Artificial Intelligence Medical Compendium

Neutrophil extracellular traps (NETs) have emerged as key modulators in the tumor microenvironment, yet their cellular heterogeneity, molecular mechanisms, and clinical relevance in lung adenocarcinoma (LUAD) remain elusive. Here, we performed an int... read more 

Neoadjuvant immunochemotherapy (NAIC) is a standard treatment for triple-negative breast cancer (TNBC), but there is no reliable biomarker to identify potential responders and optimize patient care. In this study, we developed a model named Immunothe... read more 

BACKGROUND AND OBJECTIVE: Dreams can reflect our profound needs and desires, intrinsically linked to emotional processes. In recent years, research on dream emotions has been made possible by capturing electroencephalogram (EEG) signals from the Rapi... read more 

CRISPR-Cas12a has become a versatile biotechnology platform with important applications in biosensing, diagnostics, and precision genome editing. This system is activated by a single crRNA, exhibits target-responsive trans-cleavage activity, and reco... read more 

BACKGROUND: Brain metastases (BM) are the most common intracranial tumors in adults and present ongoing challenges in clinical management, particularly after stereotactic radiosurgery (SRS). Recent advances in artificial intelligence (AI) offer the p... read more 

Computed tomography (CT) is an important imaging modality that provides cross-sectional images, aiding in the detailed visualization of internal structures for accurate diagnosis and treatment. The pediatric population is more sensitive to radiation ... read more 

Cotton (Gossypium hirsutum L.) has experienced extensive breeding in recent decades, leading to a narrowed genetic base that presents challenges for accurate germplasm differentiation and cultivar authentication. This study primarily addresses the la... read more 

BACKGROUND: Psychological stress is a recognized contributor to cardiac injury and disease; however, the molecular mechanisms underlying this relationship remain incompletely understood, and effective therapeutic strategies are still limited. MATERIA... read more 

Alzheimer's disease (AD) -the most common form of dementia- begins with mild memory loss and gradually progresses, eventually resulting in a generalized loss of brain function. The pathological changes of AD in the brain cortex begin decades before t... read more 

Deep learning algorithms optimize data by enhancing resolution and suppressing noise associated with biological knowledge. The root issue is that, for example, CNNs learning mathematical patterns from statistical correlations in the data without rega... read more