AI Medical Compendium

Machine learning-assisted detection of canine mammary tumors using serum autoantibody signatures.

The veterinary quarterly Jan 21, 2026

Canine mammary tumors (CMTs) are the most common neoplasms in intact female dogs, yet early detection remains challenging due to the lack of clinically validated, noninvasive biomarkers. This study aimed to develop a noninvasive diagnostic model for ... read more

Assessing ChatGPT as an Educational Tool for Image Generation in Dermatology.

Journal of cutaneous medicine and surgery Jan 21, 2026

Targeted SERS Nanoparticle Accumulation on Bacteria Enables On-Site Accurate Vibrio Typing in 10 min with AI-Powered SERS.

Nano letters Jan 21, 2026

Vibrio infections progress rapidly with high mortality, yet current diagnostics fail to meet the critical need for rapid, accurate, and field-deployable detection. To bridge this gap, we present a bioreceptor-free, AI-powered surface-enhanced Raman s... read more

Machine Learning Model Predicts Recurrent Clostridioides difficile Infection in Patients With Inflammatory Bowel Disease (Recur CDI-IBD).

The American journal of gastroenterology Jan 21, 2026

INTRODUCTION: Clostridioides difficile infection (CDI) present a significant challenge in patients with inflammatory bowel disease (IBD), with high recurrence rates and complications. Predicting recurrent CDI (rCDI) in IBD patients is crucial for imp... read more

High-Data-Density, High-Decoding-Speed, and High-Decoding-Accuracy DNA Data Ink for Digital Preservation.

ACS nano Jan 21, 2026

DNA-based storage offers exceptional information density, durability, and energy efficiency compared to conventional digital media, yet practical implementation faces challenges including high synthesis costs, sequencing errors, and slow access speed... read more

Recent Advances of Optical Sensing Arrays (2019-2025): From Design of Optical Elements to Multidimensional Analysis for Applications.

Analytical chemistry Jan 21, 2026

Optical sensor arrays have emerged as a powerful paradigm for high-throughput, multiplexed analysis, overcoming the limitations of traditional single-analyte sensing by leveraging cross-reactive elements to generate distinct multidimensional response... read more

Diagnostic Accuracy of Deep Learning Models in Detecting Peri-Implant Marginal Bone Loss: A Systematic Review and Meta-Analysis.

Clinical oral implants research Jan 21, 2026

BACKGROUND: Peri-implantitis is a common implant complication requiring early detection to prevent bone loss and implant failure. Deep learning models show promise for enhancing radiographic diagnosis. OBJECTIVES: This review systematically evaluated... read more

CompBind: Complex Guided Pretraining-Based Structure-Free Protein-Ligand Affinity Prediction.

Journal of chemical information and modeling Jan 21, 2026

Accurate prediction of protein-ligand binding affinity is essential in drug discovery. However, the limited availability and high cost of experimentally resolved protein-ligand complex structures significantly hinder the generalizability and broad ap... read more

Letter to the Editor on "Research on the auxiliary diagnosis of male neurogenic lower urinary tract dysfunction based on a deep-learning algorithm".

International journal of surgery (London, England) Jan 21, 2026

PTET-DDI: Dual-Channel Drug-Drug Interaction Prediction with a Pre-Trained Language Model and Equivariant Graph Transformer.

ACS synthetic biology Jan 21, 2026

Combination therapy is widely used in clinical practice, rendering accurate prediction of drug-drug interactions (DDIs) essential for treatment safety and efficacy. This paper proposes PTET-DDI, a novel dual-channel framework that synergizes chemical... read more

Artificial Intelligence Medical Compendium