AI Medical Compendium

Robust unsupervised outlier detection in IoT using contrastive learning-driven autoencoders.

Scientific reports May 8, 2026

Outlier detection plays a critical role in ensuring the reliability, security, and operational stability of Internet of Things (IoT) systems, where data streams are often high-dimensional, heterogeneous, and unlabeled. In this paper, we propose a rob... read more

Machine learning and neural network algorithms for prediction of C5 palsy after posterior surgery for ossification of posterior longitudinal ligament.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society May 8, 2026

PURPOSE: C5 palsy (C5P) is one of the main postoperative complications of ossification of the posterior longitudinal ligament (OPLL). However, an accurate predictive tool for C5P remains to be developed. Forecasting this potentially avoidable consequ... read more

NeuroPred-GMC: a dual-branch deep learning architecture for neuropeptide prediction based on gated dilated convolutional network and multi-scale convolutional network.

Journal of computer-aided molecular design May 8, 2026

Neuropeptides are multifunctional signaling molecules in the nervous system. By modulating synaptic transmission and integrating physiological systems, they influence a broad range of functions from pain perception to emotional regulation. Predicting... read more

Methodological illustration using machine learning methods to predict cancer-related fatigue in cancer patients.

Journal of behavioral medicine May 8, 2026

Supervised machine learning is a popular tool for predictor selection in large data sets. The choice of method is currently either based on theory, subjective preferences, previous general simulation studies, or the best fit of a method to the data, ... read more

Cross-Species Plant Single-Cell Analysis: Community Challenges and Shared Solutions.

Journal of experimental botany May 8, 2026

Single-cell genomics is rapidly reshaping plant biology, yet broader adoption is limited by plant-specific technical constraints, fragmented tools, and inconsistent analytical practices. Here we report outcomes from the 2025 Summer Workshop for Plant... read more

Longitudinal Degeneration of Microstructural and Structural Connectivity Patterns Following Stroke.

Stroke May 8, 2026

BACKGROUND: Stroke causes neurological impairment through local plasticity mechanisms, such as synaptic sprouting, and large-scale network reorganization. Although poststroke Wallerian degeneration is well established, whether white matter (WM) tract... read more

Childhood environment clusters reveal heterogeneous associations between large-scale brain networks and youth mental health symptoms.

Psychological medicine May 8, 2026

BACKGROUND: Youth mental health and brain development are profoundly shaped by highly heterogeneous childhood environments. However, research often operates under the assumption that neural networks linked to psychopathology function in the same way ... read more

Deep learning based on CD3 histological slides for prediction of colon cancer outcome: analysis of three international stage III colon cancer cohorts.

Oncoimmunology May 8, 2026

Prognostic stratification in stage III colon cancer remains poor, despite treatment advances. Tumor-infiltrating lymphocytes, particularly CD3+ T cells, are potential prognostic markers, but manual assessment is labor-intensive and not robust. This s... read more

Electrochemical Biosensors for Hepatocellular Carcinoma: Advances, Analytical Performance, and Clinical Translation.

Critical reviews in analytical chemistry May 8, 2026

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide due to the limited sensitivity of current surveillance and diagnostic strategies for early-stage detection. Electrochemical biosensors have emerged as promis... read more

Artificial intelligence-assisted confocal laser endomicroscopy for predicting invasion depth of superficial esophageal mucosal lesions: a cohort study.

Clinical and translational gastroenterology May 8, 2026

INTRODUCTION: Accurate assessment of invasion depth in esophageal squamous cell carcinoma (ESCC) is essential for optimal treatment. Probe-based confocal laser endomicroscopy (pCLE) enables real-time in vivo imaging, but its interpretation depends he... read more

Artificial Intelligence Medical Compendium