Multi-user Training Software Development and Otoscope Tracking for Otolaryngology Education

Simulation is being used increasingly to improve medical education by providing students and trainees with greater access and opportunity to learn critical skills without affecting actual patient care. To this end, OtoSim has developed a multi-user training platform and an otoscope tracking device. The multi-user training platform allows the trainee to self-learn while being electronically connected to a central database for monitoring and advice.

Automated CNC processing of complex and high-aspect-ratio microfluidic devices for biomedical applications

Disposable microfluidic devices, also known as labs-on-a-chip, made out of plastic materials have seen increasing applications in chemical and biomedical analysis. In most applications, microfluidic devices usually incorporate small channels and chambers for micro sized dimensions, using heights between a few hundred to a few micrometers. Currently, manufacturing processes have been established to create these sub-millimeter deep features. However, in other applications, higher (or deeper) features of a few millimeters may be needed.

10 Channel Prototype to 16 Channel Medical Grade EEG Headset

Epilepsy affects an estimated 50 million people worldwide. These people can experience unexpected seizures that makes it risky for them to engage in everyday activities like driving and walking. A portable wireless neuromonitoring headset prototype that is worn on the head has been developed by Avertus Inc. to address this issue. The headset is designed to read brain waves, and, through a wireless connection to a cell phone, warn the wearer that the device has measured brain activity characteristic with an oncoming seizure.

Tissue Microstructure of Surgical Specimens depicted with Optical Coherence Tomography

Perimeter Medical Imaging (PMI) has developed an investigational imaging device to aid in achieving clear margins during surgical oncology procedures. This project will employ PMI’s device to image multiple types of human tissues, which have been previously removed during elective or medical procedures. This study will correlate the images obtained using PMI’s device with the true microscopic structure of the tissue, as confirmed by a pathologist.

Detection and Removal of EEG Chewing and Ambulation Artifacts for the Purpose of Increasing Robustness of Seizure Detection

The aim of the internship is for the intern to take up the challenge of detecting and removing noise from brain signals that are recorded using electroencephalogram (EEG). The noise that is of interest in the project is mainly caused by the subject chewing and walking. These noises are found to have caused the inability to have a high accuracy in performing seizure detection using EEG. Machine learning-based approaches are to be taken in the attempt to characterize these noises and subsequently eliminate it from the recorded brain signal.

Optical Tissue Imaging DICOM/PACS Integration

The aim of this project is to research and develop a new DICOM modality for the optical coherence tomography images obtained by Perimeter’s Optical Tissue Imaging (OTISTM) device. Following the creation of a suitable modality, a novel solution for transfer to and integration with the PACS servers utilized by current Perimeter customers will also be developed. The device currently allows for local storage and review of obtained data, with images only ever transferred onto different servers by Perimeter staff.

Using multivariate deep-learning algorithms for automatic quality control of high-resolution MRI

NeuroRx is an imaging contract research organization (CRO) specialized in the central nervous system (CNS) that utilizes state-of-the-art digital image processing techniques to produce accurate and precise outcome measures for clinical trials of drugs in development. Prior to analysis, all scans must pass Quality Control (QC). The goal of this project will be to incorporate advanced computer algorithms to automatically classify the quality of high-resolution structural brain Magnetic Resonance Images. The advanced computer algorithms will include deep learning algorithms.

Development of a microfluidic blood-brain barrier model for drug screening and testing

"Poor efficacy and unpredictable toxic effects are leading causes of removal of a drug from the market. Many drugs act unpredictably in patients because they are tested in labs using cells grown in plastic dishes and animals that poorly mimic humans.

Radiation Modulated Nanomedicine Delivery

The current survival times for breast cancer patients with brain metastasis range from 2 to 16 months suggesting a strong need for improvements in their therapeutic care. Although radiation therapy is the standard of care for these patients, combination with chemotherapy has demonstrated promising therapeutic benefits. The hypothesis of this research program is based on the belief that optimizing combination of radiation and chemotherapy has the potential to significantly improve the treatment outcome for patients with breast cancers that have metastasized to the brain.

The use of inertial measurement units to quantify sport-specific movement patterns in elite sprint kayak athletes

Canoe kayak athletes use difficult body movements to move their boats at fast speeds. It has been hard to measure body movements that are needed to win paddling races in the past. Wearable devices are now able to measure athlete’s body movements when they are paddling. The goal of this research is to learn new ways to give athletes information about their movements so they can be better at their sport. The intern will learn how to use the wearable devices to help the athlete’s become faster paddlers.

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