MIT researchers develop an AI model that can detect future lung cancer risk
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
MLK Visiting Professor tries to “maximize connection time” while studying protein evolution.
A new optogenetics-based tool allows researchers to control how neurons respond to electrical input.
The MIT senior will pursue postgraduate studies in computer science in Ireland.
Researchers harness new pooled, image-based screening method to probe the functions of over 5,000 essential genes in human cells.
Seven professors join the departments of Biology; Chemistry; Earth, Atmospheric and Planetary Sciences; Mathematics; and Physics.
Awards support high-risk, high-impact research from early-career investigators.
A new study maps the genes and cellular pathways that contribute to exercise-induced weight loss.
Prokaryotes can detect hallmark viral proteins and trigger cell death through a process seen across all domains of life.
The findings of a large-scale screen could help researchers design nanoparticles that target specific types of cancer.
Alex Shalek’s technologies for single-cell RNA profiling can help dissect the cellular bases of complex diseases around the globe.
Award provides five years of funding and access to a community of innovative scholars and leaders in science and technology.
The five-year collaboration aims to accelerate the translation of breakthrough engineering and biology for human health.
Innovative brain-wide mapping study shows that an “engram,” the ensemble of neurons encoding a memory, is widely distributed and includes regions not previously realized.
Postdoc Digbijay Mahat became a cancer researcher to improve health care in Nepal, but the Covid-19 pandemic exposed additional resource disparities.