The initiative will prioritize scientific and clinical research data needs for addressing the burden of cancer in children, adolescents, and young adults. We must determine which research questions should be answered.
Answer one or more of the following questions in your response:
- What research questions can be addressed through improved childhood cancer data sharing?
- What common data would be needed to answer those questions?
Gain a better understanding of how p53 tumor suppression could potentially be restored in those with Li–Fraumeni syndrome using gene editing techniques or other mechanisms.
The proposed work aims to use Data collection and data analytics tools with machine learning algorithms to analyse the incidence of cases of retinoblastoma in Indian children. The aim is to study the trend in incidence , recurrence and survival prediction in these cases.