News & Events

News

Seeking the cellular mechanisms of disease, with help from machine learning

Posted
April 6, 2021

 

Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness

Image: Adam Glanzman

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News

Method offers inexpensive imaging at the scale of virus particles

Posted
March 29, 2021

  

Image: Ella Maru Studio, Credit: Ruixuan Guo and Boyden Lab

Using an ordinary light microscope, MIT engineers have devised a technique for imaging biological samples with...

News

Imaging method reveals a "symphony of cellular activities"

Posted
November 23, 2020

 

Fluorescent imaging technique simultaneously captures different signal types from multiple locations in a live cell.

    

 

Within a single cell, thousands of molecules, such as proteins, ions, and other signaling molecules, work together to perform all kinds of functions...

News

Machine learning uncovers potential new TB drugs

Posted
October 15, 2020

Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.

Machine learning is a computational tool used by many biologists to analyze huge amounts of data, helping them to identify potential new drugs. MIT researchers have now incorporated a new feature into these types of machine-learning algorithms, improving their prediction-making ability.

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