AI Medical Compendium

[Expert consensus on clinical application of immunotherapy intelligent prediction for colorectal cancer based on artificial intelligence platform(2025 version)].

Zhonghua wai ke za zhi [Chinese journal of surgery] Aug 20, 2025

Microsatellite instability (MSI) serves as a molecular marker for DNA mismatch repair deficiency (dMMR), present in approximately 15% of colorectal cancer patients. The MSI status provides predictive information guiding treatment decisions; for insta... read more

Weed mapping using UAV imagery and AI techniques: current trends and challenges.

Pest management science Aug 20, 2025

Despite achieving accuracy rates of over 90% in recognizing weeds in crop fields using images captured by unmanned aerial vehicles (UAVs), challenges remain with embedded systems that perform automatic weed identification in real-time. The primary ob... read more

Development and validation of the ENDOLAP artificial intelligence framework for inflammation severity classification in laparoscopic cholecystectomy: a cross-sectional study.

Surgical endoscopy Aug 20, 2025

BACKGROUND: Laparoscopic cholecystectomy outcomes are significantly influenced by gallbladder inflammation severity, yet current intraoperative assessment remains subjective and lacks standardization. This study aimed to develop and validate an AI fr... read more

Characterizing the Impact of Training Data on Generalizability: Application in Deep Learning to Estimate Lung Nodule Malignancy Risk.

Radiology. Artificial intelligence Aug 20, 2025

. Purpose To investigate the relationship between training data volume and performance of a deep learning AI algorithm developed to assess the malignancy risk of pulmonary nodules detected on low-dose CT scans in lung cancer screening. Materials and ... read more

Machine learning-based prediction model for post-stroke cerebral-cardiac syndrome: a risk stratification study.

Scientific reports Aug 20, 2025

Cerebral-cardiac syndrome (CCS) is a severe cardiac complication following acute ischemic stroke, often associated with adverse outcomes. This study developed and validated a machine learning (ML) model to predict CCS using clinical, laboratory, and ... read more

Humans Machine Learning Retrospective Studies Female Risk Factors Aged Male Middle Aged Risk Assessment Logistic Models Support Vector Machine Stroke

Synergistic Modulation of Microglial Polarization by Acteoside and Ferulic Acid via Dual Targeting of Nrf2 and RORγt to Alleviate Depression-Associated Neuroinflammation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 20, 2025

Acteoside (ACT) and ferulic acid (FA), the principal bioactive constituents of Baihe Dihuang decoction (BDD), possess established anti-inflammatory and antidepressant properties, but their combined effect on microglial phenotype modulation remains un... read more

Pioneering 3D and 4D Bioprinting Strategies for Advanced Wound Management: From Design to Healing.

Small (Weinheim an der Bergstrasse, Germany) Aug 20, 2025

Chronic and complex wounds pose a major clinical challenge due to the intricate skin architecture and the multifactorial nature of healing. Conventional wound care often fails to restore native skin function and structure. Advances in 3D and 4D biopr... read more

SCRIPT: Predicting Single-Cell Long-Range Cis-Regulation Based on Pretrained Graph Attention Networks.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Aug 20, 2025

Single-cell cis-regulatory relationships (CRRs) are essential for deciphering transcriptional regulation and understanding the pathogenic mechanisms of disease-associated non-coding variants. Existing computational methods struggle to accurately pred... read more

Non-genetic neuromodulation with graphene optoelectronic actuators for disease models, stem cell maturation, and biohybrid robotics.

Nature communications Aug 20, 2025

Light can serve as a tunable trigger for neurobioengineering technologies, enabling probing, control, and enhancement of brain function with unmatched spatiotemporal precision. Yet, these technologies often require genetic or structural alterations o... read more

Humans Brain Animals Robotics Cell Differentiation Neurons Alzheimer Disease Graphite Optogenetics Induced Pluripotent Stem Cells Organoids

Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention.