AIMC Topic: Machine Learning
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Evaluation of normalization strategies for mass spectrometry-based multi-omics datasets.
Metabolomics : Official journal of the Metabolomic Society
Jul 1, 2025
INTRODUCTION: Data normalization is crucial for multi-omics integration, reducing systematic errors and maximizing the likelihood of discovering true biological variation. Most studies assess normalization for a single omics type or use datasets from...
Prediction of axillary lymph node metastasis in triple negative breast cancer using MRI radiomics and clinical features.
Scientific reports
Jul 1, 2025
To develop and validate a machine learning-based prediction model to predict axillary lymph node (ALN) metastasis in triple negative breast cancer (TNBC) patients using magnetic resonance imaging (MRI) and clinical characteristics. This retrospective...
Screening biomarkers related to cholesterol metabolism in osteoarthritis based on transcriptomics.
Scientific reports
Jul 1, 2025
Cholesterol metabolism-related genes (CMRGs) have been associated with osteoarthritis (OA), but their specific regulatory mechanisms remain unclear. This study aimed to investigate the role of CMRGs in OA and provide new insights into its treatment. ...
A highly generalized federated learning algorithm for brain tumor segmentation.
Scientific reports
Jul 1, 2025
Brain image segmentation plays a pivotal role in modern healthcare by enabling precise diagnosis and treatment planning. Federated Learning (FL) enables collaborative model training across institutions while safeguarding sensitive patient data. The i...
Unveiling the mechanisms and promising molecular targets of curcumin in pancreatic cancer through multi-dimensional data.
Scientific reports
Jul 1, 2025
Pancreatic cancer (PC) is a highly aggressive and fatal malignancy, primarily affecting older males. Curcumin, a potential anti-cancer agent, has been shown to regulate key molecules in cancer progression, but its specific mechanisms in PC remain unc...
Development and validation of a modified SOFA score for mortality prediction in candidemia patients.
Scientific reports
Jul 1, 2025
Candidemia is a life-threatening bloodstream infection associated with high mortality rates, particularly in critically ill patients. Accurate risk stratification is crucial for timely intervention and could improve patient outcomes. This study aimed...
Predictive model of ulcerative colitis syndrome with ensemble learning and interpretability methods.
Scientific reports
Jul 1, 2025
In recent years, the prevalence of chronic diseases such as Ulcerative Colitis (UC) has increased, bringing a heavy burden to healthcare systems. Traditional Chinese Medicine (TCM) stands out for its cost-effective and efficient treatment modalities,...
Language models learn to represent antigenic properties of human influenza A(H3) virus.
Scientific reports
Jul 1, 2025
Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and circulating viruses, it is important to assess the antigenic properties of newly emerging variants continuously. With the increasing application of r...
MEN: leveraging explainable multimodal encoding network for precision prediction of CYP450 inhibitors.
Scientific reports
Jul 1, 2025
Drug-drug interactions (DDIs) present serious risks in clinical settings, especially for patients who are prescribed multiple medications. A major factor contributing to these interactions is the inhibition of cytochrome P450 (CYP450) enzymes, which ...
Prognostic model of lung adenocarcinoma from the perspective of cancer-associated fibroblasts using single-cell and bulk RNA-sequencing.
Scientific reports
Jul 1, 2025
Cancer-associated fibroblasts (CAFs) play important roles in the progression of lung adenocarcinoma (LUAD). We examined CAF subgroups via gene ontology, pseudo-time, and cell communication analyses and explored their prognostic value in LUAD using a ...
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