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Diaxxo (diaxxo.com) is a start-up originated at ETH Zürich, where in the past 4 years we have
developed and prototyped an innovative Point-of-Care Polymerase Chain Reaction (PCR) device. Our
vision is to bring the power of molecular diagnostics to every doctor’s office, thanks to our new
pre-loaded PCR test kits that allow for simpler and faster sample preparation steps. In 2020 our
devices have been used by more than 250 laypeople for the rapid detection of COVID-19 in a field
study that we run at ETH Zürich, and our systems are currently being tested at the Swiss Tropical and
Public Health Institute (Swiss TPH). - Biology
- Bachelor Thesis, Master Thesis, Semester Project
| Diaxxo (diaxxo.com) is a start-up originated at ETH Zürich, where in the past 4 years we have
developed and prototyped an innovative Point-of-Care Polymerase Chain Reaction (PCR) device. Our
vision is to bring the power of molecular diagnostics to every doctor’s office, thanks to our new
pre-loaded PCR test kits that allow for simpler and faster sample preparation steps. In 2020 our
devices have been used by more than 250 laypeople for the rapid detection of COVID-19 in a field
study that we run at ETH Zürich, and our systems are currently being tested at the Swiss Tropical and
Public Health Institute (Swiss TPH). - Engineering and Technology
- Master Thesis, Semester Project, Student Assistant / HiWi
| Following trauma or due to degeneration it can be necessary to replace one or more intervertebral discs with an implant, a so-called Total Disc Replacement (TDR). Such devices enable motion though surfaces articulating against each other. While this treatment is clinically successful, it is connected to considerable complication and reoperation rates. Therefore, we are optimizing the design of such an implant to address these issues.
While many different designs and design types have been proposed and are used in clinical practice, there is no consensus on what design or design type is the most beneficial. However, it is hypothesized, that replicating the situation that is present in healthy (asymptomatic) subjects as closely as possible, is optimal. Since the motions of the cervical spine are coupled (coupling of rotation and translation as well as multiple rotations) the optimal design of the articulating surfaces is not obvious. Therefore, this master’s thesis project aims at designing the implants articulating surfaces using parametric design optimization in LS-OPT based on finite element simulations. - Engineering and Technology
- Master Thesis
| The focus of this project is on the fabrication of microelectrodes for advanced neural interfaces in a cutting-edge cleanroom environment. Our research aims to develop high-resolution neural probes utilizing state-of-the-art microfabrication techniques. - Biomedical Engineering, Biosensor Technologies, Mechanical Engineering, Nanotechnology
- Master Thesis, Semester Project
| This project focuses on the design of low-noise, low-power, compact amplifiers for next-generation neural interfaces. - Electrical and Electronic Engineering
- Master Thesis, Semester Project
| Time-series data is increasingly prevalent across various domains, including finance, healthcare, and environmental monitoring. The ability to extract meaningful information from time-series data is crucial for prediction, classification, and anomaly detection. This project focuses on exploring different time-series representations and their impact on machine learning tasks. - Artificial Intelligence and Signal and Image Processing
- Master Thesis, Semester Project
| Epilepsy is a disorder characterized by recurrent seizures and for some patients surgery becomes a viable option for treatment. Intraoperative electrocorticography (ECoG) is used during epilepsy surgery to identify epileptiform patterns in real-time. We recently proposed a Brain-Computer Interface (BCI) that can detect epileptiform patterns during surgery: https://dx.doi.org/10.1038/s41467-024-47495-y. This project proposes the optimization of such a system, leveraging the BCI2000 software platform and the DYNAP-SE neuromorphic chip. - Biomedical Engineering, Information, Computing and Communication Sciences
- Semester Project
| Drying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Roundwood is sorted by quality and species in the forestry (and in sawmills). Based on the dataset with images of roundwood (from partner sawmill³) containing quality and species labels, a classification model has been developed for predicting the species and the quality of a stem based on the image of its cross-section. The detailed description of the model architecture and the results can be found in the paper: https://www.sciencedirect.com/science/article/pii/S0957417423036217. The task of the project is to
develop an iOS or Android App that based on the model results.
- Information, Computing and Communication Sciences
- Bachelor Thesis, Lab Practice, Master Thesis, Semester Project
| This project contains the use of analytical models to calculate the frequency-dependent inductance of inductors over a wide frequency range. Also part are the investigation and application of suitable methods in order to perform time-domain circuit simulations of the converter system with a varying, frequency-dependent inductance. The goal is to develop simplified models that predict the frequency-dependent behavior of the converter system the inductor is employed in. - Electrical Engineering
- Master Thesis, Semester Project
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