AI Medical Compendium

AI-driven multi-omics drug repurposing nominates AZD7762 as a multitarget inhibitor of IL22RA1 and FAM221A in esophageal squamous cell carcinoma.

NPJ precision oncology May 26, 2026

Esophageal squamous cell carcinoma (ESCC) is an aggressive malignancy with limited targeted treatment options and poor clinical outcomes. We developed an AI-driven multi-omics pipeline that links prognostic modeling to multitarget drug repurposing fo... read more

MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning in the NISQ Era.

Scientific data May 26, 2026

We introduce MNISQ, the first large-scale dataset for both quantum and classical machine learning during the NISQ era, containing 4.95 million circuits of 10 qubits constructed with up to 100 two-qubit gates. MNISQ serves as a foundational resource f... read more

End-to-end molecular structure elucidation from multimodal NMR spectra images using vision transformers.

Chemical science May 26, 2026

Nuclear magnetic resonance (NMR) spectroscopy is a cornerstone technique for molecular structure elucidation, but interpreting complex NMR spectra remains challenging and often relies on expert-driven, heuristic workflows. Recent deep learning approa... read more

Improving multimodal wearable sensing for healthcare with artificial intelligence.

Nature biotechnology May 26, 2026

Sustainable smart sensing and AI-driven platforms for real-time detection and monitoring of mycotoxins across the food supply chain.

Mycotoxin research May 26, 2026

This review aims to critically evaluate sustainable smart sensing technologies and AI-driven platforms for real-time mycotoxin detection, highlighting innovations, integration across the food supply chain, current limitations, and future directions f... read more

Validation of a Machine Learning-Derived Algorithm for the Measurement of Facial First Impressions.

Aesthetic plastic surgery May 26, 2026

BACKGROUND: Facial first impressions are formed within milliseconds and play a pivotal role in social interactions. These rapid judgments influence how individuals are perceived in terms of personality. Traditional assessments of these first impressi... read more

Automatic Localization and Classification of Crohn's Disease Activity in Computed Tomography Enterography Images Using Deep Learning.

Journal of imaging informatics in medicine May 26, 2026

Rapid and accurate localization and activity grading of Crohn's disease (CD) lesions on computed tomography enterography (CTE) images enhance the diagnostic efficiency of radiologists. We developed a one-stage model (called CD-YOLO) based on YOLOv5 f... read more

ColoXAI-RecomNet: Explainable Recommender Framework for Colorectal Cancer Classification Using Integrated CNN Ensemble and LIME Interpretability.

Journal of imaging informatics in medicine May 26, 2026

The classification of colorectal disease based on colonoscopy images requires not only high predictive accuracy but also interpretable decision support. This study proposes a five-stage explainable framework for multi-class colorectal image classific... read more

Prediction of Neurological Outcome and Mortality in Cardiac Arrest Patients: An Explainable Machine Learning Study Integrating HRV, EEG, and Clinical Features.

Neurocritical care May 26, 2026

OBJECTIVE: Early and accurate prediction of neurological outcomes and mortality in comatose patients after cardiac arrest remains challenging. Multimodal data integrating heart and brain electrophysiological signals may improve prognostic accuracy, b... read more

Aleatoric uncertainty in accelerated prostate MRI reconstruction: echo-train dropout versus Gaussian noise Monte Carlo sampling.

Magma (New York, N.Y.) May 26, 2026

PURPOSE: Although undersampling combined with deep learning (DL)-based reconstruction shortens MRI acquisition, it increases the chance of inaccuracies, highlighting the need for quantifiable uncertainty measures. Two inference-time perturbation stra... read more

Artificial Intelligence Medical Compendium