AI Medical Compendium

Characterization of vascular tortuosity throughout the murine oxygen-induced retinopathy model of ischemic retinopathy.

JCI insight Jun 2, 2026

Vascular tortuosity (VT) is a critical biomarker of disease progression and decision to treat ischemic retinal disorders, particularly retinopathy of prematurity (ROP). The murine oxygen-induced retinopathy model is the most widely-used model of isch... read more

AI-Driven Design and Clinical Translation of Nucleotide-Peptide and Peptide-Drug Conjugates.

ACS biomaterials science & engineering Jun 2, 2026

While nucleotide-peptide conjugates and peptide-drug conjugates demonstrate a considerable evolution as next-generation therapeutics, the successful translation of these complex agents relies on advances in bioconjugation strategies. By anchoring nuc... read more

Layerwise stratification and band reordering in twisted multilayer MoTe2.

Proceedings of the National Academy of Sciences of the United States of America Jun 2, 2026

We introduce a physics-informed training-data generation strategy that efficiently captures the complete interlayer interactions in multilayer moiré systems, enabling a machine-learning force field transferable across layer numbers and stacking confi... read more

Multi-omics integration reveals convergent extracellular matrix remodelling and lipid metabolic reprogramming as central axes of adipocyte differentiation from mouse embryonic stem cells.

Adipocyte Jun 2, 2026

Adipogenesis from mouse embryonic stem cells (mESCs) offers a tractable model for dissecting early adipocyte commitment, yet the mechanisms coordinating this transition across multiple biological layers remain incompletely understood. Here we present... read more

Improving Kinetic Prediction and Structural-Electronic Mechanistic Coherence in the Fenton Process via a Cross-Scale Machine-Learning Framework.

Environmental science & technology Jun 2, 2026

Accurately predicting and understanding contaminant degradation kinetics in advanced oxidation processes remains challenging due to the fragmented and even contradictory structure- and electronic-driven mechanistic interpretations, which traditional ... read more

From Empirical Ratio Tuning to Mechanistic Insight: Decoding NiO-ZnO Heterojunction Effects in Gas Sensing via Explainable Machine Learning.

ACS sensors Jun 2, 2026

P-n heterostructures have been widely recognized as an effective strategy for enhancing the sensing performance of metal oxide semiconductor gas sensors. However, the regulatory mechanism underlying the NiO-ZnO composite ratio and its influence on ga... read more

Proteomic signatures of early retinal neurodegeneration in type 2 diabetes mellitus.

PLoS medicine Jun 2, 2026

BACKGROUND: Retinal neurodegeneration is an early and independent feature of diabetic retinal disease and has been proposed as a window into the systemic neural consequences of diabetes, yet accessible molecular biomarkers and individualized predicti... read more

MEG-mod: A Multiview Enhanced Graph Neural Network for Knockdown Efficiency Prediction of Chemically Modified siRNA.

Journal of medicinal chemistry Jun 2, 2026

Chemical modification is essential for improving the stability and knockdown efficiency of siRNAs. However, the combinatorial complexity of modification types and positions makes rational design difficult. Here, we propose MEG-mod, a deep learning fr... read more

Towards Explainable Quantum AI: Informing the Encoder Selection of Quantum Neural Networks via Visualization.

IEEE transactions on visualization and computer graphics Jun 2, 2026

Quantum Neural Networks (QNNs) represent a promising fusion of quantum computing and neural network architectures, offering speed-ups and efficient processing of high-dimensional, entangled data. A crucial component of QNNs is the encoder, which maps... read more

EfficientCovNet: Modeling the Pairwise Voxel Dependency for Brain ROI Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 2, 2026

Segmenting the brain magnetic resonance (MR) images to region-of-interest (ROI) is a fundamental step for many medical image analysis tasks. Convolutional neural networks (CNNs) excel in learning the high-level contextual features for image segmentat... read more

Artificial Intelligence Medical Compendium