When bacteria cells replicate, they do so a little differently than human cells do. They don't undergo mitosis, a splitting that involves construction of spindles to carefully separate the DNA after ...

Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their importance, these images often remain difficult to analyze systematically and to ...

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

Men and partners are important contributors to the health of future generations, yet their own preconception health and wellbeing remain secondary considerations in research, practice, and policy.

Learn about comparative gene expression studies in Alzheimer's disease and other conditions in Mayo Clinic's Precision Medicine in Neurodegeneration Lab.

The arterial vasculature is the second most frequently calcified structure in the human body after the skeleton. Calcification of the aorta and aortic valves occurs in most individuals in westernized ...

Abstract: MicroRNAs (miRNAs) serve as crucial biomarkers in disease diagnosis. Although silicon-based electronic machine learning models provide efficient means for analyzing the massive data ...

Abstract: Normal reinforcement learning (RL) methods for entry guidance face challenges in environmental design and generalization due to the uncertainty of geographic constraint types and ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

The Evo2 genomic language model can generate short genome sequences, but scientists say further advances are needed to write genomes that will work inside living cells. Now, researchers have used ...

In this work, the authors present DeepTX, a computational tool for studying transcriptional bursting using single-cell RNA sequencing (scRNA-seq) data and deep learning. The method aims to infer ...