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Using machine learning to predict high-impact research
Read more: Using machine learning to predict high-impact researchImage: courtesy of the researchers DELPHI, an artificial intelligence framework, can give an "early-alert" signal for future key technologies by learning from patterns gleaned from previous scientific publications. An artificial intelligence framework built by MIT researchers can give an “early-alert” signal for future high-impact technologies, by learning from patterns gleaned from previous scientific publications. In…
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Seeking the cellular mechanisms of disease, with help from machine learning
Read more: Seeking the cellular mechanisms of disease, with help from machine learningCaroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness Image: Adam Glanzman Caroline Uhler’s research blends machine learning and statistics with biology to better understand gene regulation, health, and disease. Despite this lofty mission, Uhler remains dedicated to her original career passion: teaching. “The students at MIT…
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Method offers inexpensive imaging at the scale of virus particles
Read more: Method offers inexpensive imaging at the scale of virus particlesImage: 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 accuracy at the scale of 10 nanometers — which should enable them to image viruses and potentially even single biomolecules, the researchers say. The new technique builds…
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