The University of Guelph’s Dr. Graham Taylor is set to play a pivotal role in a groundbreaking international initiative aimed at leveraging artificial intelligence (AI) to better understand the impact of climate change on biodiversity.
Exploiting catalysts' capabilities, Dr. Chen's team employs UV-Vis spectroscopy and SPECM to enhance water electrolysis efficiency for sustainable hydrogen fuel generation.
Water's Extraordinary Secret: Catalysts and Clean Energy
GBADs charts a course in the data labyrinth, overcoming obstacles and unearthing keys to a healthier, data-driven future.
One Health Renaissance: GBADs at the Helm
Leading the announcement is Dr.
Researchers develop an automated method that can detect a prevalent liver disease at the primary care level.
A Global Health Concern
Not all heroes wear capes, but they do wear armour. Meet Dr. Michele Oliver, a trailblazer from the School of Engineering at the University of Guelph, who is working towards making armour more accommodating for the real-world superheroes - our soldiers. The twist? Her study focuses on determining whether armour needs to be tailored for female soldiers, a long-ignored demographic in military armour design.
Researchers from across campus supported with $40k in seed funding.
The production of key chemical compounds could aid in the development of new cancer therapies
The COVID 19 pandemic demonstrated a multitude of human behaviours that can drive the spread of disease. From mask-wearing, social distancing, vaccine hesitancy to pandemic fatigue. Government and health agencies struggled to keep up with policy, as the science and the population’s willingness to adopt changed.
Don't underestimate the power of social media! Social media is no longer just a place for selfies and memes. Dr. Rozita Dara, from the School of Computer Science, has recently unlocked a fascinating use of Twitter that could change the face of disease surveillance and management. This new method involves the analysis of Twitter data, aiding in predicting disease trends and gauging public perception toward health policies.
A Leap in Public Health Management Through Machine Learning