AI Medical Compendium

OptiSyn: an interpretable, multi-omics-driven graph convolutional network framework for synergy-oriented drug combination design in disease treatment.

Chinese medicine Mar 24, 2026

BACKGROUND: Bioinformatics and large-scale computational modelling have emerged as essential research fields in modern biomedical science, enabling drug discovery and therapeutic optimisation. A unique and potent technical framework for the modernisa... read more

Enhancing plant disease detection through multi-modal integration of visual and textual data.

Plant methods Mar 24, 2026

The 12 o'clock assay: an optimized dodecaplex droplet digital PCR assay for robust DNA methylation quantification and epigenetic clock-based age-predictions.

Clinical epigenetics Mar 24, 2026

DNA methylation quantification in age-prediction models relies on only a few techniques with inherent limitations and biases, reducing the accuracy and reproducibility. We developed a new droplet digital PCR assay format for accurate DNA methylation ... read more

Multi-output LSTM-based prediction of postoperative delirium: integrating baseline and perioperative data for enhanced risk stratification in older spine surgery patients.

BioData mining Mar 24, 2026

INTRODUCTION: Postoperative delirium (POD) adversely affects clinical outcomes among older adults undergoing spine surgery. However, existing predictive models often neglect multidimensional nature of delirium, including its clinical subtype, duratio... read more

Bridging Borders, Bridging Barriers: Artificial Intelligence for Dental Education.

European journal of dental education : official journal of the Association for Dental Education in Europe Mar 24, 2026

The rapid convergence of Artificial Intelligence (AI), Information and Communication Technologies (ICT), and Assistive Technologies (AT) is transforming education, especially its accessibility and inclusivity. This commentary resulted from a think-ta... read more

Ti3C2/CuCoSe2 p-n Heterojunction: Preparation and Mechanism for Machine Learning-enhanced Electrochemical Sensing of Rutin.

Analytical chemistry Mar 24, 2026

Rutin is widely employed as a therapeutic agent, but excessive intake may induce adverse reactions such as gastric discomfort, headache and dermatitis. However, reliably quantifying it in complex matrices remains a significant challenge. Herein, a hi... read more

Building RNA Coarse-Grained Force Fields: Design Principles and Training Strategies.

Biophysical journal Mar 24, 2026

The development of accurate and efficient computational models is essential for understanding RNA structures and biological pathways; however, the application of all-atom models to large RNA systems is often limited by their vast degrees of freedom a... read more

Research on Alzheimer's Disease Risk Assessment Models and Biomarker Screening Based on Bioinformatics Analysis and Machine Learning Algorithms.

Current Alzheimer research Mar 24, 2026

INTRODUCTION: Alzheimer's Disease (AD) is among the most prevalent neurodegenerative disorders globally, yet effective early diagnostic strategies remain lacking. Advances in multi-omics technologies and the integration of artificial intelligence int... read more

Emerging Roles of Small-molecule Derivatives in Modulating Neurodegenerative Pathways: From Molecular Targets to Therapeutic Applications.

Mini reviews in medicinal chemistry Mar 24, 2026

Neurodegenerative disorders such as Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, and Huntington's disease involve progressive neuronal dysfunction driven by mechanisms including protein aggregation, oxidative stress, mitoc... read more

Letter to the Editor: "Evaluating the efficacy of large language models in predicting intensive care unit admission needs".

Journal of critical care Mar 24, 2026

This letter comments on the study by Turan et al., which evaluates the efficacy of large language models (LLMs) in predicting ICU admission needs. While commending the rigorous benchmark established for off-the-shelf LLMs, we propose methodological d... read more

Artificial Intelligence Medical Compendium