Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation

<b>Background:</b> Deep learning methods may be useful for drug compound interaction and discovery analysis. However, there has been limited research on their use for screening biologically related adverse effects. <b>Objectives:</b> This study aims to pre-emptively screen for likely drug use persis...

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Hlavní autoři:	Tim Dong, Rhys Llewellyn, Melanie Hezzell, Gianni D. Angelini
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-09-01
Edice:	Bioengineering
Témata:	deep learning clinical trials adverse-effects screening drug discovery proteomics thrombotic disease prevention
On-line přístup:	https://www.mdpi.com/2306-5354/12/9/972
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