AIMC Topic: Machine Learning

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Identifying ovarian cancer with machine learning DNA methylation pattern analysis.

Scientific reports Jul 1, 2025
The majority of patients with epithelial ovarian cancer (EOC) continue to be diagnosed at an advanced stage despite great advances in this disease treatment. To impact overall survival, we need better methods of EOC early diagnosis. We performed a ca...
Female Case-Control Studies Aged DNA Methylation Middle Aged Humans Ovarian Neoplasms Machine Learning Carcinoma, Ovarian Epithelial
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Artificial intelligence-driven label-free detection of chronic myeloid leukemia cells using ghost cytometry.

Scientific reports Jul 1, 2025
Early diagnosis and treatment initiation of chronic myeloid leukemia (CML) are considered to increase the rate of deep molecular response. However, the early diagnosis of CML is challenging due to the absence of clinical symptoms and peripheral blood...
Algorithms Female Male Leukemia, Myelogenous, Chronic, BCR-ABL Positive Artificial Intelligence Humans Flow Cytometry Machine Learning Protein Kinase Inhibitors Fusion Proteins, bcr-abl
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Comprehensive datasets for RNA design, machine learning, and beyond.

Scientific reports Jul 1, 2025
RNA molecules are essential in regulating biological processes such as gene expression, cellular differentiation, and development. Accurately predicting RNA secondary structures and designing sequences that fold into specific configurations remain si...
Nucleic Acid Conformation Computational Biology RNA Machine Learning Algorithms
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Predicting PLGA nanoparticle size and zeta potential in synthesis for application of drug delivery via machine learning analysis.

Scientific reports Jul 1, 2025
This study employed multiple machine learning (ML) methods to model and predict key attributes of PLGA nanoparticles, specifically particle size and zeta potential. The predictions were based on input variables, including PLGA polymer type, PLGA conc...
Nanoparticles Particle Size Polylactic Acid-Polyglycolic Acid Copolymer Machine Learning Drug Delivery Systems
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Potential use of saliva infrared spectra and machine learning for a minimally invasive screening test for congenital syphilis in infants.

Scientific reports Jul 1, 2025
Congenital syphilis is a global public health issue, and its diagnostic complexity poses a challenge to early treatment. Fourier Transform Infrared Spectroscopy (FTIR) is a promising technological tool that facilitates the detection and diagnosis of ...
Humans Machine Learning Spectroscopy, Fourier Transform Infrared Syphilis, Congenital Female Sensitivity and Specificity Infant, Newborn Male Principal Component Analysis Infant Saliva
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Design of Block-Scrambling-Based privacy protection mechanism in healthcare using fusion of transfer learning models with Hippopotamus optimization algorithm.

Scientific reports Jul 1, 2025
In the human body, the skin is the main organ. Nearly 30-70% of individuals globally have skin-related health issues, for whom efficient and effective analysis is essential. A general method dermatologists use for analyzing skin illnesses is dermosco...
Dermoscopy Diagnosis, Computer-Assisted Computer Security Algorithms Skin Neoplasms Humans Machine Learning
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Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modeling.

Scientific reports Jul 1, 2025
Sepsis is a life-threatening condition that presents substantial challenges to healthcare and pharmacological management due to its high mortality rates and complex patient responses. Accurately predicting patient outcomes is essential for optimizing...
Sepsis Survival Analysis Proportional Hazards Models Male Middle Aged Humans Machine Learning Prognosis Female Aged
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Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach.

Scientific reports Jul 1, 2025
Schizophrenia is a persistent and serious mental illness that leads to distortions in cognition, perception, emotions, speech, self-awareness, and actions. Affecting about 1% of people worldwide, schizophrenia usually emerges in late adolescence or e...
Female Adult Male Humans Machine Learning Brain Deep Learning Electroencephalography Signal Processing, Computer-Assisted Schizophrenia
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Identification and verification of immune and oxidative stress-related diagnostic indicators for malignant lung nodules through WGCNA and machine learning.

Scientific reports Jul 1, 2025
Early detection of lung nodules (LNs) is critical for prevention and treatment of lung cancer. However, current noninvasive diagnostic methods face significant challenges in reliably distinguishing benign from malignant nodules. Thus, there is an urg...
Gene Expression Regulation, Neoplastic Machine Learning Databases, Genetic Biomarkers, Tumor Gene Expression Profiling Gene Regulatory Networks Oxidative Stress Lung Neoplasms Humans Protein Interaction Maps
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Comparative analysis of machine learning approaches for heatwave event prediction in India.

Scientific reports Jul 1, 2025
Heatwaves, are identified as prolonged durations of unusually high temperatures, which pose significant threats to human health, animal health and agriculture. With the increasing frequency and intensity of heatwaves driven by climate change, accurat...
Humans Support Vector Machine Climate Change Extreme Heat Neural Networks, Computer Machine Learning India
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