Latest AI and machine learning research in breast cancer for healthcare professionals.
PURPOSE: To develop and evaluate the clinical applicability of advanced machine learning models that simultaneously predict multiple optimization objective function weights from patient geometry for intensity-modulated radiation therapy of prostate cancer.
PURPOSE: The treatment of thoracic cancer using external beam radiation requires an optimal selection of the radiation beam directions to ensure effective coverage of the target volume and to avoid unnecessary treatment of normal healthy tissues. Intensity modulated radiation therapy (IMRT) planning is a lengthy process, which requires the planner to iterate between choosing beam angles, specifyin...
In the classification of breast cancer subtypes using microarray data, hierarchical clustering is commonly used. Although this form of clustering show...
Among the chemometric tools used in rational drug design, we find artificial neural network methods (ANNs), a statistical learning algorithm similar t...
A clinical decision support system is able to provide oncologists with suitable treatment options at the moment of decision making regarding which che...
Reactivation of the hepatitis B virus (HBV) has been reported in patients receiving immunosuppressive therapy or chemotherapy. We report a case of HBV...
Breast cancer is the most commonly diagnosed cancer among women, but despite survival rates improvement, it is still the second major cause of cancer ...
INTRODUCTION: Despite the patient and medical staff exposure to radiation in endovascular aneurysm repair, the benefits of this abdominal aortic aneur...