AIMC Topic: Machine Learning

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Skin cancer segmentation and classification by implementing a hybrid FrCN-(U-NeT) technique with machine learning.

PloS one Jun 2, 2025
Skin cancer is a severe and rapidly advancing condition that can be impacted by multiple factors, including alcohol and tobacco use, allergies, infections, physical activity, exposure to UV light, viral infections, and the effects of climate change. ...
Skin Neoplasms Image Processing, Computer-Assisted Humans Machine Learning Neural Networks, Computer Algorithms Melanoma
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Multi-view clustering via global-view graph learning.

PloS one Jun 2, 2025
Multiview clustering aims to improve clustering performance by exploring multiple representations of data and has become an important research direction. Meanwhile, graph-based methods have been extensively studied and have shown promising performanc...
Cluster Analysis Humans Machine Learning Algorithms
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Utility of artificial intelligence-based conversation voice analysis for detecting cognitive decline.

PloS one Jun 2, 2025
Recent developments in artificial intelligence (AI) have introduced new technologies that can aid in detecting cognitive decline. This study developed a voice-based AI model that screens for cognitive decline using only a short conversational voice s...
Cognitive Dysfunction Voice Male Middle Aged Humans Neural Networks, Computer Female Deep Learning Aged Artificial Intelligence Aged, 80 and over Machine Learning
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Impact of microbial profile integration on machine learning predictions of methane production: synergies and trade-offs with physicochemical parameters.

Bioresource technology Jun 1, 2025
Microbial sequencing data were rarely integrated into the prediction of methane production using machine learning (ML) models because of high dimensionality and the lack of a systematic way to evaluate the change of insight gained from modelling with...
Machine Learning Bacteria Methane
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Ground-State Descriptor Enables Machine Learning-Assisted Virtual Screening of AIE-Active Mechanofluorochromic Molecules with High Contrast.

Journal of chemical information and modeling Jun 1, 2025
Aggregation-induced emission mechanofluorochromic (AIE-MFC) molecules with high-contrast are in high demand for pressure-sensing devices and optoelectronic devices. However, developing AIE-MFC molecules with high-contrast beyond 100 nm still highly r...
Machine Learning Density Functional Theory Fluorescent Dyes
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Airbag-like Comb Flexible Pressure Sensor and Its Wearable Applications.

ACS applied materials & interfaces Jun 1, 2025
Flexible wearable devices demonstrate immense potential in healthcare and human-computer interaction, yet the development of high-performance flexible pressure sensors for these applications remains a pressing technical challenge. Inspired by the str...
Humans Machine Learning Wearable Electronic Devices Sign Language Air Bags Equipment Design Pressure
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Targeting INF2 with DiosMetin 7-O-β-D-Glucuronide: a new stratagem for colorectal cancer therapy.

BMC cancer Jun 1, 2025
BACKGROUND AND PURPOSE: Colorectal cancer (CRC) is the third most prevalent malignancy in the gastrointestinal tract and the second leading cause of cancer-related deaths. Despite the identification of numerous biomarkers, their non-specific distribu...
Molecular Docking Simulation Cell Line, Tumor Gene Expression Regulation, Neoplastic Male Middle Aged Machine Learning Prognosis Female Cell Proliferation Colorectal Neoplasms Cell Movement Biomarkers, Tumor Glucuronides Humans
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Comparative analysis of machine learning models for coronary artery disease prediction with optimized feature selection.

International journal of cardiology May 31, 2025
BACKGROUND: Coronary artery disease (CAD) is a major global cause of death, necessitating early, accurate prediction for better management. Traditional diagnostics are often invasive, costly, and less accessible. Machine learning (ML) offers a non-in...
Female Aged Male Middle Aged Predictive Value of Tests Humans Coronary Artery Disease Machine Learning Databases, Factual
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Methodological Review of Classification Trees for Risk Stratification: An Application Example in the Obesity Paradox.

Nutrients May 31, 2025
BACKGROUND: Classification trees (CTs) are widely used machine learning algorithms with growing applications in clinical research, especially for risk stratification. Their ability to generate interpretable decision rules makes them attractive to hea...
Critical Illness Intensive Care Units Risk Assessment Obesity Decision Trees Humans Machine Learning Critical Care Algorithms Obesity Paradox
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TRAF3 as a potential diagnostic biomarker for recurrent pregnancy loss: insights from single-cell transcriptomics and machine learning.

BMC pregnancy and childbirth May 31, 2025
BACKGROUND: Recurrent pregnancy loss (RPL), characterized by multiple miscarriages, remains a condition with unclear etiology, posing significant challenges for affected women and couples. This study aims to explore the underlying mechanisms of RPL, ...
Abortion, Habitual TNF Receptor-Associated Factor 3 Decidua Killer Cells, Natural Macrophage Migration-Inhibitory Factors Adult Gene Expression Profiling Transcriptome Case-Control Studies Single-Cell Analysis Biomarkers Pregnancy Female Humans Machine Learning
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