# ASCAPE: An open AI ecosystem to support the quality of life of cancer patients

arXiv: https://arxiv.org/abs/2308.14390 · HTML: https://mlsanity.com/paper/2308.14390/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 17 references that are in the map.
- First posted on arXiv 28 Aug 2023.

## Builds on (most cited first, 3 of 3)

- [Deep Learning with Differential Privacy](https://mlsanity.com/paper/1607.00133/) (2016)
- [Explaining Explanations: An Overview of Interpretability of Machine Learning](https://mlsanity.com/paper/1806.00069/) (2018)
- [Noise Contrastive Priors for Functional Uncertainty](https://mlsanity.com/paper/1807.09289/) (2018)

## Abstract (arXiv)

The latest cancer statistics indicate a decrease in cancer-related mortality. However, due to the growing and ageing population, the absolute number of people living with cancer is set to keep increasing. This paper presents ASCAPE, an open AI infrastructure that takes advantage of the recent advances in Artificial Intelligence (AI) and Machine Learning (ML) to support cancer patients quality of life (QoL). With ASCAPE health stakeholders (e.g. hospitals) can locally process their private medical data and then share the produced knowledge (ML models) through the open AI infrastructure.