AI Medical Compendium

Faecal microbiome profiling uncovers putative biomarkers for piglets resilient to post-weaning diarrhoea.

Animal microbiome Feb 24, 2026

Acute respiratory infections prediction through social media data and machine learning: a systematic review.

BMC medical informatics and decision making Feb 24, 2026

Enhancing prostate cancer diagnosis: a machine learning-based biomarker approach.

Human genomics Feb 24, 2026

Automated Melanocytic Lesion Classification: Capsule Networks Trained With Synthetic Images Can Outperform Networks Trained With Real Images.

The Australasian journal of dermatology Feb 24, 2026

BACKGROUND/OBJECTIVES: Convolutional neural networks (CNNs) are known, due to inherent flaws in their design, to be subject to classification error. Many of these shortcomings in classification performance were addressed in 2017 with the introduction... read more

molSimplify 2.0: Improved Structure Generation for Automating Discovery in Inorganic Molecular and Reticular Chemistry.

Journal of chemical information and modeling Feb 24, 2026

We provide an overview of core molSimplify code functionality and recent updates that enhance its capabilities for automated molecular and materials modeling. We describe the mol3D and atom3D classes, which store atomic and bonding information for a ... read more

Automated Identification of Accessory Mental Foramen Using Cone-Beam Computed Tomography and Convolutional Neural Networks.

International dental journal Feb 24, 2026

INTRODUCTION AND AIMS: To develop and evaluate a deep learning-based system for automatic detection of the accessory mental foramen (AMF) using cone-beam computed tomography (CBCT) images, and to compare the detection accuracy and clinical reliabilit... read more

Bayesian hierarchical modeling of oil toxicity in fish early life stages: Supporting oil-spill risk assessments in data-scarce situations.

Marine pollution bulletin Feb 24, 2026

The retrospective nature of oil-spill impact assessments has led to uneven data availability across fish species and oil types, increasing uncertainty in parameter estimates and limiting the reliability of toxicity models. To address this, we applied... read more

Salvianolic acid C attenuates liver fibrosis and inhibites hepatic stellate cell activation by targeting FAP/TβRI/SMAD axis.

International immunopharmacology Feb 24, 2026

BACKGROUND: Liver fibrosis remains a major clinical challenge with limited effective therapeutic options. Salvianolic acid C (SAC), a major water-soluble compound derived from Salvia miltiorrhiza, has shown anti-fibrotic activity in various disease m... read more

Machine learning derived proliferating T cell-related signature: a novel biomarker for prognosis and treatment efficacy in clear cell renal cell carcinoma.

International immunopharmacology Feb 24, 2026

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) exhibits profound molecular heterogeneity, and reliable biomarkers for predicting clinical outcomes are urgently needed. Proliferating T cells (Tprolif) are central to immune system activation but t... read more

Emily vs. Lakisha: Quantifying socioeconomic and structural disparities in AI-generated ovarian cancer care plans.

Gynecologic oncology Feb 24, 2026

BACKGROUND: Rapid integration of Large Language Models (LLMs) into oncology workflows mandates scrutiny of implicit biases that may exacerbate health inequities. This study quantifies structural biases in LLM-generated referral plans for Advanced Ova... read more

Artificial Intelligence Medical Compendium