SABCS 2018: Highlights in breast cancer treatment
SABCS 2018: Highlights in breast cancer treatment
Circulating tumour-cell count used to decide between treatments for breast cancer patients
Role of chemotherapy in the treatment of metastatic breast cancer patients
Results of the Beat AML umbrella study for previously untreated acute myeloid leukaemia
Determining the prognosis of patients with myelodysplastic syndromes using machine learning
Machine learning algorithm improves prognosis accuracy for patients with myelodysplastic syndromes
Paediatrics and AML at HARMONY
The importance of big data for blood cancer
The value of a project like HARMONY
Completing genetic assessments for elderly breast cancer patients
Molecular stratification of melanoma and the high burden of mutations
Using mobile technologies for cervical cancer data collection