Results 201 to 210 of about 164,058 (286)
Artificial Intelligence-Based Depression Detection. [PDF]
Kiss G, Viktor P.
europepmc +1 more source
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
Small molecule FTO inhibitor MO-I-500 protects differentiated SH-SY5Y neuronal cells from oxidative stress. [PDF]
Greco D +6 more
europepmc +1 more source
Permanently Unconscious Patients and The Ethical Controversies Surrounding Artificial Nutrition and Hydration: Getting the Facts Straight [PDF]
Lovat, Terence J., Mitchell, Kenneth R.
core +1 more source
The study presents a low‐cost, noninvasive system for real‐time neonatal respiratory monitoring. A flexible, screen‐printed sensor patch captures chest movements with high sensitivity and minimal drift. Combined with machine learning, the system accurately detects breathing patterns and offers a practical solution for neonatal care in low‐resource ...
Gitansh Verma +3 more
wiley +1 more source
Correction: Enhancing nursing documentation in Kazakhstan: assessing utilization and standardization for improving patient care. [PDF]
Sydykova B +7 more
europepmc +1 more source
A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung +3 more
wiley +1 more source
Microbial community structure and metabolic characteristics in sediments from five different deep-sea trenches. [PDF]
Xiao Y, Liu H, Wu Z, Li X, Jing H.
europepmc +1 more source
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan +3 more
wiley +1 more source
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source

