Artificial Intelligence Medical Compendium

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

Showing 52,521 to 52,530 of 225,341 articles

Estimating Gait Kinematics from Muscle Activity Using Deep Learning in Typically Developing Children

bioRxiv Feb 8, 2026
Instrumented gait assessment in pediatric populations is often constrained by the complexity and lack of portability of traditional motion capture systems. In this article, we propose a deep learning approach utilizing a one-dimensional (1D) U-Net ar... read more 
bioengineering

Deep learning enables quantitative subcellular analysis of plant-microbe interfaces

bioRxiv Feb 8, 2026
Specialized host-microbe interfaces are central to cellular interactions in plants. Intracellular structures such as haustoria formed by filamentous pathogens mediate nutrient exchange and effector delivery to host cells. Despite their biological imp... read more 
cell biology

Widespread data leakage inflates performance estimates in cancer drug response prediction

bioRxiv Feb 8, 2026
Drug response prediction models are widely used to nominate biomarkers and guide pre-clinical drug prioritization. However, their reported performance hinges on rigorous separation of training and test data during cross-validation (CV). Here we show ... read more 
bioinformatics

Results of a large scale study of the binding of 50 type IIinhibitors to 348 kinases: The role of protein reorganization

bioRxiv Feb 8, 2026
Kinase family proteins constitute the second largest protein class targeted in drug development efforts, most prominently to treat cancer, but also several other diseases associated with kinase dysfunction. In this work we focus on type II kinase inh... read more 
biophysics

The hippocampus as a small-world cognitive map

bioRxiv Feb 8, 2026
When a mouse perceives a hawk's shadow, it may have only seconds to decide where to run, yet the safest refuge is often neither visible nor nearby. To survive, it must search its cognitive map quickly enough to choose among many possibilities, and ac... read more 
neuroscience

TerraBind: Fast and Accurate Binding Affinity Prediction through Coarse Structural Representations

arXiv Feb 8, 2026
We present TerraBind, a foundation model for protein-ligand structure and binding affinity prediction that achieves 26-fold faster inference than state-of-the-art methods while improving affinity prediction accuracy by $\sim$20\%. Current deep learni... read more 
Machine Learning q-bio.BM

MaD-Mix: Multi-Modal Data Mixtures via Latent Space Coupling for Vision-Language Model Training

arXiv Feb 8, 2026
Vision-Language Models (VLMs) are typically trained on a diverse set of multi-modal domains, yet current practices rely on costly manual tuning. We propose MaD-Mix, a principled and computationally efficient framework that derives multi-modal data mi... read more 
Machine Learning

How well are open sourced AI-generated image detection models out-of-the-box: A comprehensive benchmark study

arXiv Feb 8, 2026
As AI-generated images proliferate across digital platforms, reliable detection methods have become critical for combating misinformation and maintaining content authenticity. While numerous deepfake detection methods have been proposed, existing ben... read more 
Computer Vision and Pattern Recognition cs.AI

Out of the box age estimation through facial imagery: A Comprehensive Benchmark of Vision-Language Models vs. out-of-the-box Traditional Architectures

arXiv Feb 8, 2026
Facial age estimation is critical for content moderation, age verification, and deepfake detection, yet no prior benchmark has systematically compared modern vision-language models (VLMs) against specialized age estimation architectures. We present t... read more 
Computer Vision and Pattern Recognition

DINO-Mix: Distilling Foundational Knowledge with Cross-Domain CutMix for Semi-supervised Class-imbalanced Medical Image Segmentation

arXiv Feb 8, 2026
Semi-supervised learning (SSL) has emerged as a critical paradigm for medical image segmentation, mitigating the immense cost of dense annotations. However, prevailing SSL frameworks are fundamentally "inward-looking", recycling information and biase... read more 
Image and Video Processing cs.CV
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