Cold Spring Harbor Laboratory quantitative biologists have developed an AI model to better predict interactions between immune cells and the peptides they target in T cell receptor therapy. Their work could lead to improved cancer treatments and help answer important questions about the immune system.

A new theory-guided framework could help scientists probe the properties of new semiconductors for next-generation microelectronic devices, or discover materials that boost the performance of quantum computers.

Mathematics may not be the first thing people associate with Alzheimer’s disease research. But for Pedro Maia, an assistant professor of mathematics and data science at The University of Texas at Arlington, analyzing how different parts of the brain interact like a network is revealing new insights into one of the world’s most devastating brain disorders.

A research team has developed an innovative remote sensing model that significantly improves the accuracy of monitoring nitrogen accumulation in wheat crops.

A research team pioneers an automated, high-throughput pipeline using open-source tools to quantify over 50 root traits in diverse maize genotypes, enabling researchers to investigate how genetics, hormones, and developmental stages influence root growth.