Automated Detection and Classification of Adverse Events in Surgery

During surgeries, it is important to keep track of what is happening with the patient, the steps being taken during the surgery by the operating staff, and unforeseen events that occur. All the previous correspond to the surgical workflow. Keeping track of the workflow is essential to achieving a better and safer surgery. In the […]

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Extracting supplier information from the web

Using web crawling technology in coordination with state of the art machine learning techniques, the project aims to mine useful, structured information about the world’s suppliers from the web. Recent advances in artificial intelligence have increased the viability of such autonomous systems for extracting coherent information from arbitrary human-produced content. By leveraging these technologies, our […]

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Standard Response Documents Application

Developing a model for a system can come with a lot of uncertainty, especially in the early stages of development. Recent research has be done into removing uncertainty during early stage models. Doctalk plans to use modern research to develop a viable product for market, while contributing to the process of the research being applied […]

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Deep Collaborative Filtering using two stage information Retrieval

The company wants to develop a state of art recommendation system for the clients. A recommendation system is a piece of software that provides products’ suggestions to customers on a website. For example the products suggestions that can be seen on Amazon’s web page are generated by its recommendation engine. The typical recommendation engines work […]

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Speech recognition for older, pathological voices

Some diseases and brain injuries can seriously impair language. Patterns in an individual’s speech can allow computers to describe these impairment with a high degree of accuracy. These techniques can be used to test large groups of people for drug trials and potentially replace pen-and-paper based testing methods. To fully automate this process, speech recognition […]

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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 […]

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Image Style Classification and Its Application on User Engagement

In this project, we will apply machine learning to perform image style classification. We will build a system that uses image style classification to increase user engagement in an eCommerce platform setting. We will study the effects of user preferences for particular image styles on their engagement with the platform. Image style classification is the […]

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Improved and predictable bone regeneration using synthetic dicalcium phosphate grafts containing a novel bone anabolic conjugate

Dental implants are commonly used to replace missing teeth. There are several surgical techniques used with bone replacement materials to achieve alveolar bone regeneration. Dicalcium phosphate cements such as monetite, are synthetic materials made very easily and get removed as bone is regenerated within or around them. C3 is a novel drug that is a […]

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Increasing Patient Engagement and Informing Marketing Decisions through the use of Patient Personas and Patient Journey Mapping

Mobile health (mHealth) apps allow patients to practice self-care and manage their chronic diseases. Common functions in mHealth tools allow users to monitor their symptoms and mood, keep a thought diary, track medication use and trend information; this provides data that can be used to better understand patient behaviour to ensure that patient needs are […]

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Construction of a Genetic Variant Store

This project proposes to explore and implement a method of storing and retrieving data relating to genetic variation across a population of individuals. Due to the large amount of genetic information each person possesses, such a database requires special attention to minimize the amount of data stored and to create efficient methods of accessing the […]

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NLP Techniques for Automated Entity Recognition

The primary goal of this project is to explore a variety of new and existing Natural Language Processing (NLP) techniques to improve the performance, and further the automation of, Knote’s text analysis software – specifically with entity recognition. Entity recognition is the process of identifying all groupings of words in a collection of documents that […]

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