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How artificial intelligence is changing drug discovery
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“AI is, for example, the major driver behind the current trend toward personalized medicine, with treatments being tailored to each patient's specific biological profile (Fleming, 2018;Lichfield, 2018).”
From Artificial Intelligence and Management: The Automation–Augmentation Paradox (2021) · cites this paper as Fleming, 2018
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“Many more examples are available [3,32,33,34,35,36,37], showing that AI-based methods can accelerate the drug discovery process and enable the development of more effective medications.”
From The role of AI in drug discovery: challenges, opportunities, and strategies (2023) · cites this paper as [37]
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Metadata
- Authors
- Fleming, N.
- Corresponding author
- Fleming, Nic
- Venue
- Nature
- Published
- 2018-05-30
- Volume
- 557
- Issue
- 7707
- Pages
- S55-S57
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2806834952
- Cited by
- 546
- References
- 0
- Citations by year
- 2026: 41 · 2025: 49 · 2024: 81 · 2023: 95 · 2022: 97 · 2021: 81 · 2020: 56 · 2019: 38 · 2018: 7
- FWCI
- 34.22
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Physical Sciences › Materials Science › Materials Chemistry › Machine Learning in Materials Science
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- artificial intelligence, drug discovery, machine learning, pharmaceuticals, computer-aided drug design
- MeSH terms
- Machine Learning, Algorithms, Amyotrophic Lateral Sclerosis, Animals, Artificial Intelligence, Automation, Drug Industry, Humans, Neoplasms, Pattern Recognition, Automated, Robotics, Efficiency, Organizational, Mice, Drug Discovery, Precision Medicine
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