Latest AI and machine learning research in other cancers for healthcare professionals.
In recent years,immunotherapy,particularly immune checkpoint inhibitors,has been widely used in the ...
Peritoneal metastasis represents the most aggressive form of gastric cancer metastasis and serves as...
PURPOSE: To develop and validate interpretable machine learning models for differentiating glioblast...
RATIONALE AND OBJECTIVES: Early detection of malignant lesions in ultrasound images is crucial for e...
INTRODUCTION: Brain and spine metastases are a major cause of morbidity and mortality in patients wi...
Diffuse midline glioma (DMG) H3 K27M-altered is a rare pediatric brainstem cancer with poor prognosi...
Esophageal cancer ranks among the most lethal malignancies globally, with China accounting for more ...
Pathology data, primarily consisting of slides and diagnostic reports, inherently contain knowledge ...
U1 small nuclear RNA (snRNA) mutations are recurrent non-coding alterations found in various maligna...
The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...
BACKGROUND: While DNA methylation signatures are distinct across nervous system neoplasms, it has no...
Histopathology is the reference standard for diagnosing the presence and nature of many diseases, in...
PURPOSE: We explored the feasibility of constructing machine learning (ML) models based on subregion...
BACKGROUND: Accurate preoperative evaluation of cT1N0M0 papillary thyroid carcinoma (PTC) is essenti...
Sleep staging identification is a fundamental task for the diagnosis of sleep disorders. With the de...
Medical specialists need to perform precise MRI analysis for accurate diagnosis of brain tumors. Cur...
BACKGROUND: Pancreatic cancer, a highly malignant tumor with poor prognosis, lacks effective early d...
: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cancer, and its progno...
The automatic screening of thyroid nodules using computer-aided diagnosis holds great promise in red...
INTRODUCTION: To develop and validate a machine learning model based on dual-energy computed tomogra...
Engineered T-cell receptor (eTCR) systems rely on accurately generated T-cell receptor (TCR) sequenc...