AIMC Topic: Humans
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Gut microbiome alterations and hepatic encephalopathy post-TIPS in liver cirrhosis patients.
Journal of translational medicine
Jul 4, 2025
BACKGROUND: The transjugular intrahepatic portosystemic shunt (TIPS), a crucial tool for treating complications related to portal hypertension in patients with liver cirrhosis, is often associated with an increased risk of postoperative complications...
Prediction of three-year all-cause mortality in patients with heart failure and atrial fibrillation using the CatBoost model.
BMC cardiovascular disorders
Jul 4, 2025
BACKGROUND: Heart failure and atrial fibrillation (HF-AF) frequently coexist, resulting in complex interactions that substantially elevate mortality risk. This study aimed to develop and validate a machine learning (ML) model predicting the 3-year al...
Aged
Heart Failure
Humans
Aged, 80 and over
Atrial Fibrillation
Machine Learning
Risk Assessment
Female
Decision Support Techniques
Boosting Machine Learning Algorithms
Time Factors
Reproducibility of Results
Male
Prognosis
Predictive Value of Tests
Risk Factors
Middle Aged
Retrospective Studies
Cause of Death
Multi-modality radiomics diagnosis of breast cancer based on MRI, ultrasound and mammography.
BMC medical imaging
Jul 4, 2025
OBJECTIVE: To develop a multi-modality machine learning-based radiomics model utilizing Magnetic Resonance Imaging (MRI), Ultrasound (US), and Mammography (MMG) for the differentiation of benign and malignant breast nodules.
Identification and single-cell analysis of prognostic genes related to mitochondrial and neutrophil extracellular traps in bladder cancer.
Scientific reports
Jul 4, 2025
The development of bladder cancer (BLCA) is associated with mitochondrial dysfunction and neutrophil extracellular traps (NETs); however, the relationship between mitochondrial function and NET formation in BLCA remains poorly understood. In this stu...
Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis.
Scientific reports
Jul 4, 2025
This study developed an immune-related long non-coding RNAs (lncRNAs)-based prognostic signature by integrating multi-omics data and machine learning algorithms to predict survival and therapeutic responses in breast cancer patients. Utilizing transc...
Tracing the evolutionary pathway of SARS-CoV-2 through RNA sequencing analysis.
Scientific reports
Jul 4, 2025
The COVID-19 pandemic, driven by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), has underscored the need to understand the virus's evolution due to its global health impact. This study employed RNA sequencing (RNA-Seq) to analyze g...
Prior knowledge of anatomical relationships supports automatic delineation of clinical target volume for cervical cancer.
Scientific reports
Jul 4, 2025
Deep learning has been used for automatic planning of radiotherapy targets, such as inferring the clinical target volume (CTV) for a given new patient. However, previous deep learning methods mainly focus on predicting CTV from CT images without cons...
Medical slice transformer for improved diagnosis and explainability on 3D medical images with DINOv2.
Scientific reports
Jul 4, 2025
Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are essential clinical cross-sectional imaging techniques for diagnosing complex conditions. However, large 3D datasets with annotations for deep learning are scarce. While methods like DI...
Prediction of suicide using web based voice recordings analyzed by artificial intelligence.
Scientific reports
Jul 4, 2025
The integration of machine learning (ML) and deep learning models in suicide risk assessment has advanced significantly in recent years. In this study, we utilized ML in a case-control design, we predicted completed suicides using publicly available,...
A tailored deep learning approach for early detection of oral cancer using a 19-layer CNN on clinical lip and tongue images.
Scientific reports
Jul 4, 2025
Early and accurate detection of oral cancer plays a pivotal role in improving patient outcomes. This research introduces a custom-designed, 19-layer convolutional neural network (CNN) for the automated diagnosis of oral cancer using clinical images o...
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