Artificial intelligence in experimental studies and in drug design

The paper addresses the role of Artificial intelligence (A) in modern drug design and experimental work in biomedicine. It is shown how AI technologies can accelerate discovery and innovations and decrease the time of translational cycle. Advantages of AI and modern approaches are presented.

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Publication Details

Journal
Russian Journal for Personalized Medicine
Published
2025-03-07
DOI
https://doi.org/10.18705/2782-3806-2025-5-1-58-65
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
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article

Artificial intelligence in experimental studies and in drug design

М. М. Галагудза, А. О. Конради, Yа. G. Toropova
1 citations
Russian Journal for Personalized Medicine
Computational Drug Discovery Methods
1.50
article

Artificial intelligence in experimental studies and in drug design

М. М. Галагудза, А. О. Конради, Yа. G. Toropova
article en
1 citations

Abstract

The paper addresses the role of Artificial intelligence (A) in modern drug design and experimental work in biomedicine. It is shown how AI technologies can accelerate discovery and innovations and decrease the time of translational cycle. Advantages of AI and modern approaches are presented.

Russian Journal for Personalized MedicineVol. 5(1)
Federal Almazov North-West Medical Research Centre (RU)
Openalex Percentile: Top 19%
Computational Drug Discovery Methods
1.50
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