AIMC Topic: Machine Learning

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Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment.

Scientific reports Jul 18, 2025
DNA metabolism genes play pivotal roles in the regulation of cellular processes that contribute to cancer progression, immune modulation, and therapeutic response in prostate cancer (PC). Understanding the mechanisms by which these genes influence th...
Gene Expression Profiling Transcriptome Gene Expression Regulation, Neoplastic DNA Prostatic Neoplasms Tumor Microenvironment Humans Biomarkers, Tumor Machine Learning Male Prognosis
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Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite.

Scientific reports Jul 18, 2025
This research proposes a machine learning controlled method for removing the antibiotic oxytetracycline (OTC) from liquids through the use of nanostructured cupric oxide (CuO) nanoparticles. These nanoparticles are attached to magnetic chitosan/algin...
Chitosan Copper Nanostructures Anti-Bacterial Agents Alginates Machine Learning Adsorption Oxytetracycline
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Determination of lung cancer exhaled breath biomarkers using machine learning-a new analysis framework.

Scientific reports Jul 18, 2025
Exhaled breath samples of lung cancer patients (LC), tuberculosis (TB) patients and asymptomatic controls (C) were analyzed using gas chromatography-mass spectrometry (GC-MS). Ten volatile organic compounds (VOCs) were identified as possible biomarke...
Breath Tests Exhalation Lung Neoplasms Gas Chromatography-Mass Spectrometry Volatile Organic Compounds Male Middle Aged Female Case-Control Studies Aged Humans Machine Learning Adult Biomarkers, Tumor
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Machine learning for the prediction of augmented renal clearance (ARC) in patients with sepsis in critical care units.

Scientific reports Jul 18, 2025
This study aims to establish and validate prediction models based on novel machine learning (ML) algorithms for augmented renal clearance (ARC) in critically ill patients with sepsis. Patients with sepsis were extracted from the Medical Information M...
Humans Creatinine Female Middle Aged Critical Illness Machine Learning Aged Sepsis Intensive Care Units Algorithms Male Kidney
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Machine learning technology in the classification of glaucoma severity using fundus photographs.

Scientific reports Jul 18, 2025
This study evaluates the performance of a machine learning model in classifying glaucoma severity using color fundus photographs. Glaucoma severity grading was based on the Hodapp-Parrish-Anderson (HPA) criteria incorporating the mean deviation value...
Fundus Oculi Humans Female Photography Neural Networks, Computer Glaucoma Aged Male Machine Learning Middle Aged Severity of Illness Index
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A comprehensive explainable AI approach for enhancing transparency and interpretability in stroke prediction.

Scientific reports Jul 18, 2025
Stroke is among the leading causes of death, especially among old adults. Thus, the mortality rate and severe cerebral disability can be avoided when stroke is diagnosed at its early stages, followed by subsequent treatment. There is no doubt that he...
Artificial Intelligence Machine Learning Stroke Humans
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An in silico to in vivo approach identifies retinoid-X receptor activating tert-butylphenols used in food contact materials.

Scientific reports Jul 18, 2025
The potential for food contact chemicals to disrupt genetic programs in development and metabolism raises concerns. Nuclear receptors (NRs) control many of these programs, and the retinoid-X receptor (RXR) is a DNA-binding partner for one-third of th...
Phenols Models, Molecular Xenopus laevis Animals Protein Binding Signal Transduction Retinoid X Receptors Receptors, Thyroid Hormone Humans Machine Learning Computer Simulation
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Automated seafood freshness detection and preservation analysis using machine learning and paper-based pH sensors.

Scientific reports Jul 18, 2025
Seafood, including fish, prawns and various marine products, is a critical component of global nutrition due to its high protein content, essential fatty acids, vitamins and minerals. Traditional methods for assessing seafood freshness such as sensor...
Animals Food Packaging Paper Hydrogen-Ion Concentration Machine Learning Food Storage Food Quality Fishes Seafood Food Preservation
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High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing.

Scientific reports Jul 18, 2025
Caenorhabditis elegans is a widely used animal model for researching new disease treatments. In recent years, automated methods have been developed to extract mobility phenotypes and analyse, using statistical methods, whether there are differences b...
Machine Learning Animals Drug Repositioning Caenorhabditis elegans Neural Networks, Computer High-Throughput Screening Assays Behavior, Animal
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Raised Leptin and Pappalysin2 cell-free RNAs are the hallmarks of pregnancies complicated by preeclampsia with fetal growth restriction.

Nature communications Jul 18, 2025
Preeclampsia (PE) and fetal growth restriction (FGR) complicate 5-10% of pregnancies and are major causes of maternal and fetal morbidity and mortality. Here we demonstrate that measuring circulating cell-free RNAs (cfRNAs) from maternal plasma can a...
Humans Female Adult Case-Control Studies Leptin Pre-Eclampsia Machine Learning ROC Curve Fetal Growth Retardation Biomarkers Cell-Free Nucleic Acids Pregnancy-Associated Plasma Protein-A Pregnancy Proteoglycans
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