Other Cancers

[Transformation of gastrointestinal surgery diagnosis and treatment models].

In recent years, with the rapid development of medical device and biopharmaceutical technologies, the treatment model of gastric cancer surgery has been undergoing tremendous transformations. From the traditional open surgery model to the minimally invasive surgery model supported by devices such as laparoscopes and robots, the "precision minimally invasive" system integrated with 3D/4K high-defin...

[Centennial evolution and innovative practices of functional protection in colorectal cancer surgery].

In the over-century-long history of colorectal tumor surgery, achieving organ function preservation has consistently been a central topic. Currently, advancements in surgical techniques, updates in surgical platforms, and the development of multidisciplinary comprehensive treatment models have collectively driven the inheritance and evolution of theories and technologies for organ function preserv...

[Sphincter-preserving surgery for rectal cancer--From limits to perfection].

Sphincter-preserving therapy for low rectal cancer has always been a difficult and hot topic in colorectal cancer. Advanced understanding of the biolo...

[Trends in the development of clinical diagnosis and treatment models for gastrointestinal tumor surgery in the artificial intelligence era].

Gastrointestinal tumors represent a significant global public health challenge, characterized by high incidence and mortality, which reflect the urgen...

[Precision surgical treatment for middle and low rectal cancer in the era of artificial intelligence].

Precise preoperative assessment and the development of individualized surgical strategies are critical determinants in minimizing operative risks and ...

[Artificial intelligence prediction of surgical difficulty in mid-low rectal cancer: a single-center cohort study].

Objective: This study processes and analyzes rectal MRI images of patients with mid-to-low rectal cancer using deep learning technology, and integrate...

[Clinical Implementation of Artificial Intelligence in Endoscopy: A Human-Artificial Intelligence Interaction Perspective].

Artificial intelligence (AI) for gastrointestinal endoscopy has shown remarkable performance in detecting and characterizing lesions. A randomized con...

Polyphenols as Modulators of Macrophage Polarization: Mechanisms and Therapeutic Potential in Chronic Inflammatory Diseases.

Macrophage polarization between pro-inflammatory M1 and anti-inflammatory M2 phenotypes is pivotal in chronic inflammatory diseases, offering a key th...

HCAR1 antagonist screening based on boundary-selected negative sampling strategy and multi-level graph neural network.

BACKGROUND AND OBJECTIVE: Hydroxycarboxylic acid receptor 1 (HCAR1), also known as the lactate receptor, is closely associated with tumorigenesis and ...

MRI-based multilevel radiomics and transformer features for predicting radiation-induced carotid artery injury after nasopharyngeal carcinoma radiotherapy: A multicenter study.

PURPOSE: To develop and validate an MRI-based fusion model (Rad-SRad-SwinT) integrating conventional radiomics (Rad), subregional radiomics (SRad), an...

Automatic and accurate auxiliary detection of lung cancer pathological classification based on novel lightweight deep learning model.

BACKGROUND: Lung cancer is one of the major cancers worldwide, and rapid, accurate diagnosis is crucial for subsequent treatment and management. Curre...

Breast cancer frontiers: mapping molecular signals, intelligent diagnostics, and adaptive therapies.

Breast cancer continues to be a significant worldwide health concern, requiring ongoing improvements in early detection, therapeutic approaches, and c...

Research on the molecular mechanism of celastrol targeting CTNNB1/STAT3 to inhibit uveal melanoma based on network pharmacology and multi-omics analysis.

Uveal melanoma (UM) is among the most prevalent intraocular malignant tumors worldwide. Celastrol exhibits broad-spectrum anticancer properties; howev...

Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images.

Pleural and ascitic cytology is essential for diagnosing metastatic cancer and predicting tumor origin, yet microscopic observation alone often leads ...

CT-based radiomics nomogram for preoperative prediction of Ki-67 in lung neuroendocrine neoplasms: a multicenter study.

OBJECTIVE: Lung neuroendocrine neoplasms (L-NENs) are increasingly recognized, yet reliable preoperative assessment of the Ki-67 proliferation index r...

Utilization of machine learning algorithms for the identification of the RLN associated prognostic model and feature biomarkers of RLN-related subtypes in breast cancer.

BACKGROUND: Breast cancer (BC) is the most common malignancy afflicting women worldwide, yet the role of relaxin-related genes (RLN) in BC progression...

Recent advances in redox-responsive polysaccharide-based nanostructures for cancer therapy.

Conventional tumor chemotherapy faces limitations including drug resistance, high toxicity, non-selectivity, and side effects. Nano-drug delivery syst...

Recapitulating lung cancer metastasis in vitro: Advances in organoid models and challenges in clinical translation (Review).

Lung cancer remains a significant global health challenge, with metastatic progression being the leading driver of mortality. Organoid technology prov...

Collaborative breakthroughs in precision diagnosis and treatment of nasopharyngeal cancer: Biomarker‑driven screening and endoscopic minimally invasive surgery reshape the new paradigm of early intervention (Review).

The management of nasopharyngeal carcinoma (NPC), a malignancy with pronounced geographic prevalence in Southeast Asia, is undergoing a paradigm shift...

A novel cervical image recognition framework based on feature cognitive enhancement for improved performance.

Cervical cancer ranks as the fourth most prevalent cancer among women worldwide. Early diagnosis facilitates timely intervention and treatment. Tradit...