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Improving drug effectiveness using a second-generation artificial intelligence system based on the constrained-disorder principle to incorporate variability into drug design and administration: a perspective

Abstract Identifying precise molecular targets is hindered by intricate disease mechanisms and the necessity for specificity. Biological noise and emerging resistance mechanisms demand personalized and combination therapies. Artificial intelligence (AI) holds promise for improving drug design by ana...

Deskribapen osoa

Gorde:
Egile Nagusiak: Noa Hurvits, Adi Holander, Adir Israeli, Tal Sigawi, Yaron Ilan
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Springer 2026-02-01
Saila:Discover Applied Sciences
Gaiak:
Artificial intelligence
Drug design
Variability
Biological noise
Pre-target
Target
Sarrera elektronikoa:https://doi.org/10.1007/s42452-026-08372-z
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