An artificial intelligence model predicts how brain immune cells react to RNA and DNA nanoparticles, helping scientists design safer and more effective nucleic acid therapies faster.

The company says the system can benefit pharmaceutical and biotech firms seeking rapid feedback on drug candidates or genome editing.

A research team has uncovered how peanuts develop their remarkable underground pods by constructing the first single-cell ...

Titled “A comparison of integration methods for single‐cell RNA sequencing data and ATAC sequencing data”, this paper ...

As we enter entrepreneurship month this November, we’re celebrating the professors and alumni who are fueling job creation ...

For numerous individuals with schizophrenia, living with the condition involves challenges, not only related to ...

Clonal hematopoiesis of indeterminate potential (CHIP) is a known risk factor for coronary artery disease, though its precise role in disease progression continues to emerge. This study leverages ...

This important study examines the potential role of ARHGAP36 transcriptional regulation by FOXC1 in controlling sonic hedgehog signaling in human neuroblastoma. While there are many solid findings ...

Microcephaly is a congenital malformation that leads to a significantly reduced brain size and is often accompanied by developmental delay. An international research team led by Dr. Tran Tuoc from the ...

The federal government has been—and must remain—a critical partner in foundational technological innovation and research ...