Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
Accelerating drug discovery through Open Access protein-ligand co-folding
Knowing how a protein interacts with a molecule is crucial for drug discovery. Umol, an open-source co-folding method, predicts protein-ligand structures using deep learning, outperforming similar tools and aiding research and drug development.
Association of sleep fragmentation with general and abdominal obesity: a population-based longitudinal study
Fragmented sleep is independently associated with an increased risk of both general and abdominal obesity among Chinese young adults.
Deep learning-based microsatellite instability predictor from prostate cancer whole-slide images
Researchers developed a deep learning predictor of MSI in prostate cancer using a large, real-world cohort of H&E whole slide images. The screening algorithm may be used to rapidly prioritize patients for confirmatory testing, which can identify MSI-high patients who may qualify for immunotherapy.
The UK Clinical Eye Research Strategy Unveils New Priorities
The UK Clinical Eye Research Strategy has embarked on a transformative journey to update and refine research priorities in ophthalmology. We delve into the key findings and implications of this groundbreaking initiative, aimed at reshaping the landscape of eye research in the United Kingdom.
The Role of Smartwatch Data in Monitoring Non-Motor Symptoms of Parkinson’s Disease
Accurate and continuous monitoring of symptoms can enable better care and timely intervention. Wearables could facilitate this but are underexplored for monitoring of non-motor symptoms.
