AI Medical Compendium

Zebrafish Behavioral Phenotyping: Current Assays, Automated Platforms, and the Emerging Need for AI in Neuroscience, Drug Discovery and Toxicology.

Neuroscience and biobehavioral reviews May 22, 2026

Over the past two decades, zebrafish have become an increasingly prominent model organism for basic research, drug discovery, and toxicology. Its advantages combine low cost, high throughput amenability, high gene homology to humans, genetic flexibil... read more

Denoising Preclinical MRI with Vendor-neutral Deep Learning-based Image Reconstruction.

Journal of neuroscience methods May 22, 2026

BACKGROUND: Deep learning-based image reconstruction (DLR) is a widely adopted technology in clinical settings, and recently, the development of vendor-neutral DLR software has been actively pursued. It is valuable to assess the applicability of this... read more

Biomarker-Guided Strategies for Tumor Vasculature: From Imaging Advances to Novel Therapeutic Interventions.

Cancer letters May 22, 2026

The tumor vasculature is a dynamic and heterogeneous component of the tumor microenvironment (TME) that influences tumor progression, immune infiltration, metastatic spread, and therapeutic response. This review explores the factors that contribute t... read more

The development and application of deep learning for stem cell research.

Journal of genetics and genomics = Yi chuan xue bao May 22, 2026

Stem cells reside in specific microenvironments where they divide to maintain themselves and differentiate into functional cells that replace old, dead, or damaged cells to maintain tissue homeostasis. Some stem cells could also be cultured in vitro ... read more

Evaluation of suicide behavior screening tools using machine learning and variable importance measures.

Journal of affective disorders May 22, 2026

Suicide screening in military primary care settings is often conducted with a small number of self-report questions. The PRImary care Screening Methods (PRISM) study investigates how to enhance this screening's predictive validity by supplementing th... read more

Machine learning modeling of acute inhalation toxicity using an RFA-RFR framework, supported by explainable AI and SALI-based activity cliff analysis.

Journal of pharmacological and toxicological methods May 22, 2026

The present study develops machine learning models to predict the acute inhalation toxicity (pLC₅₀) of a diverse set of 552 molecules. Following dataset curation from the Integrated Chemical Environment (ICE) database, 3D molecular structures were ge... read more

Phage ImmunoPrecipitation sequencing (PhIP-Seq) in autoimmunity research: From high-resolution epitope mapping to multi-omics integration.

Autoimmunity reviews May 22, 2026

Autoimmune diseases (AIDs) affect 5-10% of the global population, yet effective diagnosis and treatment remain challenging due to their complexity and heterogeneity. Autoantibodies serve as crucial biomarkers for disease classification and prognosis,... read more

Reply to Comment on "RNFL Thickness in a Population-Based Cohort: The Canadian Longitudinal Study on Aging M2M (Machine-to-Machine) Study".

American journal of ophthalmology May 22, 2026

Risk Prediction Model for Critical Illness in Connective Tissue Disease-associated Interstitial Lung Disease.

SLAS technology May 22, 2026

OBJECTIVE: This study was to optimize the current methods for identifying and predicting the risk of critical illness in patients with connective tissue disease-associated interstitial lung disease (CTD-ILD). METHODS: First, 200 patients diagnosed wi... read more

Longitudinal Plasma Proteomics Reveals an Immuno-thrombotic Signature that Predicts Radiation Pneumonitis in Lung Cancer.

International journal of radiation oncology, biology, physics May 22, 2026

PURPOSE: Radiation pneumonitis (RP) is a dose-limiting toxicity in lung cancer radiotherapy, often poorly predicted by static clinical and dosimetric models. We aimed to identify a robust, blood-based proteomic signature grounded in the longitudinal ... read more

Artificial Intelligence Medical Compendium