Speeding up drug discovery with diffusion generative models
MIT researchers built DiffDock, a model that may one day be able to find new drugs faster than traditional methods and reduce the potential for adverse side effects.
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A shot in the arm
Researchers develop new, patient-friendly hydrogel platform for administering lifesaving biologics.
Bacterial injection system delivers proteins in mice and human cells
With further development, the programmable system could be used in a range of applications including gene and cancer therapies.
Fieldwork class examines signs of climate change in Hawaii
MIT students research effects of climate change on forests and sulfur dioxide emissions as a model for planet-wide events.
How cell mechanics influences everything
Ming Guo seeks connections between a cell’s physical form and its biological function, which could illuminate ways to halt abnormal cell growth.
A novel combination therapy for treating vancomycin-resistant bacterial infections
Developed at SMART, the therapy stimulates the host immune system to more effectively clear bacterial infections and accelerate infected wound healing.
Coding for health equity
Senior Mercy Oladipo is building tools to address disparities in health care.
QS World University Rankings rates MIT No. 1 in 11 subjects for 2023
The Institute also ranks second in five subject areas.
Minds wide open
Alan Lightman’s new book asks how a sense of transcendence can exist in brains made of atoms, molecules, and neurons.
Exploring the nanoworld of biogenic gems
Project will develop new materials characterization tools and technologies to assign unique identifiers to individual pearls.
A new control switch could make RNA therapies easier to program
Using this approach, researchers hope to deliver therapeutic RNA molecules selectively to cancer cells or other target cells.
Python-based compiler achieves orders-of-magnitude speedups
Codon compiles Python code to run more efficiently and effectively while allowing for customization and adaptation to various domains.
New method accelerates data retrieval in huge databases
Researchers used machine learning to build faster and more efficient hash functions, which are a key component of databases.
2023 MacVicar Faculty Fellows named
Professors Gabrieli, Gubar, Martin, and Sass are honored for exceptional undergraduate teaching.
Creating a versatile vaccine to take on Covid-19 in its many guises
Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.