Dr. Pushkar Lele received a National Institute of General Medical Sciences research grant to investigate how bacteria sense their mechanical environment. 

Researchers at Tulane University have identified a potential new way to treat idiopathic pulmonary fibrosis (IPF), a deadly and currently incurable lung disease that affects more than 3 million people worldwide.

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions—but there is always room for improvement. A new paper by investigators from Mass General Brigham published in Nature showcases the power of scalable protein engineering combined with machine learning to boost progress in the field of gene and cell therapy. In their study, authors developed a machine learning algorithm—known as PAMmla—that can predict the properties of about 64 million genome editing enzymes. The work could help reduce off-target effects and improve editing safety, enhance editing efficiency, and enable researchers to predict customized enzymes for new therapeutic targets.  Their results are published in Nature.

Findings included elevated risks for chronic organ disease among children, and revealed some racial differences in long COVID risks