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Feasibility study of hyperspectral colposcopy as a novel tool for detecting precancerous cervical lesions.
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January 2025
Research Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Las Palmas de Gran Canaria, Spain.
Cervical cancer remains a major global health concern, with a specially alarming incidence in younger women. Traditional detection techniques such as the Pap smear and colposcopy often lack sensitivity and specificity and are highly dependent on the experience of the gynaecologist. In response, this study proposes the use of Hyperspectral Imaging, a pioneering technology that combines traditional imaging with spectroscopy to provide detailed spatial and spectral information.
View Article and Find Full Text PDFSusceptibility map-weighted MRI can distinguish tremor-dominant Parkinson's disease from essential tremor.
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Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
Distinguishing between Parkinson's disease (PD) and essential tremor (ET) can be challenging sometimes. Although positron emission tomography can confirm PD diagnosis, its application is limited by high cost and exposure to radioactive isotopes. Patients with PD exhibit loss of the dorsal nigral hyperintensity on brain magnetic resonance imaging (MRI).
View Article and Find Full Text PDFClinical manifestation and laboratory data of illicit drugs versus other substances intoxication in children.
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Golestan Research Center of Gastroentrology and Hepatology & Stem Cell Research Center, Golestan University of Medical Sciences, Gorgan, Iran.
Children are highly sensitive to toxins which can damage their organs and lead to death. Investigating the main causes of intoxication could reduce mortality and morbidity in children. In this cross-sectional study, the documents of all poisoned patients (214 cases) admitted to the emergency department of Taleghani children`s Hospital between April 2020 and 2023 were investigated.
View Article and Find Full Text PDFOpen challenges and opportunities in federated foundation models towards biomedical healthcare.
BioData Min
January 2025
School of Computer Science, Fudan University, Shanghai, China.
This survey explores the transformative impact of foundation models (FMs) in artificial intelligence, focusing on their integration with federated learning (FL) in biomedical research. Foundation models such as ChatGPT, LLaMa, and CLIP, which are trained on vast datasets through methods including unsupervised pretraining, self-supervised learning, instructed fine-tuning, and reinforcement learning from human feedback, represent significant advancements in machine learning. These models, with their ability to generate coherent text and realistic images, are crucial for biomedical applications that require processing diverse data forms such as clinical reports, diagnostic images, and multimodal patient interactions.
View Article and Find Full Text PDFBackground: Overexpression of tear matrix metalloproteinases-9 (MMP-9) on the ocular surface tissues has been reported to result in ocular surface damage. MMP-9 levels in tears have been listed as one of many tools for confirming dry eye disease (DED).
Objective: This investigation aimed to compare MMP-9 levels and ocular surface parameters in diabetic patients with and without DED.
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