Machine learning in drug discovery, along with artificial intelligence, is transforming the pharmaceutical industry by accelerating the development of new treatments. Historically, the process of ...

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...

Key market opportunities in AI training datasets include the rising use of synthetic data to address data scarcity and ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

Artificial intelligence is a rapidly improving technology. But its progress in drug development faces an increasingly urgent threat: An unending stream of overheated marketing. To read of AI’s feats ...

When Daniel Haders, Ph.D., was working in venture capital, he was on the hunt for an AI-driven drug discovery company that ...

University of Pennsylvania researchers have developed ApexGO, an AI system that refines imperfect antibiotic candidates ...

With faster and more affordable transcriptomic technologies, high-throughput RNA-seq can now be incorporated into oligo ...

Despite significant progress in medicinal chemistry and life sciences research, drug discovery and development remain slow and expensive, taking on average approximately 15 years and US$2 billion to ...

Artificial intelligence has already made its mark in commercial industries, and there's a good argument to be made that AI is ...

Jefferson Chair in Engineering and Computer Science at the University of Delaware, has been elected a 2025 Fellow of the ...