Peptides designed by artificial intelligence restrict both drug-resistant bacteria and rapidly evolving viruses.

Traditional methods for identifying therapeutic gene targets, crucial for personalized medicine, are expensive and ...

Artificial intelligence and machine learning are no longer abstract concepts confined to academic discussions but stand at ...

Identifying therapeutic gene targets is essential for advancing personalized medicine and addressing the genetic basis of ...

Another company involved in using AI to repurpose failed drugs – as well as drugs that have already been approved – is ...

Major depressive disorder (MDD) is a serious mental health condition that impacts individuals of all ages, including children ...

One of the biggest hurdles in Medicare fraud detection is the extreme class imbalance, where fraudulent claims represent less than 1% of the total data. Traditional machine learning models tend to be ...

In the present data-focused world, organizations often find it hard to deal with dispersed information, isolated systems, and reactive Information Technology (IT) management. The traditional ways of ...

The field of cancer treatment has long struggled with the immense costs and time-consuming nature of drug development.

With clinical trials results trickling in, “antiaging” drugs that clear away senescent cells are proving to be promising — ...