Giulio Napolitano, Canan Has, Anne Schwerk, Jui-Hung Yuan, Carsten Ullrich
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引用次数: 0
Abstract
The growth in breadth and depth of artificial intelligence (AI) applications has been fast, running hand in hand with the increasing amount of digital data available. Here, we comment on the application of AI in the field of drug development, with a strong focus on the specific achievements and challenges posed by rare diseases. Data paucity and high costs make drug development for rare diseases especially hard. AI can enable otherwise inaccessible approaches based on the large-scale integration of heterogeneous datasets and knowledge bases, guided by expert biological understanding. Obstacles still exist for the routine use of AI in the usually conservative pharmaceutical domain, which can easily become disillusioned. It is crucial to acknowledge that AI is a powerful, supportive tool that can assist but not replace human expertise in the various phases and aspects of drug discovery and development.
期刊介绍：
Pharmaceutical Medicine is a specialist discipline concerned with medical aspects of the discovery, development, evaluation, registration, regulation, monitoring, marketing, distribution and pricing of medicines, drug-device and drug-diagnostic combinations. The Journal disseminates information to support the community of professionals working in these highly inter-related functions. Key areas include translational medicine, clinical trial design, pharmacovigilance, clinical toxicology, drug regulation, clinical pharmacology, biostatistics and pharmacoeconomics. The Journal includes:Overviews of contentious or emerging issues.Comprehensive narrative reviews that provide an authoritative source of information on topical issues.Systematic reviews that collate empirical evidence to answer a specific research question, using explicit, systematic methods as outlined by PRISMA statement.Original research articles reporting the results of well-designed studies with a strong link to wider areas of clinical research.Additional digital features (including animated abstracts, video abstracts, slide decks, audio slides, instructional videos, infographics, podcasts and animations) can be published with articles; these are designed to increase the visibility, readership and educational value of the journal’s content. In addition, articles published in Pharmaceutical Medicine may be accompanied by plain language summaries to assist readers who have some knowledge of, but not in-depth expertise in, the area to understand important medical advances.All manuscripts are subject to peer review by international experts. Letters to the Editor are welcomed and will be considered for publication.
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