AI Medical Compendium

Towards reliable feature interpretation in machine learning-based longevity prediction.

Annals of epidemiology Jan 15, 2026

Machine learning frameworks for predicting pulmonary cell toxicities induced by metal ions in the atmosphere.

Environmental pollution (Barking, Essex : 1987) Jan 15, 2026

Metals in PM2.5 are closely associated with cardiopulmonary disease endpoints, potentially attributable to ionic species-induced oxidative stress effects. Computational prediction of metal ion respiratory toxicity remains challenging due to complex v... read more

Systematic optimisation of carrier particle geometry in interactive powder mixtures via a parametric design approach using Bayesian Optimisation.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Jan 15, 2026

In this study, a systematic approach for improving the carrier particle geometry in interactive mixtures was conducted. For the evaluation of the geometries, an in-silico model was used, which allowed the creation of a carrier particle loaded with dr... read more

Optimizing wastewater treatment through combined deep learning and deep reinforcement learning: Recent advances and future prospects.

Environmental research Jan 15, 2026

Wastewater treatment plants (WWTPs) are critical components of urban infrastructure, and enhancing their performance while reducing carbon emissions is essential for advancing sustainable urban development. However, WWTPs often face challenges such a... read more

Complex Interactions Between Stress, Nutrition, Gut Microbiota, and Infectious Diseases and Their Impact on Health in Global Conflicts: A Narrative Review.

The Journal of nutritional biochemistry Jan 15, 2026

Following the global recovery from the COVID-19 pandemic, wars and conflicts have escalated to levels unseen since the Cold War. It is well known that conflict is accompanied not only by significant losses among both military personnel and civilians ... read more

CvTFuse: An unsupervised medical image fusion method of gliomas T1-DWI mode.

Magnetic resonance imaging Jan 15, 2026

BACKGROUND: DWI can provide microscopic information on the diffusion of water molecules, whereas T1WI can provide high-resolution anatomical and histological information. PURPOSE: Accurately and effectively fusing different MRI modalities can precise... read more

Characterization of volatile compounds of irradiated and fermented cherry juice by SPME-GC-MS, SPME-GC × GC-MS and HS-GC-IMS combined with machine learning algorithm.

Food chemistry Jan 15, 2026

To explore the effects of irradiation and fermentation on the flavor of cherry juice, this study characterized the volatile components of cherry juice by gas chromatography-mass spectrometry (GC-MS), gas chromatography-ion mobility spectrometry (GC-I... read more

Explainable deep learning-based multiclass classification of foot radiographs into normal, plantar fasciitis, and flatfoot.

Clinical imaging Jan 15, 2026

BACKGROUND: The medial longitudinal arch plays a critical role in foot biomechanics, and its abnormalities are associated with conditions such as flatfoot and plantar fasciitis. Early and accurate diagnosis of these disorders is clinically important,... read more

Adaptive performance control of switched nonlinear systems under false data injection attacks and input saturation constraints.

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

Considering the controller-actuator channel subjected to false data injection (FDI) attacks, this study proposes an adaptive performance control strategy for switched nonlinear systems under composite disturbances and input saturation. The strategy a... read more

Deep fine-grained clustering with model reusing.