutics
ISSN: 1999-4923
Titre abrégé: Pharmaceutics
Pays: Switzerland
ID NLM: 101534003

Informations de publication

Date de publication:
31 Jan 2024
Historique:
received: 25 12 2023
revised: 22 01 2024
accepted: 26 01 2024
medline: 24 2 2024
pubmed: 24 2 2024
entrez: 24 2 2024
Statut: epublish

Résumé

Artificial intelligence (AI) is progressively spreading through the world of health, particularly in the field of oncology. AI offers new, exciting perspectives in drug development as toxicity and efficacy can be predicted from computer-designed active molecular structures. AI-based in silico clinical trials are still at their inception in oncology but their wider use is eagerly awaited as they should markedly reduce durations and costs. Health authorities cannot neglect this new paradigm in drug development and should take the requisite measures to include AI as a new pillar in conducting clinical research in oncology.

Identifiants

pubmed: 38399265
pii: pharmaceutics16020211
doi: 10.3390/pharmaceutics16020211
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Caroline Bailleux (C)

Centre Antoine Lacassagne, Oncology Departement Unit, University Côte d'Azur, 06000 Nice, France.

Jocelyn Gal (J)

Centre Antoine Lacassagne, Epidemiology and Biostatistics Department, University Côte d'Azur, 06000 Nice, France.

Emmanuel Chamorey (E)

Centre Antoine Lacassagne, Epidemiology and Biostatistics Department, University Côte d'Azur, 06000 Nice, France.

Baharia Mograbi (B)

IRCAN Group, University Côte d'Azur, 06000 Nice, France.

Gérard Milano (G)

Centre Antoine Lacassagne, University Côte d'Azur, 33 Avenue de Valombrose, 06189 Nice, France.

Classifications MeSH