AI Medical Compendium

A comprehensive soil pollution monitoring system based on convolutional recursive sequence network and terahertz spectroscopy.

Analytica chimica acta Jan 16, 2026

BACKGROUND: Accurate analysis of the total amount of heavy metals and their distribution patterns in soil can aid in determining the extent of soil pollution and iake appropriate remediation measures.Traditional detection methods are inefficient, and... read more

Development of a machine learning model to predict intensive care unit bed demand for adult elective surgical patients at a large United Kingdom National Health Service Trust.

BJA open Jan 16, 2026

BACKGROUND: Elective surgical admissions form a growing share of demand for ICU beds, a constrained resource. Capacity planning for these admissions is feasible, but hospitals often lack reliable systems estimating daily elective surgical ICU bed dem... read more

Graph-Agnostic Linear Transformers.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2026

Graph Transformers (GTs), as emerging foundational encoders for graph-structured data, have shown promising performance due to the integration of local graph structures with global attention mechanisms. However, the complex attention functions and th... read more

Towards open-set myoelectric gesture recognition via dual-perspective inconsistency learning.

Computer methods and programs in biomedicine Jan 16, 2026

BACKGROUND AND OBJECTIVE: Gesture recognition based on surface electromyography (sEMG) has achieved significant progress in human-machine interaction (HMI), especially in prosthetic control and movement rehabilitation. However, accurately recognizing... read more

Substrate-mediated trade-offs between pollutant removal efficiency and ecological risks in constructed wetlands treating multi-antibiotic wastewater.

Water research Jan 16, 2026

The environmental dissemination of antibiotic resistance genes (ARGs) is a cornerstone of the One Health crisis, linking human, animal, and environmental health. Engineered ecosystems, such as constructed wetlands (CWs), are critical for water purifi... read more

Dual-representation structural MRI classification of psychiatric disorders using deep learning and large language models.

Psychiatry research. Neuroimaging Jan 16, 2026

Accurate differentiation among psychiatric disorders such as schizophrenia and bipolar disorder remains a significant clinical challenge due to overlapping symptoms and subtle neuroanatomical variations. This study proposes a dual-representation stru... read more

Activating the SDF-1/CXCR4 axis: Notoginsenoside R1-Functionalized zinc scaffolds accelerate fracture healing and angiogenesis in diabetic osteoporosis.

Biomaterials Jan 16, 2026

Effective treatment of diabetic osteoporotic fractures (DOF) requires biomaterials capable of promoting vascularized bone regeneration. A biodegradable porous zinc (Zn) scaffold incorporating sustained-release Notoginsenoside R1 (NGR1), referred to a... read more

Siamese networks in Raman spectroscopy: Towards a better performance against replicate variability.

Talanta Jan 16, 2026

The power of Raman spectroscopy is largely enhanced by machine learning and chemometrics, which extract and translate the spectral features into high-level biological or clinical knowledge by constructing classical or deep learning models. The genera... read more

CoCoFR: Collaborative codebooks learning with soft matching strategy for blind face restoration.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2026

Blind Face Restoration (BFR) has garnered considerable attention for its practical applicability to recover high-quality (HQ) facial images from their degraded versions. Existing BFR methods primarily incorporate diverse priors to mitigate its ill-po... read more

NAR Broad Learning System for dynamical systems prediction.

Neural networks : the official journal of the International Neural Network Society Jan 15, 2026

Dynamical systems evolve over time, and predicting their behavior is difficult because of their complex spatiotemporal relationship. Although data-driven models have achieved great success in dynamical system analysis, extracting temporal dynamic and... read more

Artificial Intelligence Medical Compendium