AI Medical Compendium

A Sensor Array Composed of Organelle-Targeting Fluorescent Probes and Polydopamine Particles for Deep Learning-Assisted Identification and Ablation of Drug-Resistant Lung Tumors.

Analytical chemistry Aug 5, 2025

Lung cancer, a leading cause of global cancer-related mortality, predominantly features nonsmall cell lung cancer (NSCLC), constituting 80% of all lung malignancies. Despite chemotherapy being the primary NSCLC treatment, the emergence of drug resist... read more

Data-Guided Exploration of Process Control in Carbon-Based Catalyst Design for Two-Electron Oxygen Reduction.

Langmuir : the ACS journal of surfaces and colloids Aug 5, 2025

Electrochemical hydrogen peroxide (HO) synthesis via the two-electron oxygen reduction reaction (2e ORR) is a promising alternative to the energy-intensive and high-pollution anthraquinone oxidation process. Identifying a carbon-based electrocatalyst... read more

A Deep Learning Model for Predicting the Cement Soil Deformation Modulus.

Langmuir : the ACS journal of surfaces and colloids Aug 5, 2025

Cement, widely used for backfill grouting in shield tunnels, plays a crucial role in maintaining the stability of tunnel structures. To enhance the prediction of cement performance, this study focuses on the elastic modulus () and introduces a novel ... read more

More-than-Moore Approaches Implemented Using van der Waals Heterostructures.

ACS nano Aug 5, 2025

Two-dimensional (2D) materials and van der Waals (vdW) heterostructures have emerged as key enablers in addressing the fundamental limitations of silicon-based technologies, driving advancements in next-generation electronic systems. Their high carri... read more

AI-Enhanced SERS with Probe Combinations for Concurrent Identification and Quantification of Coexisting Metal Ions in Water.

Environmental science & technology Aug 5, 2025

Efficient and simultaneous detection of coexisting metal ions is essential for preserving water quality and mitigating ecological risks during environmental emergencies. However, traditional methods often fall short, either lacking the sensitivity re... read more

Antiaromaticity-Promoted Radical Stability in Boryl Heterocyclics and Its Application to Dinitrogen Activation: A Combined DFT and Machine Learning Study.

The journal of physical chemistry. A Aug 5, 2025

Aromaticity is one of the fundamental concepts in chemistry and generally brings additional thermodynamic stability to a compound. On the other hand, boron radicals have attracted increasing interest from both theoretical and experimental chemists du... read more

Computational investigation of water glasses using machine-learning potentials.

Proceedings of the National Academy of Sciences of the United States of America Aug 5, 2025

The molecular origins of water's anomalous properties have long been a subject of scientific inquiry. The liquid-liquid phase transition hypothesis, which posits the existence of distinct low-density and high-density liquid states separated by a firs... read more

A lightweight hybrid DL model for multi-class chest x-ray classification for pulmonary diseases.

Biomedical physics & engineering express Aug 5, 2025

Pulmonary diseases have become one of the main reasons for people's health decline, impacting millions of people worldwide. Rapid advancement of deep learning has significantly impacted medical image analysis by improving diagnostic accuracy and effi... read more

Humans Neural Networks, Computer Machine Learning COVID-19 Algorithms SARS-CoV-2 Lung Deep Learning Image Processing, Computer-Assisted Support Vector Machine Pneumonia Radiographic Image Interpretation, Computer-Assisted Lung Diseases Radiography, Thoracic

Image space formalism of convolutional neural networks for k-space interpolation.

Magnetic resonance in medicine Aug 5, 2025

PURPOSE: Noise resilience in image reconstructions by scan-specific robust artificial neural networks for k-space interpolation (RAKI) is linked to nonlinear activations in k-space. To gain a deeper understanding of this relationship, an image space ... read more

AI-driven framework for automated detection of kidney stones in CT images: integration of deep learning architectures and transformers.