Machine Learning

Machine-learning immune-system analysis study may hold clues to personalized medicine

How people with compromised immune systems respond to vaccines is an important area of immunological research. A new study led by York University found that not only could machine-learning models accurately pinpoint differences in healthy controls and those living with HIV, but also found outliers in both groups that provide fascinating glimpses into the complex nature of the immune system and what personalized medicine could look like in the future, accounting for variables such as age, comorbidities and genetics.

New research finds specific learning strategies can enhance AI model effectiveness in hospitals

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-the world data, it could lead to patient harm. A new study

How individuals grasp an object may offer simpler diagnosis for autism spectrum disorder

Getting a timely diagnosis of autism spectrum disorder is a major challenge, but new research out of York University shows that how young adults, and potentially children, grasp objects could offer a simpler way to diagnose someone on the autism spectrum.

How immune are you after one or two doses of a COVID-19 vaccine?

TORONTO, May 26, 2021 – What level of immunity against COVID-19 do you have after being vaccinated or contracting the virus? York University Professor Jane Heffernan is receiving a $200,000, one-year grant from the National Research Council of Canada (NRC) to understand the rate of immunity in both of these scenarios.

Will robots take over the world in 2020?

York University expert predicts how artificial intelligence (AI) will improve your life TORONTO, December 16, 2019 – The future of AI could mean going to your local café only to be greeted by a robot or getting a facial recognition scan at the airport instead of showing your passport, according to Karthik Kuber, an artificial […]