AI Medical Compendium

Glymphatic dysfunction in trigeminal neuralgia: A multimodal MRI study.

Neurobiology of disease Feb 8, 2026

BACKGROUND: Trigeminal neuralgia (TN) has traditionally been attributed to peripheral neurovascular compression at the trigeminal nerve root entry zone. Recent evidence, however, suggests central mechanisms may contribute to disease pathogenesis. We ... read more

Commercialization path of data-driven green catalytic technology: the application of machine learning in technology lifecycle management.

Environmental research Feb 8, 2026

In the context of the global strategy of sustainable development and carbon neutrality, green catalytic technology, as the core of achieving efficient and clean chemical conversion, has a complex and uncertain path from laboratory innovation to large... read more

[Design and synthesis of molecularly imprinted polymers and their applications in medical diagnosis and biocatalysis].

Se pu = Chinese journal of chromatography Feb 8, 2026

Molecularly imprinted technology （MIT） represents an advanced synthetic strategy that emulates biological recognition mechanisms， such as antigen-antibody or enzyme-substrate interactions， by creating three-dimensional cavity-like structures through ... read more

[Application of molecularly imprinted polymers-based sensors for determination of acute coronary syndrome biomarkers].

Se pu = Chinese journal of chromatography Feb 8, 2026

Cardiovascular diseases （CVDs） are among the leading cause of global morbidity and mortality. Due to their high prevalence and often asymptomatic progression， there is a pressing need for diagnostic tools that enable the early， accurate， and accessib... read more

Machine learning potential as a guide for eutectic in ultra-refractory multicomponent ceramics.

The Journal of chemical physics Feb 7, 2026

The experimental determination of eutectic points is a long-established and widely used technique, but it is generally only practical for systems with relatively low melting points. Many modern, promising materials, however, are ultra-refractory, wit... read more

Achieving all-atom molecular dynamics accuracy from the Poisson-Boltzmann method through machine learning.

The Journal of chemical physics Feb 7, 2026

All-atom molecular dynamics (MD) simulations are a standard tool for probing the structural and dynamical properties of biomolecular systems, but their accuracy comes at the cost of high computational demands. To overcome spatial-temporal limitations... read more

Pre-harvest and post-harvest plant-based food quality evaluation based on near-infrared spectroscopy coupled with multiscale deep ensemble learning.

Food chemistry Feb 7, 2026

Accurate assessment of internal quality attributes in pre- and post-harvest plant-based foods is essential for maturity evaluation and quality grading. Although near-infrared (NIR) spectroscopy offers rapid, non-destructive compositional analysis, re... read more

Artificial intelligence-processed colorimetric sensor based on hierarchically porous iron nanozyme for visualized, rapid, and highly-sensitive detection of carbosulfan with an outstanding detection range.

Food chemistry Feb 7, 2026

A hierarchically porous iron-based nanozyme (pFezyme) exhibiting excellent oxidase (OXD)-like activity was successfully synthesized. Carbosulfan decomposes to release sulfide groups (-SH), which significantly diminish the OXD-like activity of nanozym... read more

Machine learning for detection of subclinical mastitis: A Bayesian approach incorporating diagnostic test properties.

Preventive veterinary medicine Feb 7, 2026

The large amount of data collected through automatic milking systems (AMS) may be used for early detection of intramammary infections and become instrumental for monitoring udder health in dairy herds. Machine learning (ML) techniques can aid in impr... read more

A Multimodal Fusion Model of Radiomics and Deep Learning Integrating the Tumor Microenvironment Accurately Predicts Pathological Complete Response in Breast Cancer.

Academic radiology Feb 7, 2026

BACKGROUND: Pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) is a critical prognostic marker in breast cancer, yet its prediction remains challenging due to tumor heterogeneity and limitations of conventional imaging. While radi... read more

Artificial Intelligence Medical Compendium