Abstract
In this paper, we present the concept of a complex framework, which is primarily designed to model and simulate the structures of and the processes in the human body and the interaction of nanobots with it. Medical nanobots are envisioned to perform their work in the body, for example by recognizing and destroying cancer cells. They are generally attributed an important role in a future precision medicine-based health system. It is crucial to simulate the use of nanobots in a human body before they are actually used. However, only with a comprehensive body simulation framework, like the presented medical holistic simulation architecture (MEHLISSA), it is possible to achieve meaningful results. As we model the human body as close to reality as feasible, this allows for reliable statements about the effectiveness and efficiency of the use of nanobots in vivo. To illustrate the advantages of an holistic simulation, we discuss the use case of metastasis prevention modelled in MEHLISSA.
| Original language | English |
|---|---|
| Title of host publication | NanoCom '20: Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication |
| Editors | William E. Bentley, Gregory F. Payne, Valeria Loscri |
| Number of pages | 6 |
| Publisher | ACM |
| Publication date | 23.09.2020 |
| Pages | 1–6 |
| Article number | 9 |
| ISBN (Print) | 978-1-4503-8083-6 |
| DOIs | |
| Publication status | Published - 23.09.2020 |
| Event | 7th ACM International Conference on Nanoscale Computing and Communication - Virtual, Online, United States Duration: 23.09.2020 → 25.09.2020 Conference number: 163745 |
Research Areas and Centers
- Centers: Center for Open Innovation in Connected Health (COPICOH)
- Research Area: Intelligent Systems
- Academic Focus: Biomedical Engineering
DFG Research Classification Scheme
- 409-04 Operating, Communication, Database and Distributed Systems
