AI Medical Compendium

MRI- and report-based multimodal model with SHAP-based explanation for preoperative prediction of deep stromal invasion in early-stage cervical cancer.

Insights into imaging May 15, 2026

OBJECTIVES: Depth of stromal invasion (DSI) is a key prognostic factor significantly influencing treatment decisions in early-stage cervical cancer (ESCC). This study aims to develop an explainable multimodal data fusion model integrating MRI, radiol... read more

Machine-Learning-Based Prediction of Long-Term Efficacy of Nemolizumab: Post Hoc Analysis of Pooled Data from Two Phase III Clinical Trials.

Dermatology and therapy May 15, 2026

INTRODUCTION: Nemolizumab is a humanized monoclonal antibody that specifically inhibits the receptor for interleukin-31, the major pruritogen in atopic dermatitis (AD). While the patient profile associated with the early therapeutic response to nemol... read more

Metabolomics at the Crossroads of Forensic Toxicology and Precision Diagnostics: Analytical Innovations and Translational Opportunities.

Omics : a journal of integrative biology May 15, 2026

Metabolomics is the comprehensive analysis of small-molecule metabolites in living systems and is increasingly being applied in forensic science and health diagnostics. This review broadly integrates the foundational principles of metabolomics, key a... read more

Noninvasive early detection and grading of pneumoconiosis via plasma proteomics and machine learning: PRSS3 as a potential biomarker.

Clinical proteomics May 15, 2026

BACKGROUND: Coal-dust, a persistent airborne pollutant, induces dose-related pulmonary fibrosis; however, plasma biomarkers for pre-clinical toxicity remain lacking. METHODS: We enrolled 158 participants, including 28 healthy controls (HCs), 30 dust-... read more

Operational mechanisms and application advances in artificial olfactory systems.

Biomedical engineering online May 15, 2026

Artificial olfactory systems represent biomimetic platforms that emulate biological olfaction for volatile compound detection and discrimination. Biological olfaction achieves efficient perception through the specific binding of volatile molecules to... read more

Hope and fear in AI-based language teaching: opportunities, challenges, and emotions.

BMC psychology May 15, 2026

The integration of artificial intelligence (AI) into second and foreign language (L2) education has increased significantly; however, its emotional impact on teachers remains underexplored, particularly in less commonly taught languages (LCTL) such a... read more

Construction of a predictive model for the risk of non-alcoholic fatty liver disease in patients with sleep apnea syndrome based on multiple machine learning algorithms: a multicenter study.

BMC medical informatics and decision making May 15, 2026

BACKGROUND: Sleep apnea syndrome (SAS) is closely related to an increased risk of non-alcoholic fatty liver disease (NAFLD), but current clinical tools lack the integration of multidimensional data for accurate risk prediction. This study employs var... read more

Integrative bioinformatics and machine learning reveal an association of LTF and MMP8 with systemic inflammation and lung injury.

Respiratory research May 15, 2026

BACKGROUND: Acute lung injury and its severe form, acute respiratory distress syndrome (ARDS), represent life-threatening conditions with high mortality rates. Since the lung is the primary target organ in systemic inflammatory conditions like sepsis... read more

Coxmos: interpretable survival models for high-dimensional and multi-omic data.

BioData mining May 15, 2026

BACKGROUND: Survival analysis in high-dimensional (HD) and multi-block (MB) settings, such as omic and multi-omic studies, poses major methodological challenges due to multicollinearity, low events-per-variable ratios, and limited model interpretabil... read more

Deep learning for assay nuisance compound detection using a gated co-attention graph embedding model (CAGE-Fusion).

Journal of cheminformatics May 15, 2026

In drug discovery, nuisance compounds are chemicals that interfere with biochemical or cell-based assays, often generating misleading signals unrelated to true activity. These molecules operate through diverse, context-dependent mechanisms, ranging f... read more

Artificial Intelligence Medical Compendium