AIMC Topic: Humans
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Personalized health monitoring using explainable AI: bridging trust in predictive healthcare.
Scientific reports
Aug 29, 2025
AI has propelled the potential for moving toward personalized health and early prediction of diseases. Unfortunately, a significant limitation of many of these deep learning models is that they are not interpretable, restricting their clinical utilit...
Adipose tissue gene expression and longitudinal clinical phenotypes are early biomarkers of lipid-regulating drug usage.
Scientific reports
Aug 29, 2025
Cardiovascular disease progression is characterised by the dysregulation of lipid metabolism and pro-atherogenic effects of adipose tissue signalling. Recent findings from the analysis of transcriptomic data in bulk tissue has enabled these insights ...
An attention-based mRNA transformer network for accurate prediction of melanoma response to immune checkpoint inhibitors.
Scientific reports
Aug 29, 2025
Melanoma immunotherapy urgently requires approaches that can accurately predict drug responses to minimize unnecessary treatments. Deep learning models have emerged as powerful tools in this domain due to their robust predictive capabilities. Integra...
Synthetic data generation method improves risk prediction model for early tumor recurrence after surgery in patients with pancreatic cancer.
Scientific reports
Aug 29, 2025
Pancreatic cancer is aggressive with high recurrence rates, necessitating accurate prediction models for effective treatment planning, particularly for neoadjuvant chemotherapy or upfront surgery. This study explores the use of variational autoencode...
Utility of the continuous spectrum formed by pathological states in characterizing disease properties.
NPJ systems biology and applications
Aug 29, 2025
Understanding diseases as the result of continuous transitions from a healthy system is more realistic than understanding them as discrete states. Here, we designed the spectrum formation approach (SFA), a machine learning-based method that extracts ...
Using deep learning to predict internalizing problems from brain structure in youth.
Translational psychiatry
Aug 29, 2025
Internalizing problems (e.g., anxiety and depression) are associated with a wide range of adverse outcomes. While some predictors of internalizing problems are known (e.g., their frequent co-occurrence with neurodevelopmental (ND) conditions), the bi...
Deep Learning Radiomics Model Based on Computed Tomography Image for Predicting the Classification of Osteoporotic Vertebral Fractures: Algorithm Development and Validation.
JMIR medical informatics
Aug 29, 2025
BACKGROUND: Osteoporotic vertebral fractures (OVFs) are common in older adults and often lead to disability if not properly diagnosed and classified. With the increased use of computed tomography (CT) imaging and the development of radiomics and deep...
Development and Validation of a Large Language Model-Based System for Medical History-Taking Training: Prospective Multicase Study on Evaluation Stability, Human-AI Consistency, and Transparency.
JMIR medical education
Aug 29, 2025
BACKGROUND: History-taking is crucial in medical training. However, current methods often lack consistent feedback and standardized evaluation and have limited access to standardized patient (SP) resources. Artificial intelligence (AI)-powered simula...
A Machine Learning Approach for Identifying People With Neuroinfectious Diseases in Electronic Health Records: Algorithm Development and Validation.
JMIR medical informatics
Aug 29, 2025
BACKGROUND: Identifying neuroinfectious disease (NID) cases using International Classification of Diseases billing codes is often imprecise, while manual chart reviews are labor-intensive. Machine learning models can leverage unstructured electronic ...
A Robot-Delivered Training Program to Improve Children's Mental Health and Resilience in Dutch Primary Schools: Pilot Intervention Study.
JMIR formative research
Aug 29, 2025
BACKGROUND: Mental health problems often start at an early age and can persist into adulthood, leading to physical and mental health problems such as substance abuse, sleep problems, depressive disorders, and suicidal tendencies. Therefore, it is imp...
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