Find out how AI influences drug discovery, enabling earlier predictions and reducing the risks in clinical development.
TRPML1 is a promising target1 for Parkinson’s disease treatments and identifying translational biomarkers will help confirm target engagement ...
This figure illustrates three key applications of AI in antimicrobial drug development: (1) target identification and validation, including novel target discovery, affinity prediction, multi-target ...
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AI Pharma: 2 Paths to AI-Powered Drug Investment
The pharmaceutical industry is on the verge of a significant transformation due to the emergence of artificial intelligence ...
On January 9, 2026, the latest edition of Applied Artificial Intelligence for Drug Discovery was published online as a Springer Nature volume, spanning 27 chapters authored by leading international ...
Explore the role of transcription factor biology in drug discovery and how it impacts our understanding of disease mechanisms ...
SAN DIEGO--(BUSINESS WIRE)--Sapient, a leader in multi-omics data generation for biomarker discovery and clinical insight delivery, has launched the next generation of its multi-omics and real-world ...
Zhongyao Ma, PhD, holds a bachelor’s degree in biology from Shanghai Jiao Tong University and a PhD in genetics and developmental biology from the University of Georgia, U.S. His research focused on ...
The field of cancer research has increasingly focused on the metabolic underpinnings of tumorigenesis, recognizing how the reprogramming of cellular energy ...
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