Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Long non-coding RNAs (lncRNAs) are receiving increasing attention as biomarkers for cancer diagnosis...
Prostate cancer (PCa) is a leading cause of cancer-related mortality in men, with Gleason grading cr...
BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare type of tumor closely associated with asb...
INTRODUCTION: Pancreatic cancer (PC) remains a lethal malignancy with limited treatment options. The...
PURPOSE: This study aims to develop an interpretable predictive model combining contrast-enhanced CT...
OBJECTIVES: To develop a machine learning-based model to predict the relapse risk of Primary Autoimm...
Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy with limited treatment options, and e...
BACKGROUND: Translocation of chromosomes 11 and 14 [t(11;14)(q13;32)] is the most common primary tra...
: The prediction of cancer types is primarily reliant on driver genes and their specific mutations. ...
Acute myeloid leukemia (AML) is an aggressive hematopoietic malignancy defined by aberrant clonal ex...
Metastasis remains the leading cause of cancer-related mortality, yet predicting future metastasis i...
MRI brain scans alone are not a definitive measure of dementia. Deep-learning algorithms (DLA) and p...
RATIONALE AND OBJECTIVES: The aim of this study is to develop a deep learning-based multimodal featu...
Accurate contouring is crucial for optimal treatment outcomes, whether for nonadaptive radiotherapy ...
INTRODUCTION: Global longitudinal strain (GLS) is an important prognostic indicator for predicting h...
BACKGROUND: Sarcopenia is a clinicopathological condition characterized by a decrease in muscle stre...
Breast cancer is a complex and challenging disease to treat, and despite progress in combating it, d...
Multiplex tissue imaging enables single-cell spatial proteomics and transcriptomics but remains limi...
In histopathology, acquiring subcellular-level three-dimensional (3D) tissue structures efficiently ...
Artificial Intelligence (AI) is transforming neuro-oncology by enhancing diagnosis, treatment planni...
High-quality segmentation is important for AI-driven radiological research and clinical practice, wi...