Artificial Intelligence Medical Compendium

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

Showing 16,841 to 16,850 of 213,633 articles

Artificial Intelligence Based High Resolution Melting Analysis for Comprehensive Calreticulin Mutation Screening and Novel Variant Detection in Myeloproliferative Neoplasms.

International journal of laboratory hematology
INTRODUCTION: Current CALR mutation screening in myeloproliferative neoplasms (MPNs) faces a trade-off between coverage and cost: allele-specific qPCR and fragment analysis are inexpensive but cover only part of the variant landscape, while sequencin... read more 

Unsupervised visual learning is revealed for task-irrelevant natural scenes due to reduced attentional suppression effects in visual areas.

Nature communications
Unsupervised learning-learning through repeated exposure without instruction or reward-is central to both machine learning and human cognition, including language acquisition and statistical learning. However, its role in visual perceptual learning (... read more 

Inherent MS-cleavability of diazirine photo-cross-links enables residue-level structural analysis.

Nature communications
Cross-linking mass spectrometry (XL-MS) is a powerful tool for probing protein structures and protein-protein interactions. While chemical cross-linkers target specific residues with defined chemistry, photo-cross-linkers offer superior reactivity bu... read more 

Compact photonic spiking neuron with inherent stochasticity based on phase-change material for probabilistic computing.

Nature communications
Introducing probabilistic models into photonic neural networks, harnessing high-throughput and low-latency performance of photons, holds great promise for Bayesian inference. Photonic spiking neurons with stochasticity are essential to realize probab... read more 

A global mantle xenolith bulk-rock and paired-mineral dataset.

Scientific data
This data descriptor presents a globally compiled dataset of major element concentrations for mantle peridotite and pyroxenite xenoliths. The dataset includes whole-rock analyses, constituent mineral compositions, manually collated sample ages, and p... read more 

Supervised machine learning identifies impaired mitochondrial quality control in β-cells with development of type 2 diabetes.

NPJ systems biology and applications
Defining molecular pathways driving β-cell failure in type 2 diabetes (T2D) is challenging given donor heterogeneity. We developed an interpretable machine learning framework coupling sparse rule-based classification, pathway constrained modeling, an... read more 

A longitudinal whole-body CT dataset with manually annotated tumor lesions.

Scientific data
We introduce Longitudinal-CT, a publicly available resource of whole-body computed tomography (CT) studies with exhaustive expert manual annotations of tumor lesions across two timepoints. The dataset comprises 600 CT studies from 300 patients diagno... read more 

Explainable attention-based neural network for load forecasting in super smart grids using socioeconomic and power consumption data.

Scientific reports
Super Smart Grids (SSG) aim to provide large-scale, multi-zonal electricity access while dynamically balancing supply and demand. However, their implementation faces multidisciplinary challenges that range from ensuring grid stability to avoiding str... read more 

A blockchain-secured 6G smartgrid framework for resilient renewable energy integration and intelligent anomaly detection.

Scientific reports
The integration of intermittent renewable energy into smart grids introduces critical vulnerabilities in security, transparency, and real-time resilience. This paper presents a novel blockchain-secured 6G Smart grid framework that synergistically int... read more