Web-based Goal Management Training™ in older adults with cognitive impairment: a randomized-controlled trial examining feasibility and efficacy – Year two

As the Canadian population is aging, more and more Canadians will show cognitive decline. Aging and certain types of neurological disorders is often associated with deficits in executive functions: goal maintenance, planning, task switching and attention. These functions are critical for the maintenance of functional independence. Few validated rehabilitation approaches for these types of deficits […]

Read More
Development of Graphene Modified Cathode for Next Generation Aqueous Rechargeable Lithium Batteries

Aqueous rechargeable lithium battery has received great attention recently due to the less toxicity, lower cost and higher safety compared to the non-aqueous systems. When using the commercially available lithium manganese oxide as active materials, there are demands in suppressing manganese dissolution and graphite consumption in the cathode. As a potential solution to achieve these […]

Read More
Characterization of the colloidal properties of concentrated casein micelles and improvement of the functionality of concentrated milk products using membrane filtration

The project aims at obtaining new ingredients from concentrated milk, and understanding how changes in their physical and chemical properties may affect their functionality. Membrane filtration processes are widespread in the dairy industry and they are all based on physical separation of the components because of their size. During these processes, the protein particles in […]

Read More
Internet of Smarter Things: A Data-driven Perspective

All over the world, sensors, smart objects, and other devices are connecting through the reach and power of the Internet. And they are dynamically generating, analyzing, and communicating intelligence to increase operational efficiency, power new business models, and improve quality of life. Connecting the unconnected is the Internet of Things (IoT). The project would focus […]

Read More
Conversational Response Generation with Linguistic Context and Emotional Context

The objective of this project is to develop methodologies for automatically generating responses in a natural language to converse with humans. Responses directly generated from the question-answer database are inflexible and cannot meet users’ needs. On one hand, the responses should take into account the previous utterances that can keep a conversation more active. On […]

Read More
Design and advancement of Graft Enabled Antibody Therapies (GrEAT)

Membrane proteins such as ion channels, transporters or G-protein coupled receptors (GPCRs) are excellent but difficult drug targets involved in a large number of life-threatening diseases and conditions. These proteins, over-expressed and essential for disease onset and progression, are naturally targeted by toxins from venomous organisms. During evolution, these toxins have been optimized to efficiently […]

Read More
Developing a new magnetic sensor for application in biosensing and surveying

Detecting subtle chemical and physical changes occurring at the early stages of chronic disease and many other infectious diseases caused by harmful bacteria is still a challenge, as ultra-sensitive sensors with large signal-to-noise-ratio are required to detect them. We recently explored new ways to enhance the sensitivity of magnetic nano-sensors and theoretically demonstrated that under […]

Read More
A fully customized image sensor for fluorescence imaging in biomedicine

Customized image sensors will be designed by EnviroSen specifically for advanced microscopes used in biomedical imaging. The goal is to develop image sensors with improved efficiency, image resolution and speed compared to existing technologies for novel microscopes for fluorescence lifetime imaging. The McMaster Biophotonics group has recently developed a novel microscope that is capable of […]

Read More
Computational Approaches for Characterizing Non-canonical Tandem Mass Spectra

Extensive research has been conducted for the computational analysis of mass spectrometry based proteomics data, however most of the traditional computational approaches take the assumption that the acquired spectra are generated from the fragmentation of a single precursor and the peptide is simply a linear sequence of amino acid residues. This ubiquitous assumption is impeding […]

Read More
Dual inhibition of CA9 and CA12 as effective novel anti-cancer therapy

Hypoxic cells comprise most aggressive and therapy resistant population in the tumors therefore targeting proteins that are essential for hypoxia survival is an effective novel anti-cancer treatment. We have an ability to generate highly specific humanized synthetic antibodies against target of choice. We will generate antibodies against proteins that promote hypoxia survival, test their effect […]

Read More