Latest AI and machine learning research in other cancers for healthcare professionals.
The dual inhibition of microtubule dynamics and immune checkpoint signaling represents a promising s...
Gastric cancer (GC), a malignant neoplasm originating from the gastric mucosal epithelium, represent...
Gastric adenocarcinoma is a significant global health concern. Among the myriad histologic classific...
BACKGROUND AIMS: Pathological complete response (pCR) following conversion therapy for initially unr...
Breast cancer diagnosis from histopathology images remains challenging due to two intertwined factor...
AIM: The clinical evaluation of patients with oral potentially malignant disorders is primarily base...
BACKGROUND: Developments in artificial neural networks (ANNs) offer significant promise for cancer s...
The treatment paradigm for lymphoma, a highly heterogeneous group of hematologic malignancies, has b...
Cancer immunotherapy, which leverages the immune system to combat tumor cells, has made significant ...
OBJECTIVE: Insidiousness is a hallmark of metachronous liver metastasis. Owing to the absence of a c...
BACKGROUND: Superficial esophageal squamous cell carcinoma (ESCC) is increasingly detected due to en...
BACKGROUND: Colorectal cancer (CRC) represents the third most prevalent malignancy worldwide and acc...
PURPOSE: Despite Phosphoenolpyruvate carboxykinase 2 (PCK2) has attracted growing attention as a pot...
Advances in immunotherapy, particularly with immune checkpoint inhibitors, have improved clinical ou...
Oral squamous cell carcinoma (OSCC) is a malignant tumor characterized by both clinical and molecula...
BACKGROUND: The early prediction of malignant cerebral edema (MCE) following endovascular therapy fo...
BACKGROUND: Cutaneous squamous cell carcinoma (cSCC) is a common age-related cancer, with a subset p...
BACKGROUND: Focused ultrasound, low-intensity focused ultrasound, and microbubble-enhanced sonoporat...
BACKGROUND: While immunotherapy has transformed treatment paradigms for cancer, durable response rat...
Objective: To construct a prediction model and website for the overall survival (OS) of gastric canc...
PURPOSE: To develop a deep learning (DL) model for diagnosing ocular surface tumors and evaluating i...