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 ...

Explore AI in drug discovery and its journey from promise to proof in 2025 with significant achievements and challenges faced.

With big pharma signalling interest in novel RNA-targeted approaches, the term “druggable” is being redefined as technology ...

Antimicrobial resistance (AMR) is diminishing the effectiveness of existing antibiotics and intensifying the need for discovery pipelines that are both ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

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 ...

Join us for a webinar on how advances in target-based drug discovery are reshaping therapeutic design. We’ll explore ...

Explore the latest advancements in Alzheimer’s drug research, revealing hope for earlier diagnosis and new treatment options.

Merck and Mayo Clinic have announced a research and development agreement to apply AI, advanced analytics and multimodal clinical data to support drug discovery and development.

Insilico Medicine ("Insilico", 3696.HK), a clinical-stage generative artificial intelligence (AI)-driven drug discovery ...