Latest AI and machine learning research in oncology/hematology for healthcare professionals.
The integration of artificial intelligence (AI) in targeted anticancer drug delivery represents a si...
BACKGROUND: Most models of neoadjuvant chemotherapy (NACT) for breast cancer (BC) suffer from insuff...
Fine needle aspiration is a well-known procedure for the diagnosis and management of solid lesions. ...
Pheochromocytoma (PCC) is a rare neuroendocrine tumor driven by complex molecular mechanisms, notabl...
Leukemia is a hematologic tumor that proliferates in bone marrow and seriously affects the survival ...
Despite therapeutic advancements, metastatic and nonmetastatic castration-resistant prostate cancer ...
Early detection of lung cancer, which remains one of the leading causes of death worldwide, is impor...
Although immunotherapy combined with chemotherapy (ICT) is the standard treatment for advanced non-s...
Papillary thyroid carcinoma (PTC) is the main pathological subtype of thyroid cancer. Given the stro...
Hepatocellular carcinoma (HCC) ultrasound screening encounters challenges related to accuracy and th...
Cervical cancer ranks fourth globally in terms of both incidence and mortality among women, making t...
This review provides a comprehensive overview of current practices and recent advancements in the di...
Lysosomes have a tight connection to cancer and can eliminate cancer cells. The dismal prognosis of ...
Cancer pharmacogenetics has become a cornerstone of precision oncology. It offers the potential to o...
Breast cancer continues to be a major global health concern, particularly for women, despite improve...
Ocular adnexal lymphoma (OAL) is the most common orbital malignancy in adults. Advanced tools for pr...
Skin cancer has one of the highest incidence rates among malignancies. A shortage of clinical expert...
BACKGROUND: Although the clinical outcome of ER + breast cancer patients receiving tamoxifen after s...
This paper presents a novel transfer learning approach for segmenting brain tumors in Magnetic Reson...
Accurate identification and segmentation of brain tumors in Magnetic Resonance Imaging (MRI) images ...
This work introduces a hybrid computational approach in which degree-based topological descriptors a...