AI Medical Compendium

Precision harvest: path to genetically modified organism-free crops with CRISPR by 2035.

Trends in plant science Mar 18, 2026

Recent advances in clustered regularly interspaced short palindromic repeats (CRISPR) technology enable precise genetic modifications and produce genetically modified organism -free crops that match consumer preferences. By 2035, we will be able to c... read more

Trust, truth and transparency: analysing the references underpinning AI-generated surgical information.

Annals of the Royal College of Surgeons of England Mar 18, 2026

INTRODUCTION: Artificial intelligence (AI) chatbots, powered by large language models, are used increasingly for disseminating surgical information, but concerns about accuracy, hallucinations and source reliability persist. This study evaluates the ... read more

Development and Interpretation of a Machine Learning-Based Predictive Model Using Clinical Parameters for Eosinophilic Chronic Rhinosinusitis With Nasal Polyps.

American journal of rhinology & allergy Mar 18, 2026

ObjectiveWe aim to predict eosinophilic chronic rhinosinusitis with nasal polyps (ECRSwNP) employing preoperative clinical parameters and machine learning algorithms, evaluating, and selecting the optimal model.MethodsRetrospective collection of preo... read more

A Fluorescent Palladium-Ligand Platform for In Situ Monitoring and Bayesian Optimization of Sonogashira Coupling Reactions.

Analytical chemistry Mar 18, 2026

Palladium-catalyzed coupling reactions are indispensable tools for carbon-carbon bond formation, yet their optimization and real-time monitoring remain challenging in homogeneous catalytic systems. Herein, we report a multifunctional fluorescent liga... read more

Predicting dental implant failure using machine learning: comparative evaluation of Random Forest, gradient boosting, and logistic regression with feature importance analysis.

Computer methods in biomechanics and biomedical engineering Mar 18, 2026

Dental implant failure is influenced by anatomical, systemic, and procedural factors. This study assessed the predictive value of machine learning models: logistic regression, Random Forest, and gradient boosting, using an open-access dataset (Liu et... read more

Machine Learning for Predicting Colorectal Cancer-Specific Mortality: The Role of Socioeconomic Inequalities in Public Policy.

ANZ journal of surgery Mar 18, 2026

BACKGROUND: Colorectal cancer remains a leading cause of mortality worldwide. We investigated whether adding socioeconomic information to machine learning models can improve the prediction of colorectal cancer-specific mortality. METHODS: Using data ... read more

Hard-Soft Acid-Base Principle Drives Rational Synthesis of Super-Dense Rare-Earth-Based Diatomic Sites.

Journal of the American Chemical Society Mar 18, 2026

Diatomic catalysts (DACs) hold inherent superiority in atomic economy and synergistic catalysis for complex multi-intermediate reactions. However, several fundamental challenges persist, including typically low diatomic loading (<2 wt %), ambiguous d... read more

Distinct Biotypes of Visual Perception in Major Depressive Disorder.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 18, 2026

Previous studies showed abnormalities in both visual motion perception (VMP) and occipital cortex activity in subjects suffering from major depressive disorder (MDD). Can the psychophysical and/or neural markers of visual perception serve for clinica... read more

Artificial Intelligence Needs Sensors: Building the Data Layer for Artificial Intelligence-Accelerated Discovery.

ACS sensors Mar 18, 2026

AbDist: a lightweight, distance-based model for antibody affinity prediction as an interpretable benchmark for machine learning models.

mAbs Mar 18, 2026

Many complex models for antibody affinity prediction have been developed and successfully deployed. Recent results for T-cell receptor epitope prediction have shown, that even simple distance-based models can achieve a similar performance while requi... read more

Artificial Intelligence Medical Compendium