Study explains how a rare gene variant contributes to Alzheimer’s disease
Lipid metabolism and cell membrane function can be disrupted in the neurons of people who carry rare variants of ABCA7.
Lipid metabolism and cell membrane function can be disrupted in the neurons of people who carry rare variants of ABCA7.
The findings may redefine how cell identity is established and enable the creation of more sophisticated engineered tissues.
Outfitted with antibodies that guide them to the tumor site, the new nanoparticles could reduce the side effects of treatment.
Study of 3.5 million cells from more than 100 human brains finds Alzheimer’s progression — and resilience to disease — depends on preserving epigenomic stability.
Super-cooling radioactive atoms could produce a laser-like neutrino beam, offering a new way to study these ghostly particles — and possibly a new form of communication.
Astronomers led by EAPS postdoc Ana Glidden ruled out several atmospheric scenarios for the planet, narrowing ideas of what habitability there might look like.
An international collaboration of neuroscientists, including MIT Professor Ila Fiete, developed a brain-wide map of decision-making at cellular resolution in mice.
MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results with less plastic.
System developed at MIT could provide realistic predictions for a wide variety of reactions, while maintaining real-world physical constraints.
Artificially created data offer benefits from cost savings to privacy preservation, but their limitations require careful planning and evaluation, Kalyan Veeramachaneni says.
New findings could help manufacturers design gels, lotions, or even paving materials that last longer and perform more predictably.
A commitment from longtime supporters Patricia and James Poitras ’63 initiates multidisciplinary efforts to understand and treat complex psychiatric disorders.
The sPHENIX detector is on track to reveal properties of primordial quark-gluon plasma.
VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.
MIT researchers designed an electrolyte that can break apart at the end of a battery’s life, allowing for easier recycling of components.