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Artificial intelligence-based framework for early detection of heart disease using enhanced multilayer perceptron.
Front Artif Intell
January 2025
Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia.
Cardiac disease refers to diseases that affect the heart such as coronary artery diseases, arrhythmia and heart defects and is amongst the most difficult health conditions known to humanity. According to the WHO, heart disease is the foremost cause of mortality worldwide, causing an estimated 17.8 million deaths every year it consumes a significant amount of time as well as effort to figure out what is causing this, especially for medical specialists and doctors.
View Article and Find Full Text PDFEnhancing prostate cancer segmentation in bpMRI: Integrating zonal awareness into attention-guided U-Net.
Digit Health
January 2025
Department of Urology, General Hospital of Northern Theater Command, Shenyang, China.
Purpose: Prostate cancer (PCa) is the second most common cancer in males worldwide, requiring improvements in diagnostic imaging to identify and treat it at an early stage. Bi-parametric magnetic resonance imaging (bpMRI) is recognized as an essential diagnostic technique for PCa, providing shorter acquisition times and cost-effectiveness. Nevertheless, accurate diagnosis using bpMRI images is difficult due to the inconspicuous and diverse characteristics of malignant tumors and the intricate structure of the prostate gland.
View Article and Find Full Text PDFMultifaceted Analysis of Lactobacillus plantarum DMR14 Reveals Promising Antidiabetic Properties Through In Vivo Assays and Molecular Simulations.
J Cell Mol Med
January 2025
Microbiology Laboratory, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, Bangladesh.
Due to the growing concern about diabetes worldwide, we investigated the antidiabetic potential of Lactobacillus plantarum DMR14, assessing its effects on the diabetic mice and identifying safe, bioactive compounds targeting DPP4 protein for drug development through various methods, including in vivo assays, GC-MS analysis and molecular docking simulations. The animal experiments showed that after 3 weeks of treatment, the blood sugar levels of mice given the bacteria were reduced by 35.03% compared to baseline.
View Article and Find Full Text PDFRADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer's disease.
Alzheimers Res Ther
January 2025
Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, leading to cognitive and functional decline. Early detection and intervention are crucial for enhancing the quality of life of patients and their families. Remote Monitoring Technologies (RMTs) offer a promising solution for early detection by tracking changes in behavioral and cognitive functions, such as memory, language, and problem-solving skills.
View Article and Find Full Text PDFCausal Inference for Hypertension Prediction With Wearable E lectrocardiogram and P hotoplethysmogram Signals: Feasibility Study.
JMIR Cardio
January 2025
School of Life Science and Technology, University of Electronic Science and Technology of China, Research Building C348A, 3rd Fl, Chengdu, 611731, China, 86 18030493605.
Background: Hypertension is a leading cause of cardiovascular disease and premature death worldwide, and it puts a heavy burden on the healthcare system. Therefore, it is very important to detect and evaluate hypertension and related cardiovascular events to enable early prevention, detection, and management. Hypertension can be detected in a timely manner with cardiac signals, such as through an electrocardiogram (ECG) and photoplethysmogram (PPG) , which can be observed via wearable sensors.
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