Results 221 to 230 of about 176,660 (282)

Predicting intracranial pressure monitor placement in children with traumatic brain injury: a prospective cohort study to develop a clinical decision support tool. [PDF]

J Am Med Inform Assoc
Russell S, DeWitt PE, Helmkamp L, Colborn K, Gray C, Rebull M, Sierra YL, Greer R, Petruccelli L, Shankman S, Hankinson TC, Xing F, Albers DJ, Bennett TD.   +13 more
europepmc   +1 more source

Emerging Machine Learning Strategies for Digital Processing and Additive Manufacturing of Advanced Ceramics

International Journal of Applied Ceramic Technology, Volume 23, Issue 3, June 2026.
ABSTRACT Machine learning (ML) techniques are increasingly being applied to the development and processing of advanced ceramics, enabling predictive design, formulation optimization, and improved control of manufacturing workflows. This review presents an integrated and application‐oriented analysis of ML approaches in ceramic engineering, with ...
Sioney Teixeira Monteiro, Isaac A. T. Monteiro, J. R. Fernandez‐Gamboa, Yurimiler Leyet Ruiz   +3 more
wiley   +1 more source

Intelligent decision-making systems for early detection of alzheimer's disease using wearable technologies and deep learning. [PDF]

Sci Rep
Sathish R, Muthukumar R, Kumaran KM, Murugan SP.   +3 more
europepmc   +1 more source

Hematopathology Practice in the Digital Era: What has Changed?

International Journal of Laboratory Hematology, Volume 48, Issue 3, Page 503-511, June 2026.
ABSTRACT Hematopathology workflows are complex, since they include numerous data points necessary for guiding further testing, diagnosis, and patient management. The workflows start with complete blood cell counts, with subsequent morphologic evaluation of peripheral blood (PB) and bone marrow (BM).
Olga Pozdnyakova
wiley   +1 more source

Using a dynamic arithmetic optimization approach to improve ridgelet neural network performance in remote sensing scene classification. [PDF]

Sci Rep
Zhang H, Chen J, Xie H, Bagi K.
europepmc   +1 more source

Improving Basin‐Wide Flood Estimation From a Global Hydrological Model Through Spatiotemporal‐Pattern‐Based Machine Learning

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT When estimating future flood events using a global hydrological model (GHM), the large uncertainties associated with general circulation models (GCMs) and bias in the GHM model pose significant challenges. In the meantime, most future flood estimations are conducted only at specific gauge stations due to limited data availability and are ...
Jiaqing Wang, Quan J. Wang, Jianshi Zhao
wiley   +1 more source

Predicting the frequency of positive laboratory submissions for porcine reproductive and respiratory syndrome in Ontario, Canada, using autoregressive integrated moving average, exponential smoothing, random forest, and recurrent neural network. [PDF]

PLoS One
Petukhova T, Spinato M, Rossi T, Guerin MT, Bauman CA, Nelson-Smikle P, Ojkic D, Poljak Z.   +7 more
europepmc   +1 more source

Artificial Intelligence Powers Protein Functional Annotation

Advanced Science, Volume 13, Issue 26, 8 May 2026.
This review systematically summarizes how artificial intelligence advances protein functional annotation. It organizes existing methods into six unified modeling paradigms and analyzes their applications in Gene Ontology and Enzyme Commission prediction.
Wenkang Wang, Qiurong Yang, Min Zeng, Ruiqing Zheng, Min Li   +4 more
wiley   +1 more source

Optimal cluster-based energy efficient routing scheme for QoS aware IoT-enabled wireless body area network. [PDF]

Sci Rep
Irine Shyja V, Ranganathan G, Chandrakanth P, Sindhu Priya G, Gebreyohannes DT.   +4 more
europepmc   +1 more source

Organic Thin‐Film Transistors for Neuromorphic Computing

Advanced Electronic Materials, Volume 12, Issue 9, 11 May 2026.
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy, Mohan V. Jacob, Mostafa Rahimi Azghadi   +2 more
wiley   +1 more source