Researchers developed and validated the GRAD model using Alzheimer’s blood biomarker data. In people with uncertain p-Tau217 ...
Analysis of 1,364 cancer patients identified gut microbiome patterns associated with early-onset breast and colorectal ...
This article explores how the AI-powered platforms PLATO and PhaseHub predict protein phase separation across species, ...
One-quarter of these facilities operate where water demand can exceed supply, and climate change could increase that to ...
Researchers analyzed 19 studies involving nearly 16 million people. ADHD was associated with higher all-cause, suicide, ...
Explore how NAMs, biomarker-driven obesity research, and pathogen-agnostic preparedness are helping laboratories generate ...
Researchers studied the DREAM complex in Arabidopsis thaliana and found it activated genes required for meiotic crossover ...
Emerging approaches can help detect off-target effects in base editing. In silico, in vitro, and cell-based methods can all ...
By combining gene expression and chromatin accessibility data from more than one million brain cell nuclei, researchers have ...
An AI model analyzes routine CT scans to identify hidden signs of disease and future health risks. The tool detected conditions including kidney disease, atrial fibrillation, and cancer-related ...
In this interview, Prof. Samuel Sternberg discusses how studies of CRISPR-Cas systems led to the discovery of RNA-guided DNA ...
Researchers studied human neurons and mouse models to investigate TDP-43 clearance in ALS. They found that interferon-beta signaling activated immunoproteasomes, which degraded TDP-43, revealing a ...
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