Quantum modeling for breakthroughs in materials science and sustainable energy
Quantum chemist and School of Science Dean’s Postdoctoral Fellow Ernest Opoku is working on computational methods to study how electrons behave.
Quantum chemist and School of Science Dean’s Postdoctoral Fellow Ernest Opoku is working on computational methods to study how electrons behave.
Cultured from induced pluripotent stem cells, “miBrains” integrate all major brain cell types and model brain structures, cellular interactions, activity, and pathological features.
The Rare Brain Disorders Nexus aims to accelerate the development of novel therapies for a spectrum of uncommon brain diseases.
MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.
A new study finds over half the drugs approved this century cite government-funded research in their patents.
Advance from SMART will help to better identify disease markers and develop targeted therapies and personalized treatment for diseases such as cancer and antibiotic-resistant infection.
A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.
MIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.
ChemXploreML makes advanced chemical predictions easier and faster — without requiring deep programming skills.
The molecules trigger a built-in cellular stress response and show promise as broad-spectrum antivirals against Zika, herpes, RSV, and more.
A new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.
Enhancing activity of a specific component of neurons’ “NMDA” receptors normalized protein synthesis, neural activity, and seizure susceptibility in the hippocampus of fragile X lab mice.
Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.
Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.
Junior Katie Spivakovsky describes her path through New Engineering Education Transformation to biomedical research and beyond.