In a recently accepted manuscript titled “Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data”, scientists from Insilico ...

From antibiotic resistance to emerging viral threats, the global demand for new medicines is intensifying, yet traditional drug discovery pipelines remain slow and expensive. A new scientific review ...

How innovative technologies like AI and gene editing are advancing rare disease drug discovery and development.

Overview: The global Artificial Intelligence (AI) in drug discovery market is projected to grow at a rate of 25-30% over the ...

When David Fajgenbaum was in medical school, he was diagnosed with an incurable illness called Castleman disease. He was 25 years old when doctors told him “there’s nothing we can do,” and a priest ...

Algorithms used for consumer predictions are being retooled to help identify which medicines are optimal and may carry hidden risks for patients. Researchers from Monash University used a different ...

The collaboration will combine Syngene’s preclinical development expertise with VivaMed's AI-generated therapeutic hypotheses.

Artificial intelligence is emerging as a powerful tool for improving the diagnosis, phenotyping, and treatment of inflammatory skin diseases such as alopecia.

Artificial intelligence (AI) machine learning is becoming an important tool in drug discovery. A new study published on Monday in Nature Machine Intelligence shows how AI deep learning can be used to ...

The study in brief: Cancer research//Basic research//Peer review publication//Researcher-initiated study//Computer simulation//Animal study//In vitro/In vivo//In ...