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An enhanced deep learning model for accurate classification of ovarian cancer from histopathological images.
Scientific reports
Jul 1, 2025
Ovarian Cancer is a malignancy that develops from ovarian cells and is frequently characterized by aberrant cell proliferation that leads to the creation of tumors within the ovaries. The high death rate and often delayed discovery of Ovarian Cancer ...
Proteomic risk scores for predicting common diseases using linear and neural network models in the UK biobank.
Scientific reports
Jul 1, 2025
Plasma proteomics provides a unique opportunity to enhance disease prediction by capturing protein expression patterns linked to diverse pathological processes. Leveraging data from 2,923 proteins measured in 53,030 UK Biobank participants, we develo...
Modeling the prediction of spontaneous rupture and bleeding in hepatocellular carcinoma via machine learning algorithms.
Scientific reports
Jul 1, 2025
This study aimed to identify the risk factors associated with spontaneous rupture and bleeding in hepatocellular carcinoma, establish a prediction model for spontaneous rupture bleeding via a machine learning algorithm, and validate and evaluate the ...
Moral judgments in online discourse are not biased by gender.
Scientific reports
Jul 1, 2025
The interaction between social norms and gender roles prescribes gender-specific behaviors that influence moral judgments. While previous work has demonstrated the existence of gender-bias in judgments, these studies are mainly based on controlled ex...
Automated classification of chondroid tumor using 3D U-Net and radiomics with deep features.
Scientific reports
Jul 1, 2025
Classifying chondroid tumors is an essential step for effective treatment planning. Recently, with the advances in computer-aided diagnosis and the increasing availability of medical imaging data, automated tumor classification using deep learning sh...
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...
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...
Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection.
Scientific reports
Jul 1, 2025
Schizophrenia is a mental disorder characterized by hallucinations, delusions, disorganized thinking and behavior, and inappropriate affect. Early and accurate diagnosis of schizophrenia remains a challenge due to the disorder's complex nature and th...
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 ...
Comparing ChatGPT and validated questionnaires in assessing loneliness and online social support among college students: a cross-sectional study.
Scientific reports
Jul 1, 2025
The capability of ChatGPT to understand and generate human-readable text has prompted the investigation of its potential as mental health assessment tools. This study aims to explore the validity of ChatGPT in assessing loneliness and online social s...
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