Results 251 to 260 of about 513,529 (353)

Exploring primary health care nurses' perceptions of cervical cancer screening in Leribe, Lesotho. [PDF]

Afr J Prim Health Care Fam Med
Polane MG, Dlamini SB.
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Preferences Among U.S. Women for Cervical Cancer Screening with Self-Collected Specimens for Human Papillomavirus Testing. [PDF]

Obstet Gynecol
Qin J, Martinez G, Holt HK, Gopalani SV, Trivers KF, Miller JW, Senkomago V, Sawaya GF.   +7 more
europepmc   +1 more source

Integrating Cervical Cancer Screening Into Safer Conception Services to Improve Women's Health Outcomes: A Pilot Study at a Primary Care Clinic in South Africa

, 2018
Natasha Davies, Matthew Chersich, Saiqa Mullick, Nicolette Naidoo, Nokuthula Makhoba, Helen Rees, Sheree Schwartz   +6 more
openalex   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Edge Information‐Augmented Auxiliary Diagnosis Method for Cervical Cancer in Medical Decision‐Making Systems

Advanced Intelligent Systems, EarlyView.
To address the problems of insufficient utilization of multiscale features and inefficient feature sharing between tasks in the model, this study proposes an edge‐enhanced intelligent cervical cancer screening method that achieves feature reuse and improves efficiency by jointly optimizing nucleolus segmentation and lesion classification.
Li Wen, Xiaoqing Zhang, Tingyi Dai, Fangfang Gou, Jia Wu   +4 more
wiley   +1 more source

Cervical cancer screening policies and implementation in Uganda - a qualitative study on policymakers', cervical cancer experts' and gynecologists' perspectives. [PDF]

Arch Public Health
De Paepe E, Nanyonjo G, Vermandere H, Ssetaala A, Degomme O.   +4 more
europepmc   +1 more source

Mepylome: A Point‐of‐Care Tumor Diagnostic Toolkit for Tumor DNA Methylation and Copy Number Analysis

Advanced Intelligent Systems, EarlyView.
DNA methylation and chromosomal copy number profiling have recently become essential for tumor diagnostics. The open‐source tool Mepylome enables this task in clinical routine. It combines several machine learning strategies and allows users to interactively examine respective data through an intuitive graphical interface. Running up to 65 times faster
Jon Brugger, Claus Hultschig, Daniel Baumhoer, Baptiste Ameline, Benjamin Maciej Freyter, Stephan Frank, Jürgen Hench   +6 more
wiley   +1 more source

Evaluation of an intelligent digital platform for population management in cervical cancer screening. [PDF]

Cancer Biol Med
Jia X, Gao C, Da X, Shi J, Chen M, Duan R, Li Z, Feng R, Yang Y, Zhai J, Ding H, Ng A, Qiao Y.   +12 more
europepmc   +1 more source