Latest AI and machine learning research in breast cancer for healthcare professionals.
Implant-based reconstruction is the most common form of breast reconstruction following mastectomy. ...
To assess chemical degradation of various liquid chemotherapy and opioid drugs in the novel RxDestr...
PURPOSE: Radiation therapy (RT) is prescribed for curative and palliative treatment for around 50% o...
BACKGROUND: Early radiation-induced temporal lobe injury (RTLI) diagnosis in nasopharyngeal carcinom...
Precision oncology involves effectively selecting drugs for cancer patients and planning an effectiv...
Glioblastoma is a heterogeneous lethal disease, regulated by a stem-cell hierarchy and the neurotra...
BACKGROUND: For breast cancer patients undergoing neoadjuvant chemotherapy (NAC), pathologic complet...
Accurate estimation of reference evapotranspiration (ET) is profoundly crucial in crop modeling, sus...
Stereotactic Body Radiation Therapy (SBRT), alternatively termed Stereotactic ABlative Radiotherapy ...
PURPOSE: This study aims to evaluate the impact of key parameters on the pseudo computed tomography ...
PURPOSE: Detailed and accurate absorbed dose calculations from radiation interactions with the human...
Ionizing radiation has very complex biological effects, such as inducing damage to DNA and proteins...
BACKGROUND: Female carriers of a or germline mutation face a high lifetime risk to develop breast ...
We describe a novel method to achieve a universal, massive, and fully automated analysis of cell mot...
BACKGROUND: Automated brain tumor segmentation methods are computational algorithms that yield tumor...
Lung malignancies have been extensively characterized through radiomics and deep learning. By provid...
Because histologic types are subjective and difficult to reproduce between pathologists, tissue morp...
Purpose; For shoot-through proton treatments, like FLASH radiotherapy, there will be protons exiting...
The therapeutic concept of unleashing a pre-existing immune response against the tumor by the applic...
This paper focuses on quantifying the uncertainty in the specific absorption rate valuesof the brain...
We present DeepDose, a deep learning framework for fast dose calculations in radiation therapy. Give...