Back to search

Article

Artificial Intelligence in Drug Discovery: A New Paradigm from Target Identification to Clinical Translation

2025-10-30

Abstract excerpt

The drug discovery process is historically characterized by high costs, protracted timelines, and substantial attrition rates. Artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), is now fundamentally reshaping this landscape by introducing unprecedented speed, efficiency, and predictive power. This comprehensive review delineates the transformative impact of AI across the entir...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
cf7b0c9f-99b9-5eca-9491-559f79dc0e2d
DOI
10.22541/au.176184278.86885419/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Artificial Intelligence in Drug Discovery: A New Paradigm from Target Identification to Clinical TranslationDOI 10.22541/au.176184278.86885419/v1
Select a neighboring publication to make it the new centre.