Glymphatic SystemEvidence & Dosage
The brain's overnight detox — beta-amyloid clearance.
Evidence at a glance
- Total studies
- 1,000
- With abstract
- 18
- Meta / Systematic / RCT
- 18
- Highly cited
- 0
- Publication years
- 2025–2026
Glymphatic System in the context of Sleep
This topic is part of our "Sleep" world. There you'll find methodology, evidence and the highest-impact levers — plus the order in which they sensibly build on each other.
Go to SleepTop studies on Glymphatic System
Ranked by influential-citation count and publication year.
EasyVis2: a real-time multi-view 3D visualization system for laparoscopic surgery training enhanced by a deep neural network YOLOv8-pose.
Updates in surgery2026Minimally invasive laparoscopic surgery often suffers from limited depth perception and constrained visual fields. To address these limitations, we introduce EasyVis2, an enhanced hands-free, real-time 3D visualization system based on the…
Real‑World Clinical Characterization of Major Depressive Disorder and Treatment‑Resistant Depression Supported by Natural Language Processing: Multicenter Observational Study From the MOOD Project.
Interactive journal of medical research2026n=1,147EMajor depressive disorder (MDD) and treatment-resistant depression (TRD) are heterogeneous conditions in which key clinical details are split across structured fields and free-text notes in electronic health records (EHRs), constraining…
Usability Evaluation of CROSS Software for Adult Patients Triage.
Computers, informatics, nursing : CIN2026EThis study aimed to develop and assess the usability of the Online Risk Classification Software for Health Systems (CROSS) for adult patient triage. This is a technological development study using a prototyping approach, carried out…
Design and feasibility implementation of an interactive learning room for children with down syndrome to promote inclusive educational access in Indonesia.
Disability and rehabilitation. Assistive technology2026n=10<h4>Objective</h4>This study aims to design and evaluate the feasibility of an interactive multisensory learning room to support engagement and school readiness among children with Down syndrome (DS) and autism spectrum disorder (ASD) in…
A hybrid BiLSTM and rule-based system for integrated diabetes prediction and personalized guidance.
PloS one2026Diabetes is a common chronic disease that needs early diagnosis and proper management to avoid severe complications. While current Artificial Intelligence (AI) tools generate predictive information, they often lack an integrated element…
Potential for distinguishing the parkinsonian subtype of multiple system atrophy from Parkinson's disease: a three-dimensional gait analysis study.
Frontiers in aging neuroscience2026Objective Distinguishing the parkinsonian subtype of multiple system atrophy (MSA-P) from Parkinson’s disease (PD) at an early stage was a challenge, and gait analysis based on wearable sensors offers a reliable method to quantify gait…
Improving self-care behaviors in patients with chronic obstructive pulmonary disease using a knowledge-based intelligent self-care system: protocol for a randomized controlled trial.
Journal of thoracic disease2026n=104<h4>Background</h4>Chronic obstructive pulmonary disease (COPD) imposes a substantial public health burden worldwide. Current COPD self-care management is largely nurse-led and often limited in accessibility and scalability. Artificial…
Deep learning-based real-time intraoperative detection of thoracic duct.
Journal of thoracic disease2026<h4>Background</h4>The thoracic duct (TD) is fragile in esophageal cancer surgery, and its injury may cause deadly chylothorax. Its identification is critical to prevent chylothorax and ensure patient safety. Deep learning-based image…
User experience and real-world implementation of a peer-integrated digital health intervention for substance use disorder.
Research square2026n=75Digital health interventions (DHIs) are a promising tool for supporting recovery from substance use disorder (SUD), yet implementation in vulnerable populations remains a concern. We conducted a 30-day observational study of Realize,…
LC-Pred: A Transformer-Based Interactive Interface for Liver Cirrhosis Prediction.
International journal of hepatology2026Objectives Incorporating transformer, an innovative deep learning–based model with an authenticated and user‐friendly client‐server web application namely LC‐Pred, this study highlights the early prediction of liver cirrhosis (LC), which…
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