Insights into the Association Between Sleep and Mortality Revealed by Self-supervised Learning of Wrist-worn Accelerometer Data In modern society, sleep is an essential basic activity for life, and its importance is self-evident. Accurately measuring and classifying sleep/wake states and different sleep stages is crucial for diagnosing sleep disord...

Development and Validation of Large-Scale Machine Learning Algorithms for Cardiovascular Diagnosis Based on Electrocardiograms Introduction Cardiovascular diseases (CV) have long been a major source of global disease burden. Early diagnosis and intervention are crucial for reducing complications, healthcare utilization, and associated costs. Tradit...

MRI-Guided Staged Bilateral Focused Ultrasound Subthalamotomy for Parkinson’s Disease Background Parkinson’s Disease (PD) is a common neurodegenerative disorder, characterized mainly by motor symptoms such as tremor, rigidity, and bradykinesia. Traditionally, treatments for PD include medication and surgical interventions such as Deep Brain Stimula...

Physical Immunoevasion: Attenuated Mechanical Communication Facilitates Metastatic Colorectal Cancer Cells to Evade Macrophage Attack Background Introduction Cancer metastasis is a complex and daunting challenge, with metastatic cancer cells capable of evading immune cell attacks, breaching the extracellular matrix (ECM), and migrating to other sit...

The Gating Role of Cortical Transfer of Socially Derived Information in Emotion Recognition Background Introduction Emotion recognition and the subsequent responses are crucial for survival and maintaining social functions. However, how social information is processed to reliably recognize emotions remains unclear. In this new study, the authors re...