“Scientific American” showcases the history and future of America’s scientific engine, highlighting promising young scientists and icons at MIT and beyond.
By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.
Professor James Collins discusses how collaboration has been central to his research into combining computational predictions with new experimental platforms.
New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.
Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.
A new approach for testing multiple treatment combinations at once could help scientists develop drugs for cancer or genetic disorders.
CellLENS reveals hidden patterns in cell behavior within tissues, offering deeper insights into cell heterogeneity — vital for advancing cancer immunotherapy.
Researchers redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
