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Background
Precision medicine based on cell-based assays has gradually gained popularity and is now essential for the treatment of patients suffering
from diseases with complex treatment regimens, such as rheumatoid arthritis.
Classifying patients according to their synovial fibroblast (SF) functional signature could lead to targeted therapies with a much higher
success rate than currently available disease-modifying drugs. To achieve this goal, we have successfully developed a series of assays that
enable functional screening of synovial fibroblasts and form the basis of a drug discovery approach for more effective personalized
treatment.
Aim
The aim of this work is to develop a model for automatically predicting the cellular stage from single-cell microscopy images, as such a
model would facilitate the personalization of treatments for patients suffering from rheumatic diseases. Therefore, the functional stage of
synovial fibroblasts (SF) - the cells of interest - should be classified into biologically meaningful classes based on physiological processes
such as mitochondrial activity, oxidative stress or apoptosis. Since some cells cannot be clearly assigned to a specific class, it may be
interesting to use not only supervised but also semi- or unsupervised approaches. All in all, the final goal is an easy-to-use pipeline for
single cell segmentation and classification that provides biologically meaningful outputs and visualizations. - Artificial Intelligence and Signal and Image Processing
- Master Thesis
| Gait patterns in multiple impairments present unique and complex patterns, which hinders the proper quantitative assessment of the walking ability for chronic ambulatory conditions when translated to daily living. In this project, we will focus on finding clusters of gait patterns through unsupervised learning from a large dataset of incomplete spinal cord injury individuals. The goal is to investigate hidden patterns in relation to the type of injuries and find their application for future diagnosis and rehabilitation treatment.
Your work will guide future rehabilitation methods in general clinical practice, through applied classification and dimensionality reduction in Biomechanics of walking.
Goal: Develop an unsupervised clustering pipeline for a large dataset of gait patterns from spinal cord injured individuals for class similarity evaluation
- Engineering and Technology, Expert Systems, Medical and Health Sciences, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing, Simulation and Modelling
- Bachelor Thesis, ETH Zurich (ETHZ), Internship, Master Thesis
| Basierend auf Ihren Kenntnissen aus der Vorlesung «Optimierung landwirtschaftlicher Produktionssysteme» erstellen Sie ein Optimierungsmodell in Excel oder R und beantworten damit eine von Ihnen erarbeitete Forschungsfrage. - Agricultural Economics, Environmental Sciences, Operations Research
- Bachelor Thesis
| In this project, we will develop an autonomous wheelchair control for a novel wheelchair with omnidirectional control and test it in a final product. You would develop an algorithm for enabling shared-control navigation for omnidirectional control under complex environments using the architecture proposed in [2] and perform an evaluation with users at a large airport. - Biomedical Engineering, Computer Vision, Digital Systems, Expert Systems, Information Systems, Intelligent Robotics, Interdisciplinary Engineering, Medical and Health Sciences, Modem Technology, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Software Engineering
- Bachelor Thesis, Collaboration, ETH Zurich (ETHZ), Internship, Lab Practice, Master Thesis, Semester Project
| This hands-on work (internship or semester project) within a clinical setting will bring you close to intelligent health management while exploring multiple data systems. You will experience multimodal data of robotics rehabilitation, general clinical practice, and detailed clinical studies applied in classification and dimensionality reduction. - Biomechanics, Computer Graphics, Computer Vision, Computer-Human Interaction, Engineering and Technology, Expert Systems, Information Systems Development Methodologies, Information Systems Management, Intelligent Robotics, Interfaces and Presentation, Medicine-general, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Operating Systems, Pattern Recognition, Programming Techniques, Rehabilitation and Therapy: Occupational and Physical, Sensory Systems, Signal Processing, Simulation and Modelling, Software Engineering, Sports Medicine, Virtual Reality and Related Simulation
- Bachelor Thesis, ETH Zurich (ETHZ), Internship, Lab Practice, Master Thesis, Other specific labels, Semester Project
| 11 - 15 September 2023 - Through a combination of lectures, interactive workshops and group projects you will develop new insights into current research, connect and exchange ideas and benefit from the collective expertise of our partner universities. - Engineering and Technology
- IDEA League Summer School (IDL), Summer School
| tba. End of August - This summer school focuses on computational design which is essential for effectively exploring the large design space and thus to reach the full potential of additive manufacturing. - Engineering and Technology
- IDEA League Summer School (IDL), Summer School
| Around 40% of persons with SCI in Switzerland report shoulder pain, and even higher proportions suffer from shoulder pathologies, limiting in their mobility and participation. Shoulder overuse is seen as a major contributor to such shoulder complaints, however, little is known about the requirements of daily life with respect to shoulder load, and risk factors for overuse. Currently, a proof of concept methodology has been developed for the classification of wheelchair-related activities, based on wearable sensor data (www.mdpi.com/1424-8220/22/19/7404).
However, further research is required to achieve a usable algorithm for real-life environments. We will focus on 1-class classifiers and unsupervised clustering for exploring higher accuracies in unknown situations. - Biomechanical Engineering, Biomechanics, Interdisciplinary Engineering, Rehabilitation Engineering, Sport and Exercise Psychology, Sports Medicine
- ETH Zurich (ETHZ), Internship, Master Thesis
| We are looking to hire 2 postdoctoral fellows who are motivated, hard working, and creative scientists, engineers, and/or doctors! The lab is committed to fostering lifelong learners in an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/
We are recruiting fellows from diverse backgrounds interesting in solving tough problems in neural interfacing.
Learn more about this position here: https://academicpositions.harvard.edu/postings/11974
● Number of Positions: 2
● Expected Start Date: July 17, 2023
○ Deadline for application: March 1, 2023 - Biology, Engineering and Technology, Medical and Health Sciences
- Post-Doc Position
| In this master's thesis project, we are looking for a candidate to apply machine learning techniques to correct and predict signals of incomplete CT perfusion imaging for ischemic stroke. We hope to use machine learning techniques to de-noise and correct for the truncation in CT perfusion signals. In particular, we aim to infer the true attenuation curve after the truncation time-point. - Artificial Intelligence and Signal and Image Processing, Central Nervous System, Radiology and Organ Imaging
- Master Thesis
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