New computational tool predicts cell fates and genetic perturbations
The technique can help predict a cell’s path over time, such as what type of cell it will become.
Students dive into research with the MIT Climate and Sustainability Consortium
Through MIT’s Undergraduate Research Opportunities Program, students explore research topics relevant to their own interests, the MCSC, and member companies.
MIT experts test technical research for a hypothetical central bank digital currency
Collaboration with Federal Reserve Bank of Boston yields progress in understanding how a digital currency might be developed in the future.
Probing how proteins pair up inside cells
MIT biologists drilled down into how proteins recognize and bind to one another, informing drug treatments for cancer.
Engineers develop surgical “duct tape” as an alternative to sutures
The sticky patch could be quickly applied to repair gut leaks and tears.
New lightweight material is stronger than steel
The new substance is the result of a feat thought to be impossible: polymerizing a material in two dimensions.
The downside of machine learning in health care
Assistant Professor Marzyeh Ghassemi explores how hidden biases in medical data could compromise artificial intelligence approaches.
How Omicron escapes from antibodies
A computational study shows that dozens of mutations help the virus’ spike protein evade antibodies that target SARS-CoV-2.
Artificial intelligence system rapidly predicts how two proteins will attach
The machine-learning model could help scientists speed the development of new medicines.
Why are comet heads green — but not their tails?
An accidental discovery and a love of spectroscopic perturbations leads to the solution of a 90-year-old puzzle.
Making RNA vaccines easier to swallow
A pill that releases RNA in the stomach could offer a new way to administer vaccines, or to deliver therapies for gastrointestinal disease.
Invisible machine-readable labels that identify and track objects
An MIT team develops 3D-printed tags to classify and store data on physical objects.
Tiny materials lead to a big advance in quantum computing
Using ultrathin materials to reduce the size of superconducting qubits may pave the way for personal-sized quantum devices.
Where did that sound come from?
MIT neuroscientists have developed a computer model that can answer that question as well as the human brain.
Demystifying machine-learning systems
A new method automatically describes, in natural language, what the individual components of a neural network do.