A Deep Learning Methodology for Screening New Natural Therapeutic Candidates for Pharmacological Cardioversion and Anticoagulation in the Treatment and Management of Atrial Fibrillation

A Deep Learning Methodology for Screening New Natural Therapeutic Candidates for Pharmacological Cardioversion and Anticoagulation in the Treatment and Management of Atrial Fibrillation

<b>Background:</b> The treatment and management of atrial fibrillation poses substantial complexity. A delicate balance in the trade-off between the minimising risk of stroke without increasing the risk of bleeding through anticoagulant optimisations. Natural compounds are often associat...

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Bibliographic Details
Main Authors: Tim Dong, Rhys D. Llewellyn, Melanie Hezzell, Gianni D. Angelini
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Biomedicines
Subjects:
deep learning
bioinformatics
drug discovery
transcriptomics
proteomics
atrial fibrillation
Online Access:https://www.mdpi.com/2227-9059/13/6/1323
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