Automated system identifies dense tissue, a risk factor for breast cancer, in mammograms
Deep-learning model has been used successfully on patients, may lead to more consistent screening procedures.
This RNA-based technique could make gene therapy more effective
Biological engineers design RNA circuits that enable precise control over the dose of therapeutic protein a patient receives.
Collaboration runs through J-WAFS-funded projects
Researchers from across MIT showcase J-WAFS-funded projects tackling critical water and food systems challenges from solutions-oriented perspectives.
Computer model offers more control over protein design
New approach generates a wider variety of protein sequences optimized to bind to drug targets.
Technique quickly identifies extreme event statistics
Machine-learning model provides risk assessment for complex nonlinear systems, including boats and offshore platforms.
In pursuit of the elusive stem cell
New MIT initiative delves into the biology of stem cells and cancer stem cells, seeks ways to identify, purify, and propagate them.
MIT reshapes itself to shape the future
Gift of $350 million establishes the MIT Stephen A. Schwarzman College of Computing, an unprecedented, $1 billion commitment to world-changing breakthroughs and their ethical application.
Charting the Earth’s future for the 21st century
MIT report highlights challenges and opportunities for conserving natural resources and stabilizing the climate.
Progress against pancreatic cancer
Lustgarten Foundation names MIT laboratory to improve understanding and treatment of a deadly disease
Researchers quickly harvest 2-D materials, bringing them closer to commercialization
Efficient method for making single-atom-thick, wafer-scale materials opens up opportunities in flexible electronics.
Powered by idealism and pragmatism
Matt Ellis PhD ’17 and Sam Shaner SM ’14, PhD ’18 launch a startup to develop an advanced nuclear reactor design.