Starfish embryos swim in formation like a “living crystal”
Their swirling, clustering behavior might someday inform the design of self-assembling robotic swarms.
Their swirling, clustering behavior might someday inform the design of self-assembling robotic swarms.
Insight into the way the EGF receptor sends signals into cells could help researchers design new cancer drugs that target this protein.
Researchers reveal how an algae-eating bacterium solves an environmental engineering challenge.
An anomaly-detection model developed by SMART utilizes machine learning to quickly detect microbial contamination.
Jonathan Weissman and collaborators used their single-cell sequencing tool Perturb-seq on every expressed gene in the human genome, linking each to its job in the cell.
Rapid and accurate analytical test method enhances the production of high-quality cell therapy products.
MIT neuroscientists expand CRISPR toolkit with new, compact Cas7-11 enzyme.
Researchers show they can control the properties of lab-grown plant material, which could enable the production of wood products with little waste.
MIT cell biologist and computational neuroscientist recognized for their innovative research contributions.
Cells may use this strategy to clear out toxic byproducts and give their offspring a clean slate.
Family trees of lung cancer cells reveal how cancer evolves from its earliest stages to an aggressive form capable of spreading throughout the body.
The technique can help predict a cell’s path over time, such as what type of cell it will become.
MIT biologists drilled down into how proteins recognize and bind to one another, informing drug treatments for cancer.
The findings could inform the design of new materials such as iridescent windows or waterproof textiles.
Senior Desmond Edwards has an insatiable curiosity about how the human body works — and how diseases stop it from working.