On March 10 the FDA approved Trofinetide, a drug based on the protein IGF-1. The MIT professor's original research showing that IGF-1 could treat Rett was published in 2009.

MIT engineers find specialized nanoparticles can quickly and inexpensively isolate proteins from a bioreactor.

MIT Open Learning team awarded NIH grant to provide training in biomedical product development, entrepreneurship, and innovation.

An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.

A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.

A new artificial intelligence technique only proposes candidate molecules that can actually be produced in a lab.

Researchers create a mathematical framework to examine the genome and detect signatures of natural selection, deciphering the evolutionary past and future of non-coding DNA.

A new strategy for producing a natural compound could also be used to generate variants with even stronger antimicrobial activity.

Study results also show that pancreatic tumor cells can be forced into a more susceptible state by changing their environment.

A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.