AIMC Topic: Humans

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Digital Twins for Monitoring Neuromotor Development in Preterm Infants: Conceptual Framework and Proof-of-concept Study.

Journal of medical systems
Preterm birth leads to an increased risk of long-term consequences, with over 50% of children born <30 weeks facing motor, cognitive, or behavioural impairments. Early monitoring of motor developmental trajectories, strongly associated with neurodeve...

Heterogeneity of human insular cortex: five principles of functional organization across multiple cognitive domains.

Brain structure & function
The insular cortex serves as a critical hub for human cognition, but how its anatomically distinct subregions coordinate diverse cognitive, emotional, and social functions remains unclear. Using the Human Connectome Project's multi-task fMRI dataset ...

Identifying and predicting dietary patterns in the Dutch population using machine learning.

European journal of nutrition
PURPOSE: Nutritional epidemiological research is shifting its focus from individual nutrients to dietary patterns, which challenges traditional statistical methods. Here, we aim to apply various machine learning algorithms to identify and predict die...

Applications, Challenges, and Prospects of Generative Artificial Intelligence Empowering Medical Education: Scoping Review.

JMIR medical education
BACKGROUND: Nowadays, generative artificial intelligence (GAI) drives medical education toward enhanced intelligence, personalization, and interactivity. With its vast generative abilities and diverse applications, GAI redefines how educational resou...

Cardiovascular risk prediction in diabetes: a hybrid machine learning approach.

Biomedical physics & engineering express
Cardiovascular disease (CVD) is a major cause of morbidity and mortality in diabetic populations. Early detection of cardiovascular risk in diabetes is crucial to reduce complications, particularly in resource-limited settings. This study aimed to de...

Human-Machine Agreement in Medical Ethics: Patient Autonomy Case-Based Evaluation of Large Language Models.

JMIR medical informatics
BACKGROUND: Medical ethics provides a moral framework for the practice of clinical medicine. Four principles, that is, beneficence, nonmaleficence, patient autonomy, and justice, form the cornerstones of medical ethics as it is practiced today. Of th...

Microfluidic-based nanocarriers for overcoming biological barriers in therapeutic delivery systems.

Nanoscale
Microfluidic technologies have revolutionized the synthesis of nanocarriers for drug and gene delivery, providing unparalleled precision and efficiency in the production of therapeutic nanoparticles. This review highlights recent advancements in micr...

Fractal measures as predictors of histopathological complexity in breast carcinoma mammograms.

Physical biology
This study investigates the efficacy of fractal-based global texture features for distinguishing between malignant and normal mammograms and assessing their potential for molecular subtype differentiation. Digital mammograms were analyzed using stand...

Co-cultured sensory neuron classification using extracellular electrophysiology and machine learning approaches for enhancing analgesic screening.

Journal of neural engineering
Chronic pain affects over 20% of the adult population in the United States, posing a substantial personal as well as economic burden and contributing to the ongoing opioid crisis. Effective, non-addictive chronic pain treatments are urgently needed. ...

Deep learning-driven contactless ECG in MRI via beat pilot tone for motion-resolved image reconstruction and heart rate monitoring.

Physics in medicine and biology
Electrocardiogram (ECG) is crucial for synchronizing cardiovascular magnetic resonance imaging (CMRI) acquisition with the cardiac cycle and for continuous heart rate monitoring during prolonged scans. However, conventional electrode-based ECG system...