AI Medical Compendium

[Plasma proteomics in age-related macular degeneration].

Die Ophthalmologie Mar 10, 2026

BACKGROUND: Neovascular age-related macular degeneration (nAMD) shows a heterogeneous treatment response to anti-vascular endothelial growth factor (VEGF), but the underlying mechanisms remain poorly understood. Classical approaches focus on single b... read more

Towards "greener" strategies in quality control: rapid volatilomics of cocoa based on HS-GC-IMS and machine learning.

Analytical and bioanalytical chemistry Mar 10, 2026

Gas chromatography-ion mobility spectrometry (GC-IMS) has emerged as a powerful analytical platform in quality control of food, beverages, and flavor products. The technology allows for point-of-care application without the need for sample preparatio... read more

Ensemble and temporal feature-based framework for rainfall classification in Bangladesh.

PloS one Mar 10, 2026

Accurate rainfall classification is essential for Bangladesh, where monsoon variability strongly influences agriculture, water resource management, and disaster preparedness. This study proposes a robust machine learning framework for rainfall intens... read more

Deep learning as a generator of sodium channel state hypotheses.

The Journal of general physiology Mar 10, 2026

Lopez-Mateos et al. show that AlphaFold 2 can generate structural ensembles of NaV channels and that β-subunits and calmodulin reshape these ensembles, while emphasizing that these are testable structural hypotheses, not actual thermodynamic populati... read more

Machine learning and logistic regression in estimating survival in patients with high-malignant deep-seated soft tissue sarcomas: development and analysis based on a population-based retrospective cohort.

Acta orthopaedica Mar 10, 2026

BACKGROUND AND PURPOSE: Soft tissue sarcomas are a heterogeneous group of malignant tumors with a high risk of metastasis, primarily to the lungs, making accurate survival prediction an essential part of long-term planning. No machine learning (ML) ... read more

Task-Based Sampling of Patient Data for Rigorous Machine Learning/AI Performance Assessment.

Journal of imaging informatics in medicine Mar 10, 2026

To assess the performance of an AI algorithm, an independent dataset is needed that matches the intended clinical claim and intended population (e.g., patient characteristics) for which the algorithm is meant. Using all available data for performance... read more

[Digital transformation in endocrinology/diabetology, pneumology, and hematology/oncology : Where do we stand today-and what lies ahead?].

Innere Medizin (Heidelberg, Germany) Mar 10, 2026

As in many areas of medicine, increasing digitalisation is also having an impact on everyday practice in internal medicine, entailing both enormous potential and major challenges. As an interdisciplinary field, usually in cooperation with pneumology,... read more

AI-powered radiogenomics: imaging-driven diagnosis and discovery of cancer's molecular and cellular landscape.

Molecular genetics and genomics : MGG Mar 10, 2026

Staphylococcus aureus resistance to non-β-lactam antibiotics: global genomic epidemiology and machine learning feasibility assessment.

Molecular genetics and genomics : MGG Mar 10, 2026

Staphylococcus aureus is increasingly resistant to β-lactam antibiotics, making non-β-lactam cell-wall-targeting drugs crucial alternatives. Growing resistance to these agents highlights the need to identify genomic factors influencing susceptibility... read more

Comparative performance of machine learning models in predicting childhood diarrhea: implications for public health surveillance.

The Journal of the Egyptian Public Health Association Mar 10, 2026

Artificial Intelligence Medical Compendium