Thought LeadersMaxwell Sherman Graduate Student and PhD Candidate Massachusetts Institute of Technology: MIT In this interview, News-Medical speaks to Maxwell Sherman, an MIT graduate student and one ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

CAMBRIDGE, MA -- Cancer cells can have thousands of mutations in their DNA. However, only a handful of those actually drive the progression of cancer; the rest are just along for the ride.

Researchers have developed a computer model to scan the entire genome of cancer cells to identify driver mutations, which could help researchers find novel drug targets. Cancer is only driven by some ...

Researchers working on an incurable blood cancer can now use a new lab model that could make testing potential new treatments and diagnostics easier and quicker, new research has found. Working with ...

Researchers have developed the first mouse model for a mitochondrial tRNALeu mutation, showing that the associated metabolic disorder results from faulty RNA processing. Studying the role of ...

In a recent study posted to the bioRxiv * preprint server, researchers used a convolutional neural network (CNN) regression model (CNN_seq) to investigate the effect of mutations on the binding ...

Researchers have created an artificial intelligence model that can identify which mutations in human proteins are most likely to cause disease, even when those mutations have never been seen before in ...

Genetic editing is an invaluable tool in biomedical research. Scientists have been able to engineer the genomes of a variety of animals, including fruit flies, zebrafish, and mice, to model diseases ...

Scientists built a computer model that can rapidly scan the entire genome of cancer cells and identify mutations that occur more frequently than expected, suggesting that they are driving tumor growth ...