Artificial Intelligence Medical Compendium

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

Showing 45,031 to 45,040 of 224,055 articles

SPRINT: Semi-supervised Prototypical Representation for Few-Shot Class-Incremental Tabular Learning

arXiv Mar 4, 2026
Real-world systems must continuously adapt to novel concepts from limited data without forgetting previously acquired knowledge. While Few-Shot Class-Incremental Learning (FSCIL) is established in computer vision, its application to tabular domains r... read more 
Computer Vision and Pattern Recognition cs.AI

Impact of Deep Learning-Based Time-of-Flight PET Images of Small Tumors Using a Human Anatomic Phantom.

Journal of nuclear medicine technology Mar 4, 2026
Time-of-flight (ToF) in PET improves image quality by enhancing the signal-to-noise ratio, and recent deep learning (DL)-based ToF (DL-ToF) methods further enhance tumor visibility and reduce noise. This study quantitatively investigates the effects ... read more 

Enhanced PPG-based stress recognition: a transfer learning approach to internal vs. external stress.

Physiological measurement Mar 4, 2026
Objective.To develop a comprehensive physiological dataset for assessing internal and external stress and to propose robust automated stress recognition methods based on photoplethysmographic (PPG) signals.Approach.We established the Internal and Ext... read more 

The FAIRSCAPE AI-readiness Framework for Biomedical Research

bioRxiv Mar 4, 2026
Objective: Biomedical datasets intended for use in AI applications require packaging with rich pre-model metadata to support model development that is explainable, ethical, epistemically grounded and FAIR (Findable, Accessible, Interoperable, Reusabl... read more 
bioinformatics

Likelihood-Free Parameter Inference for Spatiotemporal Stochastic Biological Models using Neural Posterior Estimation

bioRxiv Mar 4, 2026
Cell migration is a key biological process underlying wound healing, tissue development, and cancer metastasis, yet calibrating mathematical models of migration to experimental data remains a major challenge. Scratch and barrier assays are widely use... read more 
systems biology

On improving experimental binding affinity predictions with synthetic data

bioRxiv Mar 4, 2026
The success of deep learning binding affinity prediction models depends critically on expanding experimental data with reliable synthetic data. We extend the Structurally Augmented IC50 Repository (SAIR) with {approx}80K absolute free energy perturba... read more 
molecular biology

Wiz regulates clustered protocadherin genes by restricting CTCF/cohesin loop extrusion in a genomic-distance biased manner

bioRxiv Mar 4, 2026
Zinc finger (ZF) proteins (ZFPs) constitute the largest family of transcription factors in mammals; however, their regulatory mechanism remains largely elusive. Here we propose COP (C2H2-ZFP occupancy predictor), a deep learning framework that integr... read more 
cell biology

A human iPS cell line for ready-to-use human iAstrocytes that support human neurons

bioRxiv Mar 4, 2026
Human iPSC-derived neuronal networks are increasingly being employed in basic and applied research to enhance translation. Astrocytes are essential for neuronal network function, but are often not included, or replaced with mouse astrocytes, which co... read more 
neuroscience

Molecular and phenotypic footprints of climate in native Arabidopsis thaliana

bioRxiv Mar 4, 2026
Climate change poses a major threat to humanity by driving biodiversity loss and reducing crop yields. To understand the molecular and developmental impacts of rising temperatures, plant science has relied heavily on the model organism Arabidopsis th... read more 
plant biology

LLMsFold: Integrating Large Language Models and Biophysical Simulations for De Novo Drug Design

bioRxiv Mar 4, 2026
The discovery of novel small molecules is challenging because of the vastness of chemical space and the complexity of protein-ligand interactions, leading to low success rates and time-consuming workflows. Here, we present LLMsFold, a computational f... read more 
bioinformatics
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