Results 81 to 90 of about 15,044 (262)

Fuzzy C-Means Clustering: A Review of Applications in Breast Cancer Detection. [PDF]

open access: yesEntropy (Basel), 2023
Krasnov D   +5 more
europepmc   +1 more source

Single‐Cell and Spatial Transcriptomics Unveil Key Regulators Governing Cell Differentiation for Schistosoma japonicum Sexual Development

open access: yesAdvanced Science, EarlyView.
Using single‐cell and spatial transcriptomics, we identified key regulators that govern cell differentiation involved in parasite development and egg laying in Schistosoma japonicum. This comprehensive study establishes a foundational resource for understanding schistosome biology, deciphers the regulatory programs underlying cell differentiation and ...
Zhigang Lu   +9 more
wiley   +1 more source

Biomimetic Nanoplatform for Dual Target Nano‐Metabolic Therapy in Diabetes‐Associated Biofilm Infections

open access: yesAdvanced Science, EarlyView.
A biomimetic GOx/Arg‐loaded nanoplatform produces nitric oxide through an in situ catalytic cascade reaction, enabling dual‐target metabolic regulation in diabetes‐associated biofilm infections. Bacterial metabolism is disrupted, and macrophage immunometabolism is reprogrammed, resulting in biofilm eradication, immune restoration, and enhanced ...
Mingzhang Li   +13 more
wiley   +1 more source

Incremental Beta Distribution Weighted Fuzzy C-Ordered Means Clustering

open access: yesInformation
Streaming data is becoming more and more common in the field of big data and incremental frameworks can address its complexity. The BDFCOM algorithm achieves good results on common form datasets by introducing the ordering mechanism of beta distribution ...
Hengda Wang   +3 more
doaj   +1 more source

Clusters of medical specialties around patients with multimorbidity - employing fuzzy c-means clustering to explore multidisciplinary collaboration. [PDF]

open access: yesBMC Health Serv Res, 2023
Verhoeff M   +8 more
europepmc   +1 more source

Multiscale Spatial Fusion Feature‐Driven Characterization of Gastric Cancer Invasive Margins: A Multicenter Cohort Study for Preoperative Accurate Differentiation Between T4a and T4b Subtypes

open access: yesAdvanced Science, EarlyView.
This study develops a multi‐dimensional vision Transformer‐based model, GAVR, to accurately distinguish gastric cancer T4a/b stages preoperatively. Validated across multi‐center cohorts, it achieves excellent performance and significantly improves radiologists’ diagnostic accuracy, offering a promising tool for clinical decision‐making.
Guoliang Zheng   +20 more
wiley   +1 more source

Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning

open access: yesAdvanced Science, EarlyView.
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley   +1 more source

Systemic Nanomechanical Single‐Cell Profiling Reveals Mechanophenotype Transitions Under Therapeutic Perturbation

open access: yesAdvanced Science, EarlyView.
Single‐cell mechanomics demonstrates that pharmacological perturbation changes cytoskeletal and cortical structure, suppressing cancer cell invasiveness. By integrating atomic force microscopy (AFM)‐based cortical measurements with stimulated emission depletion (STED)‐resolved adhesion and cytoskeletal organization, this approach identifies nanoscale ...
Minhee Ku   +4 more
wiley   +1 more source

Comparison of K-Means and Fuzzy C-Means for Regional Clustering Based on Unmet Need Determinants in East Java

open access: yesJournal of Applied Informatics and Computing
Unmet need for family planning (KB) refers to a condition in which fertile couples wish to delay or stop pregnancy but are not using any contraceptive methods.
Arina Nihayata Husna   +1 more
doaj   +1 more source

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