AI Medical Compendium

Integrative computational pipeline for the in silico prioritization of potential KIF11-targeting drug candidates in glioblastoma.

Journal of molecular graphics & modelling Mar 11, 2026

Glioblastoma multiforme (GBM) is the most aggressive primary brain tumor of the central nervous system and remains associated with poor prognosis. Although treatment strategies have improved, the blood-brain barrier (BBB) continues to impede effectiv... read more

Machine learning-based diagnostic modeling for differentiating lymphoid hyperplasia from acute appendicitis using laboratory biomarkers.

American journal of surgery Mar 11, 2026

BACKGROUND: This study aimed to assess the diagnostic ability of routine laboratory biomarkers and develop machine learning (ML) models to improve differentiation between LH and AA. METHODS: A total of 873 patients (209 LH; 664 AA) were retrospective... read more

A complex-valued widening spiking neural network.

Neural networks : the official journal of the International Neural Network Society Mar 11, 2026

Traditional spiking neural networks (SNNs) transmit only spike timing to downstream neurons, discarding rich subthreshold dynamics and limiting network capacity. To address this, we propose a Complex-valued Widening Spiking Neural Network (CWSNN), wh... read more

Self-supervised learning-aided ultrasonic testing for overcoming long-tail problems in stress-strain curve prediction.

Ultrasonics Mar 11, 2026

Addressing the long-tail problem (LTP) is critical when applying deep learning (DL) to ultrasonic testing, as defective samples often lead to poor testing performance. This study addresses the LTP in stress-strain curve prediction using ultrasound by... read more

PDCFMO: Probabilistic dense correspondence of human body via fusion meta-optimization.

Neural networks : the official journal of the International Neural Network Society Mar 11, 2026

The task of estimating human dense correspondences from images is critical in human-centric analysis, yet existing methods face a trade-off between speed and accuracy. Direct regression approaches are fast but often lack geometric precision, while op... read more

From structural evolution to an AI-driven future of 5-HT1F receptor agonists for migraine therapy.

European journal of medicinal chemistry Mar 11, 2026

Migraine is a prevalent and disabling neurological disorder that imposes a substantial global disease burden, particularly among women of childbearing age. Although therapies targeting the calcitonin gene-related peptide (CGRP) pathway have improved ... read more

The Challenge of Generative Artificial Intelligence for Journals.

The Canadian journal of hospital pharmacy Mar 11, 2026

Toward Long-Term Visual Field Appearance Forecasting Using Artificial Intelligence for Ophthalmic Education and Diagnosis.

Ophthalmology science Mar 11, 2026

OBJECTIVE: To provide state-of-the-art, post hoc-explainable visual field (VF) forecasts to aid in training ophthalmic residents to characterize glaucoma progression (GP), we train artificial intelligence (AI) to take as input VFs to detect GP and fo... read more

Why Does It Look There? Structured Explanations for Image Classification

arXiv Mar 10, 2026

Deep learning models achieve remarkable predictive performance, yet their black-box nature limits transparency and trustworthiness. Although numerous explainable artificial intelligence (XAI) methods have been proposed, they primarily provide salienc... read more

Computer Vision and Pattern Recognition cs.LG

Joint Imaging-ROI Representation Learning via Cross-View Contrastive Alignment for Brain Disorder Classification