The Effects of the COVID-19 Pandemic Response for People who are Marginalized

The current public health emergency due to the COVID-19 pandemic has changed the way we socialize with eachother, how we access health care, and our economic conditions over a short period of time. For people who are marginalized, these changes may cause decreases in income, loss of social support and community connections, unstable home environments, […]

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Evaluation of a small, gas powered, patient-responsive automated resuscitation/ventilation device adapted to pandemics of respiratory failure

The projects will involve the modifications of a small automated ventilator (breathing machine) suitable for use in pandemics and underresourced settings (outside hospital, in patient transport, small hospitals), especially suited to patients with severe lung disease. Partner organization will be able to improve the design of the current ventilator to make it better suited for […]

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Enzyme-free, one-step nucleic-acid detection for point-of-care COVID-19 diagnostic screening

Rapid diagnostic testing has proven essential for stemming the on-going COVID-19 pandemic. Given the global threat of COVID-19 transmission, millions of tests are needed per month to isolate infections and to facilitate safe reopening of societies. This internship will contribute to COVID-19 diagnosis efforts by first developing a faster and cost-effective protocol for viral nucleic-acid […]

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Real-time Optimization of Freshwater usage in Aquatic Facilities based on Occupancy and Water Quality data Using Machine Learning Methods.

In this research, occupancy monitoring data, temperature and humidity, and water quality parameters data collected through image processing and Internet of Things (IoT) sensors from multiple swimming pools are going to be processed and analyzed to identify the meaningful relations between these parameters and freshwater usage. The aim is to identify correlations between parameters and […]

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Improving protein-ligand binding models using multidimensional, mixed-confidence training data

There currently are no approved treatments for COVID-19, as global case counts increase daily. High infectivity and long time-to-recovery for COVID-19 cases is straining health-care systems globally. There is an urgent need to discover therapeutics that treat patients and improve clinical outcomes. Research and Development timelines associated with vaccines and new chemical entities will not […]

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Hand Pose Reconstruction with Advanced Sensor And Deep Learning

This project explores 3D pose hand reconstruction using machine learning models with sensor data from innovative input devices. The goal is to propose an approach that provides real-time high fidelity hand reconstruction and understand how users perceive its quality to improve user experience and social interaction in AR/VR. The proposed methodology is to train a […]

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Digitizing the End-of-Life Final Document Service

During COVID-19, unexpected death has become more commonplace, and many are finding themselves in the unfortunate position of dealing with their loved ones’ estates while continuing to worry about their own health and well-being. In a time where we are asked to stay indoors to protect ourselves and help ‘flatten the curve’, grieving family members […]

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Semi and weakly supervised clinical data labelling for deep learning NLP

We are building a machine learning algorithm to be able to better understand the messy clinical notes that doctors write on patients and to automatically structure them. This will help hospitals and healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick COVID patients are and how […]

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Modelling COVID-19 in humanized lungs ex vivo

The outbreak of COVID-19 has devastated the whole world. The conventional drug-discovery-pipeline to develop a new drug for this novel disease does not fulfill the immediate demand for a therapy. The scientific outcomes of in vitro models do not recapitulate the physiological conditions and in vivo models are not yet operational. Therefore, there is a […]

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Polyamide-Based Triboelectric Nanogenerator for High Performance Energy Harvesting & Self Powered Sensing Applications

Fast development of more powerful and smaller mobile electronics suggested the need for development of sustainable energy resources as well as innovative sensor systems with improved accuracy and reduced power consumption. Moreover, utilizing appropriate sustainable energy resources would be beneficial for environmental protection. Such demands resulted in a great interest toward development of the triboelectric […]

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