New method combines imaging and sequencing to study gene function in intact tissue
The approach collects multiple types of imaging and sequencing data from the same cells, leading to new insights into mouse liver biology.
The approach collects multiple types of imaging and sequencing data from the same cells, leading to new insights into mouse liver biology.
FutureHouse, co-founded by Sam Rodriques PhD ’19, has developed AI agents to automate key steps on the path toward scientific progress.
The MIT-MGB Seed Program, launched with support from Analog Devices Inc., will fund joint research projects that advance technology and clinical research.
MIT CSAIL researchers combined GenAI and a physics simulation engine to refine robot designs. The result: a machine that out-jumped a robot designed by humans.
Rising seniors Avani Ahuja, Julianna Lian, Jacqueline Prawira, and Alex Tang are honored for their academic achievements.
Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.
Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.
Research shows these channels allow seawater and nutrients to flow in and out, helping to maintain reef health over millions of years.
Watery fluid between cells plays a major role, offering new insights into how organs and tissues adapt to aging, diabetes, cancer, and more.
Working with the Massachusetts Department of Transportation, researchers show bridge corrosion can be repaired on-site using additive manufacturing.
Modern-day analogs in Antarctica reveal ponds teeming with life similar to early multicellular organisms.
By delivering an HIV vaccine candidate along with two adjuvants, researchers showed they could generate many more HIV-targeting B cells in mice.
The low-cost, scalable technology can seamlessly integrate high-speed gallium nitride transistors onto a standard silicon chip.
In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
Researchers designed a tiny receiver chip that is more resilient to interference, which could enable smaller 5G “internet of things” devices with longer battery lives.