AIMC Topic: Middle Aged
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Identification of age-specific risk factors for hyperuricemia: a machine learning-driven stratified analysis in health examination cohorts.
BMC medical informatics and decision making
Jul 28, 2025
BACKGROUND: Hyperuricemia (HUA) as a global public health challenge, although its overall epidemiological characteristics have been widely reported, its age-specific risk pattern remains controversial. This study aims to reveal the risk factors of HU...
Does Humanness Matter? An Ethical Evaluation of Sharing Care Work with Social Robots.
Science and engineering ethics
Jul 28, 2025
While social robots offer potential benefits like task assistance and companionship, their integration raises concerns about the erosion of human connection and the dehumanization of care. Through a qualitative study of older adults, family caregiver...
Gut microbiota and SCFAs improve the treatment efficacy of chemotherapy and immunotherapy in NSCLC.
NPJ biofilms and microbiomes
Jul 28, 2025
The role of gut dysbiosis in shaping immunotherapy responses is well-recognized, yet its effect on the therapeutic efficacy of chemotherapy and immunotherapy combinations remains poorly understood. We analyzed gut microbiota in non-small cell lung ca...
Predicting Missed Appointments in Primary Care: A Personalized Machine Learning Approach.
Annals of family medicine
Jul 28, 2025
PURPOSE: Factors influencing missed appointments are complex and difficult to anticipate and intervene against. To optimize appointment adherence, we aimed to use personalized machine learning and big data analytics to predict the risk of and contrib...
Differential Analysis of Age, Gender, Race, Sentiment, and Emotion in Substance Use Discourse on Twitter During the COVID-19 Pandemic: A Natural Language Processing Approach.
JMIR infodemiology
Jul 28, 2025
BACKGROUND: User demographics are often hidden in social media data due to privacy concerns. However, demographic information on substance use (SU) can provide valuable insights, allowing public health policy makers to focus on specific cohorts and d...
Enhancing central visual field loss representation with a hybrid unsupervised approach.
International ophthalmology
Jul 28, 2025
PURPOSE: To effectively represent central visual field (VF) loss for individual patients using a hybrid unsupervised approach.
Enhancing surface electromyographic signal recognition accuracy for trans-radial amputees using broad learning systems.
Biomedical physics & engineering express
Jul 28, 2025
Gesture recognition based on surface electromyography (sEMG) plays a crucial role in human-computer interaction. By analyzing sEMG signals generated from residual forearm muscle activity in trans-radial amputees, it is possible to predict their hand ...
Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learning approach.
PloS one
Jul 28, 2025
BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality and morbidity in China and worldwide while we are lacking in validated primary prevention model specifically for Chinese. To identify CVD high-risk individuals for early inter...
Identifying key physiological and clinical factors for traumatic brain injury patient management using network analysis and machine learning.
PloS one
Jul 28, 2025
In the intensive care unit (ICU), managing traumatic brain injury (TBI) patients presents significant challenges due to the dynamic interaction between physiological and clinical markers. This study aims to uncover these subtle interconnections and i...
AI-driven skin cancer detection from smartphone images: A hybrid model using ViT, adaptive thresholding, black-hat transformation, and XGBoost.
PloS one
Jul 28, 2025
Skin cancer is a significant global public health issue, with millions of new cases identified each year. Recent breakthroughs in artificial intelligence, especially deep learning, possess considerable potential to enhance the accuracy and efficiency...
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