Other Cancers

Deep learning and machine learning in image-based hepatocellular carcinoma detection: a systematic review and meta-analysis.

BACKGROUND: Early detection and management are essential in hepatocellular carcinoma (HCC) care. Artificial intelligence (AI) is enhancing the precision and efficiency of diagnostic imaging for liver tumor assessment. OBJECTIVE: This study aimed to characterize the diagnostic performance of AI algorithms for detecting HCC via systematic review and meta-analysis. METHODS: A systematic literature se...

Multidisciplinary tumor board decisions and artificial intelligence-generated recommendations in general surgery: a retrospective observational study.

Artificial intelligence (AI)-based decision support systems are increasingly explored in surgical oncology. However, their concordance with multidisciplinary tumor board (MTB) decisions, particularly in complex gastrointestinal malignancies, remains insufficiently characterized. This retrospective observational study included 47 patients who underwent oncological surgery and were discussed at a mu...

APOBEC mutational signatures predict immune checkpoint inhibitor benefit in TMB-low metastatic NSCLC independent of PD-L1 status.

BACKGROUND: ∼60%-70% of patients with metastatic non-small cell lung cancer (NSCLC) have relatively low tumor mutational burden (TMB), with limited bi...

Beyond the tumor: Recurrence-prone radiomics for prognostication in negative PSMA PET/CT scans of prostate cancer.

Prostate-specific membrane antigen (PSMA) PET/CT is routinely used to restage prostate cancer (PCa) in patients with biochemical recurrence (BCR), yet...

Cross-Scale Bioanalytical Integration for Decoding Tumour Regulatory Plasticity in Oncology.

Cancer is characterized by extensive genetic variability, continuous evolutionary change, and intricate interactions with its surrounding microenviron...

Integrating Machine Learning and Single-Cell Analysis to Reveal the Diagnostic and Therapeutic Value of Regulated Cell Death Mechanisms in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) treatment faces significant challenges, particularly in tumor growth, metastasis, and drug resistance. While several pr...

Evolving techniques to optimize ERCP-based sampling and evaluation of malignant biliary strictures.

Endoscopic retrograde cholangiopancreatography (ERCP)-based tissue acquisition is the cornerstone for assessment of suspected malignant biliary strict...

Assessment of Papillary Thyroid Carcinoma by Profiling Multiple Matrix Metalloproteinase Activities Using a Machine Learning-Assisted Peptide Microarray Sensing Platform.

Although significant progress has been achieved in diagnosing papillary thyroid carcinoma (PTC), it remains a challenge to diagnose thyroid nodules (T...

Artificial intelligence and multi-omics revealed the authentic regulation of ADP-ribosylation in modulation Treg/Th17 ecosystem and multi-target therapeutic strategy enrichment for HBV+ Hepatocellular Carcinoma patients.

OBJECTIVE: Dysregulation of Protein post-translation(PTM) and Treg/Th17 balance contribute to the progression of Hepatocellular Carcinoma(HCC) patient...

Aspartame drives the continuous progression from MASLD to HCC.

BACKGROUND: Aspartame (APM), a widely used sweetener, has been linked to cancers, yet its molecular impact on metabolic dysfunction-associated steatot...

Integrating stemness and epithelial-mesenchymal transition signatures with machine learning identifies RUNX1 as a therapeutic vulnerability in colorectal cancer.

Colorectal cancer (CC) arises from a complex interplay between genetic and epigenetic alterations within the colorectal mucosa, resulting in unchecked...

Effects of Telerehabilitation Based on Motion Recognition Technology on Exercise Endurance of Patients With Non-Small Cell Lung Cancer After Surgery: Single-Center, Prospective, Open-Label, Randomized Controlled Trial.

BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 85% of primary pulmonary neoplasms. Complete surgical removal remains the co...

Integrated multi-omics analysis reveals folate metabolism-related genes as prognostic markers and therapeutic targets in clear cell renal cell carcinoma.

BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is an aggressive tumor with high metastatic potential and therapeutic resistance, yet the role of ...

Integrating artificial intelligence and multi-omics data for precision oncology in endometrial cancer: a narrative review.

Endometrial cancer (EC) is the most common gynaecological malignancy worldwide, yet the prognosis for advanced and recurrent disease remains poor, hig...

Exploring the application of Artificial Intelligence in palliative care and its practical, technical and ethical considerations: a scoping review.

BACKGROUND: Palliative care improves the quality of life of people living with life-limiting conditions and their families; however, global access rem...

Identification of distinct subgroups in Chinese patients with Behçet's syndrome via cluster analysis of immune cells and clinical features.

OBJECTIVES: This study aimed to use machine learning to explore Behçet's syndrome (BS) heterogeneity by integrating immunocyte subpopulations and clin...

Artificial Intelligence in Gynecologic Oncology: Current Applications, Clinical Challenges, and Future Perspectives.

Cervical, endometrial, ovarian, vulvar, vaginal, fallopian tube, and gestational trophoblastic neoplasia (GTN) are major gynecologic cancers that sign...

Deciphering the Therapeutic and Preventive Potential of Dietary Tannins in Osteosarcoma: A Multi-Omics Approach Targeting TGFA and Immune Microenvironment Remodeling.

Malignant tumors, including osteosarcoma (OS), are major non-communicable chronic diseases driven by systemic inflammation and oxidative stress. While...

Unveiling tumor heterogeneity by single cell RNA-sequencing: from basic considerations to clinical applications.

Tumor heterogeneity-encompassing diverse cellular phenotypes, genomic alterations, and micro-environmental contexts-is a principal barrier to effectiv...

Simulating the Dedifferentiation Process of Thyroid Cancer: Insights from Mouse Models and Ultrasound Imaging.

RATIONALE AND OBJECTIVE: Anaplastic thyroid carcinoma (ATC) may arise from the progression of differentiated thyroid cancers, but the mechanisms are n...