Results 181 to 190 of about 18,370 (323)

Design Optimization of Soft Fabric Pneumatic Actuators

Advanced Intelligent Systems, EarlyView.
This study presents a systematic optimization framework for elongating and bending fabric‐based soft pneumatic actuators. After a preliminary design‐space reduction, the framework minimizes energy consumption under mechanical performance constraints by integrating validated finite element modeling with statistical surrogate models. Optimal designs were
Grigorios M. Chatziathanasiou, Konstantina Tsintzira, Panagiotis Polygerinos   +2 more
wiley   +1 more source

Privacy-preserving AUC computation in distributed machine learning with PHT-meDIC. [PDF]

PLOS Digit Health
de Arruda Botelho M, Ata Baykara C, Burak Ünal A, Pfeifer N, Akgün M.   +4 more
europepmc   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Dynamic consent framework for low-dose CT scan lung cancer screening: autonomy, privacy, ethical data management. [PDF]

Front Digit Health
Lin JC, Hsiao WW, Hu JW, Fan CT.
europepmc   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

A Comprehensive 19F NMR Framework for Fragment‐Based Drug Discovery: The Validated Screening Library OpenFL600 and Efficient Affinity Ranking by CSAR

Angewandte Chemie, EarlyView.
NMR screening is a powerful method for hit detection in drug‐discovery. We designed and validated the OpenFL600 19F$^{19}{\rm F}$ NMR library to probe diverse targets, including RNA, GPCRs, kinases, and proteases. This library yields target‐specific ligands without generating promiscuous binders.
Simon H. Rüdisser, Gabriela Stadler, Giacomo Padroni, Daria Barbash, Marco M. Ruckstuhl, Nils Lorz, Christina Jordan, Sarah Skibinski, Timo T. Stühlinger, Sarah E. Kratzwald, Katharina M. Siess, Sven Brüschweiler, Gerald Platzer, Antoine Cléry, Robert Konrat, Frédéric H.‐.T. Allain, Alvar D. Gossert   +16 more
wiley   +2 more sources

SENSH: a blockchain-based searchable encrypted data sharing scheme in smart healthcare. [PDF]

PeerJ Comput Sci
Luo S, Tan L, Hu T, Hu M.
europepmc   +1 more source

Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI

AI &Innovation, EarlyView.
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley   +1 more source

Advanced security in fog environments using encryption and adaptive user activity tracking. [PDF]

Sci Rep
Rai HM, Razaque A, Agarwal N, Agarwal S, Abdallah HA, Kant S.   +5 more
europepmc   +1 more source

Clinical, Behavioral and Neuroradiological Phenotype in an Italian Cohort of Patients With Xia Gibbs Syndrome: A Multicenter Cross‐Sectional Study and Systematic Literature Review

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Heterozygous variants in the AHDC1 gene are associated with Xia Gibbs Syndrome (XGS), a genetic disorder with a highly variable phenotype. Cognitive impairment, motor delay, language delay, neonatal hypotonia, and sleep apnea are considered “cardinal” signs of the disease.
Giulia Cinelli, Stefania Della Vecchia, Patrizia Bergonzini, Elisa Caramaschi, Elisabetta Spezia, Claudia Parenti, Simona Filomena Madeo, Laura Lucaccioni, Cavalleri Francesca, Marisa Pugliese, Federico Raviglione, Clara Colonna, Olga Calabrese, Ilaria Stanghellini, Maria Carmen Marongiu, Enrico Biagioni, Anna Rita Ferrari, Roberta Battini, Lorenzo Iughetti   +18 more
wiley   +1 more source