AI Medical Compendium

Physics-informed deep learning for molecular solubility prediction: integrating thermodynamic constraints with neural network architectures.

Scientific reports Apr 27, 2026

MetaXVP: an interpretable machine learning framework for deep insight into variant pathogenicity and VUS classification.

Scientific reports Apr 27, 2026

The interpretation and classification of nonsynonymous single nucleotide variants (nsSNVs) remains a significant challenge in clinical genomics particularly for variants of uncertain significance (VUS). Although many computational methods have been d... read more

Telomere-to-Telomere Assembly Using HERRO-Corrected Simplex Nanopore Reads.

Nature Apr 27, 2026

Telomere-to-telomere (T2T) phased assemblies are emerging as a benchmark for reference-quality genomes1,17, though they remain technically and financially demanding, particularly at scale. Generating such assemblies for diploid and polyploid genomes ... read more

Analytical methods and Riccati neural networks method of Kudryashov's quintuple self-phase modulation with dual-form of generalized nonlocal nonlinearity.

Scientific reports Apr 27, 2026

Intelligent pavement management: a machine learning framework for condition classification and maintenance prioritization.

Scientific reports Apr 27, 2026

A methodological assessment of information complementarity between MRI and GAN-based synthetic PET for multimodal medical image analysis.

Scientific reports Apr 27, 2026

Multimodal medical imaging aims to enhance analysis by combining complementary anatomical and functional information. However, access to functional modalities such as positron emission tomography (PET) is limited in many clinical settings, prompting ... read more

Adaptive battery state-of-health estimation for electric vehicles under diverse driving styles using reinforcement learning.

Scientific reports Apr 27, 2026

nnLoGoNet: a hybrid local-global network for retinal vessel segmentation with Skeleton Recall Loss.

Scientific reports Apr 27, 2026

Retinal vessel segmentation is a fundamental task in ophthalmic image analysis, playing a critical role in disease screening and clinical diagnosis. However, accurately delineating fine-grained micro-vessels while preserving global topological integr... read more

Distributed trust-driven intelligence for edge-level prediction in mobile industrial internet of things.

Scientific reports Apr 27, 2026

Integrating innovative technologies with future networks enables significant advances in real-time distributed systems. The Industrial Internet of Things (IIoT) and edge computing enable communication devices to handle time-constrained services in cr... read more

Graph-based understanding of isomeric diversity in complex dissolved organic matter.

Communications chemistry Apr 27, 2026

Characterizing the isomeric diversity of molecular formulas (MFs) in dissolved organic matter (DOM) is essential for advancing research across environmental and biomedical sciences. Ultra-high-resolution mass spectrometry (UHR MS), particularly when ... read more

Artificial Intelligence Medical Compendium

Physics-informed deep learning for molecular solubility prediction: integrating thermodynamic constraints with neural network architectures.

MetaXVP: an interpretable machine learning framework for deep insight into variant pathogenicity and VUS classification.

Telomere-to-Telomere Assembly Using HERRO-Corrected Simplex Nanopore Reads.

Analytical methods and Riccati neural networks method of Kudryashov's quintuple self-phase modulation with dual-form of generalized nonlocal nonlinearity.

Intelligent pavement management: a machine learning framework for condition classification and maintenance prioritization.

A methodological assessment of information complementarity between MRI and GAN-based synthetic PET for multimodal medical image analysis.

Adaptive battery state-of-health estimation for electric vehicles under diverse driving styles using reinforcement learning.

nnLoGoNet: a hybrid local-global network for retinal vessel segmentation with Skeleton Recall Loss.

Distributed trust-driven intelligence for edge-level prediction in mobile industrial internet of things.

Graph-based understanding of isomeric diversity in complex dissolved organic matter.

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