Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: AI tools have the potential to enhance personalized clinical care, particularly in radiology. However, their integration into clinical workflows remains complex, especially in pediatric oncology, where early cancer detection is critical. Children with Li-Fraumeni syndrome (LFS), a rare cancer predisposition disorder, undergo regular surveillance whole-body magnetic resonance imaging (w...
BACKGROUND: The transformation from benign to malignant breast tissue represents a complex biological continuum rather than a discrete pathological switch. Current diagnostic paradigms rely heavily on binary classification systems that may inadequately capture the nuanced morphometric signatures underlying this transformation process. While machine learning classifiers have demonstrated high class...
BACKGROUND: Current endoscopic retrograde cholangiopancreatography (ERCP) and cholangioscopic-based diagnostic sampling for indeterminant biliary stri...
Metastatic prostate cancer is a clinically and molecularly heterogeneous disease. Under the selective pressure of androgen receptor (AR)-directed ther...
BACKGROUND: Vacuum-assisted breast biopsy (VABB) enables minimally invasive sampling of breast lesions but provides no real-time information about the...
BACKGROUND: Clinical course information, including disease onset, episode recurrence, and hospitalization history, is essential for psychiatric care a...
BACKGROUND: Real-time breath metabolomic profiling may detect lung cancer-associated breath features, but exploratory case-control findings require ca...
BACKGROUND: Hepatocellular carcinoma (HCC) frequently develops in the setting of chronic hepatitis B virus (HBV) infection, yet the molecular events s...
Tertiary lymphoid structures (TLS) are organized ectopic immune aggregates within the tumor microenvironment and have been associated with prognosis a...
The pressing need for high-fidelity in vitro tumor models that accurately recapitulate the native tumor microenvironment (TME) remains a critical bott...
BACKGROUND: Esophageal adenocarcinoma (EAC) remains a lethal malignancy with limited prognostic tools for guiding immunotherapy. Tumor-infiltrating im...
INTRODUCTION: The combination of CDK4/6 inhibitors and endocrine therapy is the first-line standard regimen for advanced HR⁺/HER₂⁻ breast cancer. Howe...
Epstein-Barr virus associated gastric carcinoma (EBVaGC) represents a distinct molecular subtype of gastric cancer with prognostic and therapeutic sig...
BACKGROUND: Large-scale evidence on the role of endoscopy alone as the assessment tool to identify complete response after neoadjuvant therapy in loca...
A detailed understanding of solid-state reaction pathways is essential for connecting predictive frameworks, such as density functional theory and mac...
Artificial intelligence (AI) is rapidly moving from conceptual innovation to high-performing algorithms across the pituitary patient pathway, promisin...
Immune checkpoint blockade (ICB) can produce durable responses in cancer, but reliable predictors of benefit are still lacking. CD8+ tumor-specific T ...
BACKGROUND: Colorectal cancer (CRC) exhibits substantial metabolic heterogeneity. This study developed a robust prognostic signature integrating ferro...
BACKGROUND: The rapid advancement of digital pathology has opened unprecedented opportunities for intelligent diagnosis in renal cell tumor. However, ...
PURPOSE: The clinical outcome of urothelial carcinoma presents significant variability, reflecting its molecular composition, epidemiologic attributes...