Latest AI and machine learning research in colon cancer for healthcare professionals.
Robot-assisted colorectal cancer resection (RACR) has emerged as a preferred surgical approach for mid-to-low rectal tumors, yet patients often struggle to find accessible, accurate information about this complex procedure. Artificial intelligence (AI) chatbots increasingly serve as lay-friendly health information sources, but whether they deliver counseling of sufficient quality, transparency, an...
OBJECTIVE: To develop and validate a predictive tool to estimate the risk of ovarian cancer in a screening setting. METHODS: Machine learning was leveraged to create a predictive model for ovarian cancer diagnosis within one year of screening. Data from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial were used in model creation. Participants in this trial were comprised of female...
BACKGROUND: Lactylation links lactate metabolism with inflammatory signaling and immune regulation in tumors. However, its cellular distribution and t...
Xue and Chen et al.'s review connects AI-derived CT features of lung ground-glass nodule adenocarcinoma to driver gene status. Three aspects are missi...
Deep learning models in computational pathology often fail to generalize across cohorts and institutions due to domain shift. Existing approaches eith...
BACKGROUND AND AIMS: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies worldwide because most patients are diagnosed...
Surgical resection, and its associated bowel preparation, remain the primary treatment for colorectal cancer (CRC), yet the associated effects on post...
INTRODUCTION: Colorectal Cancer (CRC) is a common cause of cancer death and prognostic factors are used to determine management. Patients with advance...
While precision oncology increasingly adopts tissue-agnostic paradigms, current strategies remain heavily reliant on molecular alterations, with limit...
Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) is a common female malignancy. Gut microbiota and metabolites are critical reg...
RATIONALE AND OBJECTIVES: To address the challenge of preoperative prediction of synchronous liver metastasis (LM) in pancreatic cancer (PC), we devel...
Paclitaxel (PTX) chemotherapy is constrained by an "immunomodulatory paradox," where antitumor Type I Interferon (IFN-I) activation is coupled with de...
Immunogenic cell death (ICD) links tumor cell demise with antitumor immunity, but the transcriptional features associated with ICD gene expression pat...
Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignant cancer with limited biomarkers for early detection and disease stratification. He...
INTRODUCTION: Posttranslational modification (PTM) plays an important role in protein regulation and may influence tumor initiation and progression. H...
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains highly lethal, and genome-centric precision oncology shows limited impact due to low actio...
Lung adenocarcinoma (LUAD), the most common lung cancer subtype, exhibits a poor prognosis. Although mitotic catastrophe can be induced in LUAD, leadi...
BACKGROUND: Adenomas in the right colon are likely to be missed during colonoscopy because of anatomical complexity and lesion characteristics. Althou...
The human microbiome is spatially compartmentalized, yet oral bacteria can ectopically colonize distal sites such as the gut, potentially influencing ...
Advanced gene editing tools have transformed oncology by facilitating precise molecular therapies aimed at the hereditary basis of cancer. This thorou...