AI Medical Compendium

Reversible Charge Inversion Enables Field-Programmable Nanofluidic Memristor and Synapse for Neuromorphic Applications.

Nano letters Jan 26, 2026

Memristors, whose conductance depends on their past electrical history, are the foundation of emerging brain-inspired artificial computing architectures. Here, we demonstrate a unipolar memristor in which both ionic conductance and electroosmotic flo... read more

Relativistic Fermionic Neural Networks Based on Zeroth-Order Regular Approximation: ZORANet.

Journal of chemical theory and computation Jan 26, 2026

In this paper, we introduce ZORANet, a Fermionic neural network framework for the relativistic calculations based on scalar zeroth-order regular approximation (ZORA), which greatly expands the scope of deep neural network-based electronic structure m... read more

AI-Enabled Sensing Wristband for Student Behavior Detection.

ACS applied materials & interfaces Jan 26, 2026

With the advancement of the Internet of Things (IoT) and artificial intelligence (AI) technologies, wearable sensors will play a significant role in smart healthcare and behavior detection. Based on multiscale convolutional channel attention residual... read more

Spectral Fingerprinting of Engineered Nanomaterials for Precision Biosensing.

ACS nano Jan 26, 2026

Biological systems comprise a complex milieu of macromolecules, small molecules, and ions comprising tens of thousands of distinct species. Various clinical conditions alter the identities and concentrations of these species in a spatiotemporal-depen... read more

Integrated CT pipeline for automatic intracranial hemorrhage evaluation with GPT-enhanced clinical decision support.

European radiology Jan 26, 2026

OBJECTIVES: Intracranial hemorrhage (ICH) is a time-critical neurological emergency in which rapid CT-based assessment directly informs treatment decisions. This study aimed to develop an automated deep-learning pipeline to enhance ICH detection, seg... read more

Stacking Ensemble Machine Learning for Cardiac Safety Assessment Using hiPSC-CM MEA Data.

Annals of biomedical engineering Jan 26, 2026

PURPOSE: Prediction of Torsades de Pointes (TdP) risk using hiPSC-CM assays remains challenging, as many models fail to capture nonlinear patterns and exhibit unstable performance across different drugs. We examined whether a stacking ensemble can im... read more

Effect of frailty status and histopathological features on upstaging of non-muscle-invasive bladder cancer: a critical analysis based on machine learning.

International urology and nephrology Jan 26, 2026

AIM: This study aimed to develop a machine learning (ML)-assisted model to predict the risk of upstaging (subsequent higher stage on repeat pathology) in non-muscle-invasive bladder cancer (NMIBC). METHODS: A retrospective cohort study was conducted ... read more

Beyond Residential Ambient Concentrations: Quantifying Exposure Error and Advancing Personal PM2.5 Prediction with a Scalable Modeling Framework.

Environmental science & technology Jan 26, 2026

Accurate assessment of personal PM2.5 exposure is essential but challenging in large-scale epidemiology, as conventional residential ambient data often lead to exposure misclassification. This study aimed to quantify errors in ambient data proxies an... read more

Using machine learning to predict individual differences in psychological reactivities to social interactions.

Journal of personality and social psychology Jan 26, 2026

Individual differences in psychological reactivities (i.e., the degree to which individuals react differently to social interactions) are central to psychological research. Previous theory-based research has identified substantial individual differen... read more

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning.

Proceedings of the National Academy of Sciences of the United States of America Jan 26, 2026

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur footprints and address long-standing debates over whether some dinosaur tracks are the oldest birds or o... read more

Artificial Intelligence Medical Compendium