Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Precision medicine terminology is increasingly used across clinical, laboratory, payer, regulatory, and policy settings; however, distinct terminology may be applied interchangeably or inconsistently across stakeholders, and foundational concepts may not be uniformly understood across multidisciplinary audiences with varying levels of expertise. This misalignment may create confusion for stakehold...
INTRODUCTION: Cancer-related symptoms including pain, fatigue, depression, anxiety, and malnutrition drive poor quality of life and adverse clinical outcomes in cancer patients. While machine learning (ML) models are increasingly developed to predict these symptoms, existing studies are marked by significant heterogeneity in algorithms, sample sizes, and predictors, and lack quantitative synthesis...
BACKGROUND: Accurate attenuation correction (AC) is essential for quantitative positron emission tomography (PET). Conventional CT-based AC provides r...
Atypical glandular cells (AGC) are a diagnostic challenge. The aim of this study was to evaluate the efficacy and diagnostic performance of AGC detect...
BACKGROUND: Boron Neutron Capture Therapy (BNCT) utilizes high linear energy transfer (LET) charged particles from the 10B(n,α)7Li reaction to selecti...
BACKGROUND: Stromal tumour-infiltrating lymphocytes (sTILs) are prognostic in early-stage HER2-positive breast cancer, but their role in the context o...
BACKGROUND: Hippocampal avoidance whole-brain radiotherapy (HA-WBRT) is used to treat brain metastases while preserving cognitive function by sparing ...
BACKGROUND: Health economic modeling is conceptually sophisticated but operationally repetitive and resource intensive. Recent advances in large langu...
BACKGROUND: Lung cancer is a leading cause of cancer-related mortality, and its prognosis is often affected by comorbidities such as type 2 diabetes m...
The therapeutic landscape of haematological malignancies has evolved rapidly with the introduction of targeted therapies, immunotherapies, and cell-ba...
BACKGROUND: Accurate delineation of target volumes and organs-at-risk (OARs) is a critical yet labor-intensive component of rectal cancer radiotherapy...
BACKGROUND: Pulmonary ventilation imaging has become an increasingly important component in thoracic radiotherapy, as it is applied to functional avoi...
White blood cell differential (WBC-Diff) scattergrams are used to screen for hematological abnormalities in potential hematopoietic malignancies and a...
Endocervical gastric-type adenocarcinoma (GAS) is one of the most aggressive subtypes of cervical cancer and is frequently underdiagnosed due to morph...
BACKGROUND: Tumor-Specific Peptides (TSPs) and Tumor-associated Overexpressed Proteins (TOPs) are promising biomarkers for cancer diagnosis and monito...
BACKGROUND/AIM: Lung adenocarcinoma (LUAD) exhibits substantial molecular heterogeneity and variable clinical outcomes, highlighting the need for biom...
The cancer-testis antigen MAGE-A4 is an attractive immunotherapy target due to its high expression in various malignancies and restricted expression i...
Prediction of the outcome of large B-cell lymphomas/high-grade B-cell lymphomas (DLBCLs/HGBCLs) is based on clinical parameters and molecular testing,...
Thyroid cancer is one of the most prevalent malignancies of the endocrine system, comprising various subtypes such as papillary thyroid carcinoma (PTC...
Oxidative stress plays a significant regulatory role in tumor immune responses and can influence the efficacy of immunotherapy. Accordingly, therapeut...