Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 12,141 to 12,150 of 210,314 articles

Maternal obesity and the embryonic rewiring of feeding circuits: beyond the hypothalamus.

Molecular metabolism
Maternal obesity disrupts fetal hypothalamic development by inducing structural changes in feeding circuits, such as reduced hypothalamic precursor proliferation, blunted energy-status sensing, and aberrant wiring of melanocortin pathways, ultimately... read more 

Developmental Profile of Physiological High-Frequency Oscillations in the Human Brain.

NeuroImage
High-frequency oscillations (HFOs), transient burst of ≥ 80 Hz activity, are increasingly recognized as promising EEG biomarkers of the epileptogenic zone for guiding epilepsy surgery. However, the presence of physiological HFOs in healthy cortex com... read more 

Artematrolide F suppresses communication between hepatocellular carcinoma cells and hepatic stellate cells to attenuate liver cancer progression through targeting YKT6.

Cellular signalling
Hepatocellular carcinoma (HCC) remains a highly malignant cancer with limited treatment options. HCC cells (HCCs) activate hepatic stellate cells (HSCs) and transform them into cancer-associated fibroblasts (CAFs), forming a vicious cycle for hepatoc... read more 

Identification and Validation of Glycosylation-Related Biomarkers in the Hippocampus for Alzheimer's Disease Diagnosis and Drug Repurposing.

European journal of pharmacology
As a crucial type of post-translational modification, glycosylation plays a fundamental role in maintaining cellular homeostasis and is closely associated with the progression of Alzheimer's Disease (AD). Given the central involvement of the hippocam... read more 

EEG microstate dynamics and metal metabolism in Parkinson's disease dementia: an exploratory study with machine learning-assisted sensitivity analysis.

Brain research bulletin
BACKGROUND: Electroencephalogram (EEG) microstates effectively characterise cognitive-related brain networks, and metal homeostasis is crucial for maintaining cognitive function. However, the relationship between these factors in Parkinson's disease ... read more 

[Application analysis of the artificial intelligence model DeepSeek in breast cancer treatment decision-making].

Zhonghua zhong liu za zhi [Chinese journal of oncology]
Objective: To evaluate the accuracy and feasibility of applying the DeepSeek artificial intelligence model in clinical decision-making for breast cancer by comparing its recommendations with the diagnosis and treatment plans formulated by multi-disci... read more 

Spiking Neural Membrane Systems with Temporal Coding.

International journal of neural systems
Spiking neural P systems (SNP systems) are a type of neuromorphic membrane computing models abstracted based on neuron spiking mechanisms, with nonlinear spiking neural P systems (NSNP systems) being a nonlinear variant of them. Based on the theoreti... read more 

Isolating Eye-Movement Artifacts from EEG Signals.

International journal of neural systems
The electroencephalogram (EEG) provides a direct measure of brain electrical activity but is typically contaminated by artifacts, most notably those arising from eye movements. Such artifacts are often removed using blind source separation techniques... read more 

Decoding immunity: AI-driven insights into T-cell receptor antigen recognition and immune function.

Immunology and cell biology
In this research highlight, we discuss key studies published in 2025 that advance our understanding of TCR biology, spanning mechanistic insights into activation, and emerging AI-based computational approaches able to model TCR-antigen recognition wi... read more