Australian researchers, led by Monash University, have invented a new artificial intelligence (AI) tool which is poised to reshape virtual screening in early stage drug discovery and enhance ...

In drug discovery, virtual screening is a fast and cost-effective way of narrowing down vast chemical libraries to identify the most promising hits, reducing synthesis and testing requirements while ...

Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers from the University of Eastern Finland teamed ...

Scientists using machine learning tools to analyze biomedical data often turn to neural network algorithms, but before these models became popular, another simpler type of machine learning algorithm ...

Chinese researchers have developed an artificial intelligence-powered virtual drug screening platform that achieves a millionfold increase in screening speeds and a significant improvement in ...

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 ...

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

The failure of many potential candidates during clinical trials significantly impacts the cost of drug development. Computational drug design has the means to lower these costs by allowing not only ...

From idea, to lab, to clinic, to approval—it's a long and expensive process to bring a drug to market. It also rarely succeeds. Subscribe to our newsletter for the latest sci-tech news updates.

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