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The drugs your doctor prescribes to treat your high blood pressure could be more effective if they were best suited for your gender. 

In a study using the world’s first computational female kidney model, developed by researchers at the University of Waterloo, high blood pressure medication was shown to be more effective when gender was taken into consideration.

On Friday, October 18 and Saturday, October 19, 2019, the first Waterloo Student Conference in Statistics, Actuarial Science, and Finance took place.  While this event was hosted by the Department of Statistics and Actuarial Science, it was the students who brought it to life.  This two-day conference was organized by students, for students.

Predicting and controlling disease outbreaks would be easier and more reliable with the wider application of mathematical modelling, according to a new study. 

The study was conducted by researchers at the University of Waterloo, University of Maryland and Yale’s School of Public Health. 

A new computer kidney developed at the University of Waterloo could tell researchers more about the impacts of medicines taken by people who don’t drink enough water. 

In a recent study, Waterloo researchers found that the elderly, people with impaired kidney function and those taking a combination of certain drugs need to be extra mindful of their water intake.

The world of health care is rapidly changing as big data, artificial intelligence (AI), new technologies and systems disrupt traditional health care. The future of medicine is being reimagined with these advancements. In the Faculty of Mathematics, researchers, students, and alumni are developing new ways to look at the world of medicine and health care. This is impacting predictions, precision, and prevention and treatment and can help people live healthier lives.

Isaac Ellmen (BMath ’19) and his co-founder Danielle Rose (BSc ‘19, University of Guelph) were one of the recipients of the grand prize of direct equity investments worth $50,000 in the Velocity Fund Competition in Toronto on September 19, 2019. SquidBio was started in November of 2018 and later joined Velocity Science.

University of Waterloo researchers have developed a novel tool that will enable user-experience designers to create more effective, personalized games and marketing campaigns.

Unlike other tools that categorize gamers by types, the new “player traits model,” along with a 25-item survey, can be used to more easily and accurately evaluate the kind of games different people will enjoy. The model is based on five traits: social, aesthetic, challenge, goal, and narrative.