Create Machine Learning models that focuses on diagnosis in order to recommend more personalized treatment plans based on patient data, including genetic information, lifestyle, and response to previous treatments.
Collaborate with international cancer research centers to access a diverse range of patient data for model training, ensuring global applicability.
Organize workshops and training sessions for oncologists to understand and interpret Machine Learning model predictions.
Develop visualization tools that map out how data inputs affect model outputs, making it easier for medical professionals to grasp the reasoning behind specific recommendations.