Researchers from the Belgian Federal Institute Sciensano, as part of the DARWIN project, have developed a proof-of-concept ...

whose genetic risks don't actually fit into such neat, binary categories. "Our study shows that machine learning-based ...

Gene therapy could potentially cure genetic diseases, but it remains a challenge to package and deliver new genes to specific cells safely and effectively. Existing methods of engineering one of ...

In their study, authors developed a machine learning algorithm—known as PAMmla—that can predict the properties of about 64 million genome editing enzymes.

In their study, authors developed a machine learning algorithm-known as PAMmla-that can predict the properties of about 64 million genome editing enzymes.

Contrary to expectations, a recent study found that deep-learning-based foundation models do not outperform simple baseline methods in predicting how genetic perturbations—alterations in gene ...

A new study in the peer-reviewed journal Human Gene Therapy describes a machine learning (ML) model that can be used as a surrogate for laborious in vitro experiments. This in silico approach aims ...

Kazemian’s research combines advanced computational and experimental approaches to study gene regulation, infectious diseases and cancer biology, with notable contributions to understanding ...