Results 261 to 270 of about 3,073,213 (316)

La protection des données à caractère personnel en droit européen:= data protection in European law

, 2017
Herveg, Jean, Van Gyseghem, Jean-Marc; id_orcid 0009-0006-9121-7337   +1 more
openalex   +1 more source

Clinlabomics‐Enabled Blending Ensemble Learning for Low‐Cost Pan‐Cancer Detection and Classification Using Routine Clinical Laboratory Data

Advanced Intelligent Systems, EarlyView.
Researchers develop clinlabomics assisted for cancer identification, an artificial intelligence‐powered system using routine clinical lab data to detect and identify 10 cancer types. Tested on 19 199 individuals, it achieves 90.39% sensitivity and 82.41% specificity in cancer detection, with 72.57% accuracy in identifying specific cancer types ...
Bowen Zhang, Lin Li, Long Cheng, Yujie Liu, Zhaoqing Liu, Jiangpeng Wu, Pengyi Zhang, Jiarui Wang, Dekui Zhang, Shuyan Li   +9 more
wiley   +1 more source

Socioeconomic factors in relation to dental caries among children aged 5-14 years: a cross-national comparative study using secondary data analyses. [PDF]

BMC Oral Health
Yang YA, Huang YH, Weng YH, Chiu YW.
europepmc   +1 more source

A sunny spell at the Pension Fund [PDF]

, 2006
Association du personnel
core  

Wearable Metamaterials with Embodied Intelligence for Programmable Control of Human Limbs Tremor

Advanced Intelligent Systems, EarlyView.
Resulting from alternating muscle contractions, tremors can severely limit human ability to perform everyday tasks like walking or talking, due to their disruptive nature. Medication and surgery may not always effectively address tremor control. A wearable device embodying programmable smart metamaterials with adaptable intelligence to meet the demand ...
Braion Barbosa de Moura, Marcela R. Machado, Tanmoy Mukhopadhyay   +2 more
wiley   +1 more source

Assessing knowledge and counselling practices of medical personnel about surgical site infection prevention in Sudan. [PDF]

J Health Popul Nutr
Murtada TS, Suliman YM, Abdelgadir HS, Awadelkarim SY, ShamsEldin HE, Abdelhadi ETA, Magbol M, Yousif AH, Ibrahim SB, Awad KM, Mohamed HE, Osman AA, Elzain AA, Abdelgadir HS, Ali AE, Ali AM, Ahmed OT, Alssiddig RM, Alla MJK, Mahmoud MA, Hassan AA, Idris MA.   +21 more
europepmc   +1 more source

DePerio: Deep Learning‐Based Oral Inflammatory Load Quantification for Periodontal Applications

Advanced Intelligent Systems, EarlyView.
a) Inflammation and oral polymorphonuclear neutrophil (oPMN) Migration: Dental plaque accumulation leads to inflammation, prompting white blood cells (WBCs), particularly oPMNs, to migrate from blood vessels through the gingival epithelium into the oral cavity.
Fatemeh Soheili, Negin Masoudifar, Shahin Ebrahimi, Navid Mohaghegh, Mahdi S. M. H. Daneshvar, Mahdi Amrollahi Biouki, Yasaman Tahernezhad, Chunxiang Sun, Michael Glogauer, Ebrahim Ghafar‐Zadeh   +9 more
wiley   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
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, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

Deployed in Disaster: Perspectives of Personnel Deployed in Ontario Long-Term Care During the Pandemic. [PDF]

Int Nurs Rev
Oldenburger D, Baumann A, Crea-Arsenio M, Deber R, Baba V.   +4 more
europepmc   +1 more source

Neonatal Respiration Monitoring System with Synchronized Oxygen Supply and Machine Learning‐Based Breathing Classification

Advanced Intelligent Systems, EarlyView.
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, Eugen Koch, Andreas Dietzel, Shrutidhara Sarma   +3 more
wiley   +1 more source