Find out how AI influences drug discovery, enabling earlier predictions and reducing the risks in clinical development.

Large language models (LLMs) can be broadly applied across multiple key stages in drug development: (1) Target identification and drug screening. Llama-Gram, GPCR LLM, and ProtChat systems effectively ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Under an alliance framework with AstraZeneca, Merck, and Eli Lilly and Company leading as founding participants, the Atlas is ...

The newly upgraded HKEY-AIDMD 3.0 model library features nearly 300 autoimmune and allergy-related disease models. For multiple major indications, HKeyBio has established four-dimensional (4D) model ...

Early-stage regulatory strategy is becoming a powerful driver of speed, risk reduction, and commercial value in drug ...

GUEST COMMENTARY—For millions of patients, the slow pace of drug discovery means years – sometimes decades – without effective treatments. Many diseases remain untreatable, not because they are rare ...

Oversubscribed GBP2.5M seed round led by Ahren Innovation Capital -- Strategic collaboration with o2h to progress drug discovery programme CAMBRIDGE, England--(BUSINESS WIRE)--January 12, 2026-- ...

Demonstrates how dual-purpose therapeutic targets may address both hepatocellular carcinoma progression and cellular ...

Explore the role of depression drugs targeting the neurokinin-1 receptor and their potential impact on major depressive ...