Results 201 to 210 of about 107,337 (260)

SmartDetectAI: An AI‐Powered Web App for Real‐Time Colorimetric Detection of Heavy Metals in Water

Advanced Intelligent Systems, EarlyView.
SmartDetectAI integrates silver nanoparticle‐based colorimetric sensing with an AI‐powered web app for rapid, on‐site detection of toxic heavy metals in water. By combining aggregation‐driven optical changes with machine learning analysis of red ‐ green ‐ blue values, the platform achieves portable, low‐cost, and accurate monitoring of Hg‐ and Cd‐based
Nishat Tasnim, Mirza M. A. Tunur, Fahad Arefin, Shahad Saroar, Md. Wahadoszamen, Taslim Ur Rashid, Aminul I. Talukder, Md. Nurul Amin, Mahmudur Rahman, Ahsan Habib   +9 more
wiley   +1 more source

Using Smartphone Sensors for Ataxia Trials: Consensus Guidance by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers. [PDF]

Cerebellum
Németh AH, Antoniades CA, Dukart J, Minnerop M, Rentz C, Schuman BJ, van de Warrenburg B, Willemse I, Bertini E, Gupta AS, de Mello Monteiro CB, Almoajil H, Quinn L, Perlman SB, Horak F, Ilg W, Traschütz A, Vogel AP, Dawes H, AGI Digital-Motor Biomarkers Working Group.   +19 more
europepmc   +1 more source

Machine Learning‐Augmented Loop‐Mediated Isothermal Amplification‐Enabled Point‐of‐Care for Mpox‐Specific Detection

Advanced Intelligent Systems, EarlyView.
A low‐cost, portable point‐of‐care platform for rapid Mpox detection using loop‐mediated isothermal amplification is reported. The device integrates fluorescence readout and mobile monitoring. A machine‐learning model analyzes temperature data and correlates thermal changes with DNA concentration, enabling sensitive and reliable molecular diagnosis in ...
Nazente Atceken, Ahmed Choukri Abdullah, Olgac Ozarslan, Ziya Yıldız, Savas Tasoglu   +4 more
wiley   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
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, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

Inferring transportation mode from smartphone sensors: Evaluating the potential of Wi-Fi and Bluetooth. [PDF]

PLoS One, 2020
Bjerre-Nielsen A, Minor K, Sapieżyński P, Lehmann S, Lassen DD.   +4 more
europepmc   +1 more source

Sense and the city: Making the Gold Coast an intelligent and sustainable city [PDF]

, 2013
Bajracharya, Bhishna, Cattell, David, Khanjanasthiti, Isara, McPhee, Daryl Peter, Too, Linda   +4 more
core  

Parents' WhatsApp coping resources in the context of ongoing political conflicts: An ecological exploration

American Journal of Community Psychology, EarlyView.
Abstract Mobile technologies have become significant resources for crisis communication and social support in recent years. However, despite empirical evidence pointing to the centrality of these technologies for parenthood in everyday life, it is yet unknown how parents' coping resources play a role in the digital environment.
Daphna Yeshua‐Katz, Stav Shapira, Orna Braun‐Lewensohn   +2 more
wiley   +1 more source

Behavior Decoding Delineates Seizure Microfeatures and Associated Sudden Death Risks in Mouse Models of Epilepsy

Annals of Neurology, EarlyView.
Objective Behavior and motor manifestations are distinctive yet often overlooked features of epileptic seizures. Seizures can result in transient disruptions in motor control, often organized into specific behavioral sequences that can inform seizure types, onset zones, and outcomes.
Yuyan Shen, Jaden Thomas, Xianhui Chen, Jaden Zelidon, Mariam Najeeb, Abigayle Hahn, Ping Zhang, Aaron Sathyanesan, Bin Gu   +8 more
wiley   +1 more source

Speech Biomarkers From Smartphone Calls Track Progression in REM Sleep Behavior Disorder and Parkinson's Disease

Annals of Neurology, EarlyView.
Objective This 24‐month longitudinal study involving isolated rapid eye movement sleep behavior disorder (iRBD), early‐stage Parkinson's disease (PD), and matched healthy control subjects aimed to assess whether acoustic speech features from real‐world smartphone calls provide passive progressive biomarkers in synucleinopathies.
Michal Šimek, Tereza Tykalová, Michal Novotný, Vojtěch Illner, Tomáš Kouba, Martin Šubert, Pavel Sovka, Jan Švihlík, Evžen Růžička, Karel Šonka, Petr Dušek, Jan Rusz   +11 more
wiley   +1 more source