Latest AI and machine learning research in oncology/hematology for healthcare professionals.
INTRODUCTION: Salivary gland tumors (SGTs) comprise a heterogeneous group of neoplasms with diverse ...
BACKGROUND: In pediatric surgical oncology, intraoperative tissue assessment is limited by small spe...
RATIONALE AND OBJECTIVES: We aimed to establish a Segment Anything Model 3 (SAM3) based on ultrasoun...
Perioperative nivolumab significantly improved event-free survival (EFS) compared with placebo in pa...
BACKGROUND: Laslo et al. recently reported a guided denoising diffusion implicit model for spatial t...
Tumor immunotherapy has emerged as a transformative strategy for cancer treatment. However, its clin...
Background: While maintenance rituximab therapy (MT) for follicular lymphoma improves progression-fr...
The development of preclinical models that recapitulate the physiological and pathological features ...
A label-free high-frequency bioelectrical impedance spectroscopy method, coupled with supervised mac...
To determine the optimal spatial-depth architecture for deep learning-radiomics (DLR) differentiatio...
BACKGROUND: Bladder cancer is the most common malignancy of the urinary tract and is often treated w...
The selection of biomarker-specific patient populations is essential in targeted cancer therapies to...
Hepatocellular carcinoma (HCC) is a malignancy with high global incidence and mortality, whose signi...
Oligometastatic disease (OMD) and oligoprogression are clinically actionable states in which local t...
Cancer poses a severe threat to human health. The limited sensitivity and efficiency of conventional...
OBJECTIVE: The specific role of Neuropilin-1 (NRP1) and its link to oxidative stress in Non-Small Ce...
Multiparameter flow cytometry is essential for diagnosing mature B-cell lymphomas, yet analysis rema...
The expansion of arid and dry ecosystems during the Miocene played a key role in the diversification...
The rapid expansion of immuno-oncology (I-O) and other advanced therapies is reshaping the complexit...
To develop and rigorously validate a deep learning framework for CT-free positron emission tomograph...
PURPOSE: The purpose of this study was to compare the image quality and lesion detection between ult...