Results 71 to 80 of about 4,847 (258)

Prediction of Acute Liver Injury Trajectory in Patients Following Acetaminophen Overdose: A Multibiomarker Machine Learning Proof‐of‐Concept Study

Clinical Pharmacology &Therapeutics, EarlyView.
Clinical translation of novel therapies can be hindered by heterogeneity‐driven sample size inflation in late‐stage trials. In acetaminophen‐induced liver injury (APAP DILI), many patients recover spontaneously, diluting investigational drug efficacy signals.
Chris Humphries, Alastair M. Kilpatrick, Kathleen M. Scullion, Rhona Aird, Lorraine Bruce, Maria Elena Candela, Tak Yung Man, Stuart J. Forbes, James W. Dear   +8 more
wiley   +1 more source

A Hubness Information-Based k-Nearest Neighbor Approach for Multi-Label Learning

Mathematics
Multi-label classification (MLC) plays a crucial role in various real-world scenarios. Prediction with nearest neighbors has achieved competitive performance in MLC. Hubness, a phenomenon in which a few points appear in the k-nearest neighbor (kNN) lists
Zeyu Teng, Shanshan Tang, Min Huang, Xingwei Wang   +3 more
doaj   +1 more source

Toward a Paradigm Shift in Low‐Temperature SCR Catalyst Design: Defect Engineering and Data‐Driven Integration

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This work systematically reviews the key factors influencing the performance of low‐temperature NH3‐SCR. The mechanism and challenges of defect engineering strategies, such as oxygen vacancies, heteroatom doping, crystal facet exposure, and surface reconstruction, in controlling both activity and selectivity were analyzed.
Rongrong Kan, Pinjing He, Fan Lü, Hua Zhang   +3 more
wiley   +1 more source

Effect of epileptogenesis on hypercapnic cardioventilatory response in kainic acid rats

Epilepsia, EarlyView.
Abstract Objective Cardioventilatory failure is the leading mechanism proposed to underlie sudden unexpected death in epilepsy (SUDEP), which occurs predominantly at night in patients with generalized tonic–clonic seizures. Interictal hypercapnic cardioventilatory responses are suggested to be involved, as they are ablated in chronically epileptic ...
Auriane Apaire, Elise Collard, Abigail Niyibizi, Natasha N. Kumar, Enrique Germany Morrison, Javier Chavez Cerda, Ayse S. Dereli, Riem El Tahry   +7 more
wiley   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

SMPKR: Search Engine for Internet of Things

IEEE Access, 2019
The Internet of Things (IoT) has become the infrastructure to widely support ubiquitous applications. Due to the highly dynamic context setting, IoT search engines have attracted increasing attention from both industrial and academic field to crawl and ...
Jine Tang, Zhangbing Zhou, Lei Shu, Gerhard Hancke   +3 more
doaj   +1 more source

Piezoelectric Materials in Medical Ultrasound: A Comprehensive Review From Fundamentals to Translational Prospects

Information &Functional Materials, EarlyView.
Piezoelectric materials are reviewed as active platforms for medical ultrasound, bridging electromechanical fundamentals, transducer architectures, and biomedical applications. Material–device co‐design is emphasized as the key to high‐performance diagnosis, therapy, monitoring, wearable ultrasound, and emerging ultrasound‐responsive functions ...
Jianan Li, Qing Wan
wiley   +1 more source

Artificial intelligence driven diet‐intestinal microbiota‐host health integration: A four‐dimensional paradigm for advancing host wellness research

iMetaOmics, EarlyView.
This graphical abstract presents a novel Diet‐Artificial Intelligence (AI)‐intestinal Microbiota–Host Health paradigm integrating microbiota‐centric pathways and an AI‐driven multi‐omics workflow. Diet shapes gut bacteria that regulate intestinal mucosal integrity, immune signaling, and gut–brain neurotransmitters to influence host health.
Tianle He, Shuobo Zhang, Jiaxin Chen, Xiaoling Zheng, Jixin Zhao, Huifeng Li, Jiani Mao, Ju Luo, Jundan Zheng, Dengjun Ma, Lihong Wang, Junhui Liu, Wen Tian, Shuangming Yang, Chengli Liu, Ke Tian, Zhenguo Yang   +16 more
wiley   +1 more source

PVkNN: A Publicly Verifiable and Privacy-Preserving Exact kNN Query Scheme for Cloud-Based Location Services

Modelling
The k-nearest- neighbor (kNN) algorithm is crucial in data mining and machine learning, yet its deployment on large-scale datasets within cloud environments presents significant security and efficiency challenges. This paper is dedicated to advancing the
Jingyi Li, Yuqi Song, Chengliang Tian, Weizhong Tian   +3 more
doaj   +1 more source

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source