Results 201 to 210 of about 97,372 (256)

Research on a rapid and accurate diagnosis platform for liver fibrosis based on machine learning-assisted SERS technology. [PDF]

Biomed Opt Express
Dai C, Bi C, Huang Y, Feng X.
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Listeria Genome Identification Using DNABERT Embedding With LightGBM and SHAP-Based Explainable Classification. [PDF]

Bioinform Biol Insights
Arumugam SR, P AJ, Karuppasamy SG, Murugan VS, Mbasso WF, Harrison A.   +5 more
europepmc   +1 more source

OXidative Stress PREDictor: A Supervised Learning Approach for Annotating Cellular Oxidative Stress States in Inflammatory Cells

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley   +1 more source

CT-based radiomics combined with deep learning for predicting radiation pneumonitis in patients with esophageal cancer: a two-center study. [PDF]

Front Oncol
Yang J, Zhang Y, Zhang Y, Li Z, Ke X, Li Q, Wu J, Li C, Zhang L.   +8 more
europepmc   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source

Governing Patient-Facing AI-Generated Video in Digital Health: A Risk-and-Ethics Matrix for Deployment, Monitoring, and Change Control. [PDF]

J Med Internet Res
Hu Y, Jiang W.
europepmc   +1 more source

Robust benchmarking of DeepLabv3 hybrid models for multiclass fundus screening and referable-disease triage on the FIVES dataset. [PDF]

Front Med (Lausanne)
Garcia-Atutxa I, Martinez-Baliu L, Villanueva-Flores F.   +2 more
europepmc   +1 more source

AI-Based Intraoral Videography for Automated Dental Inspection and Charting in Children With Mixed Dentition. [PDF]

Int J Telemed Appl
Abu Talib M, Moufti MA, Alrachid R, Abu Waraga O, Aldhafairi L, Alfahad S, Alhaddabi A.   +6 more
europepmc   +1 more source

Comparative deep learning approaches for bean leaf disease recognition. [PDF]

Front Plant Sci
Anirudh K, Srujan D, Sai A, O V GS.
europepmc   +1 more source