Machine learning
A new study published in Diagnostic and Interventional Radiology has demonstrated the effectiveness of machine learning algorithms in distinguishing between clinically significant and insignificant prostate cancer using radiomics features derived from bi-parametric magnetic resonance imaging (MRI). The researchers from Kars Harakani State Hospital in Turkey collected MRI images of patients
Machine learning
Researchers at the Amirkabir University of Technology have developed a comprehensive method for detecting olive oil adulteration using laser-induced fluorescence (LIF) spectroscopy. The study, published in the Journal of Food Composition and Analysis, presents a novel cross-validation strategy to assess the generalizability of the models to various detection angles. The
Machine learning
Researchers from the National Center for Scientific Research (CNRS) have made a groundbreaking discovery in the field of engineering, developing a predictive model to increase news media popularity among readers. The study, published in IEEE Access, demonstrated that news media should disseminate its own content and publish it first before
Machine learning
A new study published in the Journal of Food Science explores the connections between dietary omega-3 intake and aging biomarkers in older adults. Using machine learning and Mendelian randomization analyses, researchers constructed clinical prediction models to examine the associations between omega-3 intake and aging biomarkers, such as DNA methylation age,
Machine learning
Researchers have made significant breakthroughs in understanding Alzheimer's disease (AD) through the development of PRISM-ML, an open-source integrated analysis pipeline. By combining interpretable machine learning with systems biology and electronic health record data mining, the study has shed light on the molecular diversity of AD and identified promising
Machine learning
Researchers at Jiangxi Agricultural University have used machine learning algorithms to simulate soil organic matter (SOM) in agricultural soils, a critical parameter in soil nutrient cycling, aggregate stability, and water retention. The study, supported by the National Key Research & Development Program of China, explored the effectiveness of different machine
Machine learning
Research conducted at Hunan University of Information Technology in China reveals that artificial intelligence (AI) is revolutionizing educational technology by providing tailored learning experiences through machine learning algorithms and natural language processing. According to the study, "Artificial intelligence (AI) is transforming educational technology by enabling personalized, adaptive, and data-driven
Machine learning
Scientists have long been baffled by the protein folding problem, trying to understand how evolution chose the precise combinations of amino acids that result in stable proteins. Now, researchers at the Wellcome Sanger Institute and Centre for Genomic Regulation (CRG) have made a groundbreaking discovery that sheds new light on
Machine learning
Researchers from the Department of Biomedical Engineering in Chennai, India, have developed a novel method for predicting athletic performance, specifically fatigue, pain, and stamina, based on thermal facial biomarkers and optimized machine learning algorithms. The proposed Electrochemical Optimal Classification- Maximum Soft Margin Support Vector Machine (ECOC-MCSVM) method has shown an
Machine learning
Gabriel Huang and his husband, Pang-Ying Peng, were drawn to Canada by the country's reputation for embracing diversity and innovation, particularly in the field of artificial intelligence. Huang, a PhD candidate from France, was mentored by world-renowned computer scientist Yoshua Bengio, while Peng, a diplomat from Taiwan, fell
Machine learning
Researchers at King Abdulaziz University in Saudi Arabia have made significant breakthroughs in utilizing machine learning algorithms to predict groundwater quality indices for irrigation in arid environments. By developing Irrigation Water Quality Indices (IWQIs) and employing machine learning models, the study aimed to provide a sustainable approach to groundwater management.
Machine learning
Researchers from Instituto de Investigacao e Inovacao em Saude (i3S) have developed a machine learning algorithm to improve mutation modelling in forensic genetics. The study analyzed father-son segregation data for 28 Y-chromosomal short tandem repeats (Y-STRs) and found that logistic regression analyses could estimate marker-specific mutation rates depending on paternal
