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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...
A modified generative adversarial networks method for assisting the diagnosis of deep venous thrombosis complications in stroke patients.
Scientific reports
Jul 1, 2025
Discriminate deep vein thrombosis, one of the complications in early stroke patients, in order to assist in diagnosis. We have constructed a new method called ACWGAN by combining ACGAN and WGAN methods for data augmentation to to enhance the data of ...
Survival analysis for sepsis patients: A machine learning approach to feature selection and predictive modeling.
Scientific reports
Jul 1, 2025
Sepsis is a life-threatening condition that presents substantial challenges to healthcare and pharmacological management due to its high mortality rates and complex patient responses. Accurately predicting patient outcomes is essential for optimizing...
Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach.
Scientific reports
Jul 1, 2025
Schizophrenia is a persistent and serious mental illness that leads to distortions in cognition, perception, emotions, speech, self-awareness, and actions. Affecting about 1% of people worldwide, schizophrenia usually emerges in late adolescence or e...
STIED: a deep learning model for the spatiotemporal detection of focal interictal epileptiform discharges with MEG.
Scientific reports
Jul 1, 2025
Magnetoencephalography (MEG) allows the non-invasive detection of interictal epileptiform discharges (IEDs). Clinical MEG analysis in epileptic patients traditionally relies on the visual identification of IEDs, which is time consuming and partially ...
The effects of robot anthropomorphic characteristics on employees' anti-robot sabotage.
Scientific reports
Jul 1, 2025
Robot anthropomorphic characteristics have not only been widely manifested in production practices, but their positive effects on human-robot interaction have also been investigated and validated in academic research. Nonetheless, existing research h...
Exploration of shared pathogenic factors and causative genes in early-stage endometrial cancer and osteoarthritis.
Scientific reports
Jul 1, 2025
Osteoarthritis (OA) has been implicated in the development and progression of early-stage endometrial cancer (EC), suggesting shared pathogenic factors between the two diseases. This study aimed to investigate the causal relationship between OA and E...
Artificial neural network-driven approaches to improved forecasting of disability care expenditures in an aging Kingdom of Saudi Arabia population.
Scientific reports
Jul 1, 2025
The total number of older persons globally (those aged 60 years and above) was 202 million in 1950; this total multiplied to attain 901 million and is predicted to triple again in 2100. The growth percentage of the elderly population is quickly impro...
A novel approach to overcome black box of AI for optical diagnosis in colonoscopy.
Scientific reports
Jul 1, 2025
Accurate real-time optical diagnosis that distinguishes neoplastic from non-neoplastic colorectal lesions during colonoscopy can lower the costs of pathological assessments, prevent unnecessary polypectomies, and help avoid adverse events. Using a mu...
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