Latest AI and machine learning research in oncology/hematology for healthcare professionals.
With the ever-increasing use of computed tomography (CT), concerns about its radiation dose have bec...
In the setting of pronounced inflammation, changes in the epithelium may overlap with neoplasia, oft...
BACKGROUND: c-MYC and BCL2 positivity are important prognostic factors for diffuse large B-cell lymp...
BACKGROUND: The presence of circulating plasma cells (CPCs) is an important laboratory indicator for...
Severe acute pancreatitis (SAP) is a life-threatening gastrointestinal emergency. The study aimed to...
This research delves into the intricate relationship between hepatocellular carcinoma (HCC) and hear...
Histopathology is the gold standard for diagnosing fibrosis, but its routine use is constrained by t...
BACKGROUND AND PURPOSE: Survival is frequently assessed using Cox proportional hazards (CPH) regress...
AIM: Robotic surgery is increasingly being used for rectal resection, with short-term benefits such ...
Predicting the chances of various types of cancers for different organs in the human body is a typic...
Cancer stands as the leading global cause of mortality, with rare cancer comprising 230 distinct sub...
FOLFOX and FOLFIRI chemotherapy are considered standard first-line treatment options for colorectal...
BACKGROUND: Colon microbiome composition contributes to the pathogenesis of colorectal cancer (CRC) ...
Developing novel substances to synergize with nanozymes is a challenging yet indispensable task to e...
Oncology is becoming increasingly personalised through advancements in precision in diagnostics and ...
BACKGROUND: Bladder cancer (BCa) is a common malignancy of the urinary tract. Due to the high hetero...
The field of histopathological image analysis has evolved significantly with the advent of digital p...
PURPOSE: Despite strong efforts to promote human papillomavirus (HPV) vaccine and cervical cancer sc...
Chat-GPT, a natural language processing (NLP) tool created by Open-AI, can potentially be used as a ...
The increasing breadth and depth of resolution in biological and clinical data, including -omics and...
PURPOSE: To evaluate the ability of texture features for distinguishing between benign and malignant...