AI Medical Compendium

Quantification of nitrite in beverages and pickled foods with a high-sensitivity amperometric biosensor enhanced by a multilayer perceptron neural network.

Analytical methods : advancing methods and applications Mar 12, 2026

Accurate nitrite detection in beverages and pickled foods is crucial for food safety but remains challenging due to matrix complexity, particularly interference from salinity. To address this, a highly sensitive electrochemical sensor was constructed... read more

ET-Pfam: Ensemble transfer learning for protein family prediction.

Bioinformatics (Oxford, England) Mar 12, 2026

MOTIVATION: Due to the rapid growth of sequence generation, which has surpassed the expert curators ability to manually review and annotate them, the computational annotation of proteins remains a significant challenge in bioinformatics nowadays. The... read more

Biological patterns and textures: From formation mechanisms to biomimetic applications.

Journal of the mechanical behavior of biomedical materials Mar 12, 2026

Through prolonged evolutionary processes, biological structures have developed highly intricate patterns and textures. These configurations not only confer exceptional mechanical properties to organisms but also significantly enhance their functional... read more

Enhanced pneumonia prognosis via a hybrid deep learning ensemble: Dense Net, Efficient Net, and VGG16 integration.

Computational biology and chemistry Mar 12, 2026

Pneumonia, a prevalent and potentially life-threatening lung infection, requires rapid and precise diagnosis for effective treatment. Conventional clinical methods are often time-consuming and may lack reliability. In this study, we propose a novel d... read more

Developing Synthetic Orthopantomogram Datasets Through Generative Models.

International dental journal Mar 12, 2026

OBJECTIVE: To generate synthetic Orthopantomograms (OPGs) using generative Artificial Intelligence (AI) models and to evaluate the realism of synthetic images through assessments by humans as well as AI models. METHODOLOGY: This study conducted at Ag... read more

FTIR spectroscopy of peripheral blood mononuclear cells and machine learning: Spectral biomarkers for bacteremia, focal bacterial, and viral infections.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Mar 12, 2026

The rapid and accurate differentiation of bacteremia, focal bacterial infections (FBI), and viral illnesses in febrile immunocompromised patients is a critical unmet clinical need that directly impacts antibiotic stewardship. While host-response diag... read more

J³SPM AI: An integrated open-source platform for AI-assisted image analysis and image-guided workflows in scanning probe microscopy.

Micron (Oxford, England : 1993) Mar 12, 2026

Scanning probe microscopy (SPM), particularly atomic force microscopy (AFM), is essential for characterizing materials at the nanometer scale. However, practical challenges such as image quality degradation and throughput limitations persist, even wi... read more

The Quality of Artificial Intelligence Chatbot Responses to Patient Questions on Surgical Infection Prevention.

American journal of infection control Mar 12, 2026

BACKGROUND: As patients increasingly turn to artificial intelligence (AI) chatbots for medical information, concerns remain regarding the accuracy, transparency, and readability of these tools. This study aimed to comparatively assess the quality, re... read more

Based on WGCNA and machine learning studies, SMURF2 drives NSCLC malignant transformation, ferroptosis, and macrophage polarization by ubiquitinating SPP1.

Gene Mar 12, 2026

BACKGROUND: Non-small cell lung cancer (NSCLC) is a common type of lung cancer with poor prognosis and high mortality in advanced stages. Although secreted phosphoprotein 1 (SPP1) is associated with the progression of NSCLC, its specific mechanisms r... read more

A neurofeedback-guided EEG and BCI framework for personalized attention rehabilitation in ADHD.

Neuroscience Mar 12, 2026

The integration of game-based cognitive training with electroencephalography (EEG)-based brain-computer interaction (BCI) has demonstrated potential for enhancing attention among individuals with attention-deficit hyperactivity disorder (ADHD). Howev... read more

Artificial Intelligence Medical Compendium