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Validation of an AI-enabled exome/transcriptome liquid biopsy platform for early detection, MRD, disease monitoring, and therapy selection for solid tumors.

Scientific reports Jul 1, 2025
Effective clinical management of patients with cancer requires highly accurate diagnosis, precise therapy selection, and highly sensitive monitoring of disease burden. Caris Assure is a multifunctional blood-based assay that couples whole exome and w...
Neoplasms Gene Expression Profiling Liquid Biopsy Humans Transcriptome Artificial Intelligence Female Exome Sequencing Early Detection of Cancer Machine Learning Adult Neoplasm, Residual Male Exome Middle Aged
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Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission.

Scientific reports Jul 1, 2025
Scientists aim to create a system that can predict the likelihood of newborns being admitted to the neonatal intensive care unit (NICU) by combining various statistical methods. This prediction could potentially reduce the negative health outcomes, d...
Female Infant, Newborn Adult Male Humans Machine Learning Retrospective Studies ROC Curve Pregnancy Iran Patient Admission Intensive Care Units, Neonatal
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A machine learning-based framework for predicting metabolic syndrome using serum liver function tests and high-sensitivity C-reactive protein.

Scientific reports Jul 1, 2025
Metabolic Syndrome (MetS) comprises a clustering of conditions that significantly increase the risk of heart disease, stroke, and diabetes. Timely detection and intervention are crucial in preventing severe health outcomes. In this study, we implemen...
C-Reactive Protein Alanine Transaminase Aspartate Aminotransferases Bilirubin Liver Function Tests Humans Male Neural Networks, Computer Middle Aged Machine Learning Support Vector Machine Algorithms Biomarkers Metabolic Syndrome Female Aged Adult
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AI-driven analysis by identifying risk factors of VL relapse in HIV co-infected patients.

Scientific reports Jul 1, 2025
Visceral Leishmaniasis (VL), also known as Kala-Azar, poses a significant global public health challenge and is a neglected disease, with relapses and treatment failures leading to increased morbidity and mortality. This study introduces an explainab...
Humans Machine Learning Female Recurrence Leishmaniasis, Visceral HIV Infections Risk Factors Support Vector Machine Adult Coinfection Male Proportional Hazards Models Middle Aged
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Deep learning for occupation recognition and knowledge discovery in rheumatology clinical notes.

Scientific reports Jul 1, 2025
Occupational data is a crucial social determinant of health, influencing diagnostic accuracy, treatment strategies, and policy-making in healthcare. However, its inclusion in electronic health records (EHR) is often relegated to unstructured fields. ...
Occupations Deep Learning Rheumatic Diseases Rheumatology Humans Electronic Health Records Female Adult Male Middle Aged
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EEG based real time classification of consecutive two eye blinks for brain computer interface applications.

Scientific reports Jul 1, 2025
Human eye blinks are considered a significant contaminant or artifact in electroencephalogram (EEG), which impacts EEG-based medical or scientific applications. However, eye blink detection can instead be transformed into a potential application of b...
Brain-Computer Interfaces Blinking Brain Female Young Adult Adult Male Support Vector Machine Electroencephalography Humans Signal Processing, Computer-Assisted Neural Networks, Computer Machine Learning
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Machine learning evaluation model of pilot workload in a low-visibility environment.

Scientific reports Jul 1, 2025
To analyze the variation trend of pilots' workload in a low-visibility flight environment and then put forward a scientific evaluation method, this study set up an experimental platform using an E01-pro simulated flight platform and a PhysioPlux mult...
Adult Male Electrocardiography Workload Humans Machine Learning Heart Rate Markov Chains Pilots
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Comparison of AI chatbot predicted and realworld survival outcomes in hepatocellular carcinoma.

Scientific reports Jul 1, 2025
This study compares survival predictions made by an artificial intelligence (AI) based chatbot with real-world data in hepatocellular carcinoma (HCC) patients. It aims to evaluate the reliability and accuracy of AI technologies in HCC prognosis. A re...
Artificial Intelligence Prognosis Retrospective Studies Female Humans Liver Neoplasms Carcinoma, Hepatocellular Generative Artificial Intelligence Survival Analysis Aged Adult Male Middle Aged
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Evaluation of MRI-based synthetic CT for lumbar degenerative disease: a comparison with CT.

Scientific reports Jul 1, 2025
Patients with lumbar degenerative disease typically undergo preoperative MRI combined with CT scans, but this approach introduces additional ionizing radiation and examination costs. To compare the effectiveness of MRI-based synthetic CT (sCT) in dis...
Intervertebral Disc Degeneration Humans Male Aged Prospective Studies Middle Aged Aged, 80 and over Tomography, X-Ray Computed Magnetic Resonance Imaging Young Adult Female Lumbar Vertebrae Adult
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Beyond accuracy: a framework for evaluating algorithmic bias and performance, applied to automated sleep scoring.

Scientific reports Jul 1, 2025
Recent advancements in artificial intelligence (AI) have significantly improved sleep-scoring algorithms, bringing their performance close to the theoretical limit of approximately 80%, which aligns with inter-scorer agreement levels. While this sugg...
Humans Artificial Intelligence Algorithms Middle Aged Bias Sleep Polysomnography Female Reproducibility of Results Adult Male
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