In this study, we are going to synthesize gold nanoparticles by biological method using Z. officinale and evaluate their antimicrobial activity against antimicrobial resistance Pseudomonas aeruginosa. Moreover, we are going to study the synergistic effects of the gold nanoparticles with ceftazidium antibiotic and others with different concentrations against antimicrobial resistance Pseudomonas aeruginosa isolates.This area of […]

In this project, researchers from the NeuroFUS lab at the University of Calgary led by Dr. Pichardo and Dr. N’Djin’s group from LabTAU at INSERM and the University of Lyon collaborate to improve focused ultrasound (FUS) technology by characterizing a new ring-shaped transducer. FUS is a flexible technique that targets deep tissue with sound waves […]

How complex organs develop from a small set of undifferentiated cells is a fundamental question in biology. Genetic mutations that alter organs shape give us important insight to answer this question. This project aims to use CRISPR/CAS9 technology to introduce different types of genetic constructions into the model plant Arabidopsis thaliana to understand the development […]

Human health is impacted every day by metal contact, ranging from direct contact with metal surfaces to exposure to corrosion by-products, nanoparticles, or ions. The interaction of human proteins with these materials remains poorly understood, but metal-protein contact has been implicated as the cause of many adverse physiological reactions, such as allergies, contact dermatitis, and […]

From year to year, an increasing number of people face a wide range of gastrointestinal disorders and general health problems, often caused by an imbalance in the gastrointestinal microbiota. That is why developing products to normalize the state of the microflora is a priority in creating preventive health products. It has been established that products […]

Gene therapy has the potential to cure a wide range of debilitating genetic diseases. One of the best ways to correct a genetic defect is to use a viral vector to deliver a functional copy of the gene to cells in the body so that they can express a functional protein and reverse the disease […]

This project will focus on transforming scientific research excellence into improved healthspan via the development of improved diagnostics to allow personalized therapeutic strategies, with novel treatment and rejuvenation approaches targeting cardiometabolic disease. Exciting preliminary data has been generated by the York University research team. The Konkuk University research team have the established expertise to capitalize […]

The internship opportunity involves active participation in an agile AIS AI team dedicated to advancing the DeepMSI AI product. The intern will engage in impactful research under the AI team lead, focusing on refining core AI algorithms with a special emphasis on multispectral retinal image processing and deep learning. The objectives include exploring advancements in […]

Background- Bacterial analysis in the field is complex and often imprecise. It is therefore difficult to detect and identify a specific strain in a timely manner, which complicates the choice of an optimal treatment regimen. This is a critical issue and bacterial infection are taking an increasing toll on the population and the health services. […]

The discovery of CRISPR-based gene therapy methods using viral vectors, and SARS-CoV-2 vaccines based on lipid nanoparticle formulations has revolutionized the field of personalized medicine, and promises revolutionary applications for curing cancer, genetic disorders, and other diseases on the molecular level. To facilitate the validation of new therapies, biopharma companies use analytical ultra-centrifugation (AUC) to […]

Bio-Brick Labs manufactures concrete and natural stone replacements for veneers and rainscreen applications. The material is made of 85% recycled material, captures CO2, and requires no heat, high-energy machinery, or exotic materials to make. This results in a carbon-negative product during the lifespan of the material. This project aims to evaluate the in-service performance of […]

The proposed research aims to apply the capabilities of machine learning to study molecular models of cell membranes. Cell membranes are composed of fluid lipid bilayers with a highly dynamic nature. By developing neural network models for the simulation of lipid bilayers, we seek to overcome the shortcomings of current computational methods, providing superior accuracy […]