Latest AI and machine learning research in other cancers for healthcare professionals.
Background Some artificial intelligence models use heart rate variability (HRV) features to classify...
BACKGROUND/AIM: Colorectal cancer liver metastases (CRLM) remain a leading cause of cancer-related m...
The phosphatidylinositol 3-kinase (PI3K) pathway is a vital intracellular signaling cascade that pla...
OBJECTIVE: To explore the feasibility of developing an intraoperative real-time detection model for ...
Air pollution is closely related to the incidence and prognosis of hepatocellular carcinoma (HCC); h...
Recent advancements in AI have emerged in the diagnosis of different diseases by enhancing the analy...
INTRODUCTION: Clinical management of RAS wild-type colorectal cancer liver metastases (CRLM) remains...
BACKGROUND: Early detection and management are essential in hepatocellular carcinoma (HCC) care. Art...
Artificial intelligence (AI)-based decision support systems are increasingly explored in surgical on...
BACKGROUND: ∼60%-70% of patients with metastatic non-small cell lung cancer (NSCLC) have relatively ...
Hepatocellular carcinoma (HCC) treatment faces significant challenges, particularly in tumor growth,...
Although significant progress has been achieved in diagnosing papillary thyroid carcinoma (PTC), it ...
OBJECTIVE: Dysregulation of Protein post-translation(PTM) and Treg/Th17 balance contribute to the pr...
BACKGROUND: Aspartame (APM), a widely used sweetener, has been linked to cancers, yet its molecular ...
Colorectal cancer (CC) arises from a complex interplay between genetic and epigenetic alterations wi...
BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 85% of primary pulmonary n...
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is an aggressive tumor with high metastatic pote...
Endometrial cancer (EC) is the most common gynaecological malignancy worldwide, yet the prognosis fo...
BACKGROUND: Palliative care improves the quality of life of people living with life-limiting conditi...
OBJECTIVES: This study aimed to use machine learning to explore Behçet's syndrome (BS) heterogeneity...
Cervical, endometrial, ovarian, vulvar, vaginal, fallopian tube, and gestational trophoblastic neopl...