Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: Traditional biopsies pose risks and may not accurately reflect soft tissue sarcoma (STS)...
Malaria is an extremely malignant disease and is caused by the bites of infected female mosquitoes. ...
Cervical cancer stands as a prevalent gynaecologic malignancy affecting women globally, often linked...
Renal cell carcinoma (RCC), accounting for 90% of all kidney cancer, is categorized into clear cell ...
PURPOSE: Demonstrating and assessing self-supervised machine-learning fitting of the VERDICT (vascul...
Hepatocellular carcinoma (HCC) is a common malignancy with poor survival and requires long-term foll...
BACKGROUND: Pathological complete response (pCR) is an essential criterion for adjusting follow-up t...
Even though artificial intelligence and machine learning have demonstrated remarkable performances i...
This paper presents the implementation of two automated text classification systems for prostate can...
OBJECTIVES: In patients having naïve glioblastoma multiforme (GBM), this study aims to assess the ef...
Nucleotide-based molecules called DNA and RNA are essential for several biological processes that af...
Artificial intelligence (AI) stands at the threshold of revolutionizing clinical oncology, with cons...
BACKGROUND: It appears that tumour-infiltrating neoantigen-reactive CD8 + T (Neo T) cells are the pr...
The lymphocyte-specific protein tyrosine kinase (LCK) plays a crucial role in both T-cell developmen...
Deep learning image reconstruction (DLIR) algorithms employ convolutional neural networks (CNNs) for...
BACKGROUND: The coronavirus pandemic that started in 2019 has caused the highest mortality and morbi...
Disulfidptosis represents a novel cell death mechanism triggered by disulfide stress, with potential...
Papillary glioneuronal tumors (PGNTs), classified as Grade I by the WHO in 2016, present diagnostic ...
BACKGROUND AND PURPOSE: Molecular biomarker identification increasingly influences the treatment pla...
Machine-learning is a robust technique for understanding pollution characteristics of surface ozone,...
RATIONALE AND OBJECTIVES: Lymphovascular invasion (LVI) plays a significant role in precise treatmen...