Prostate Cancer Awareness Month

This #ProstateCancerAwarenessMonth, we’re sharing insights from recent studies from researchers across Canada. Today, we’re sharing findings from Sheida Majouni, PhD candidate from Dalhousie University! In 2022, Majouni and colleagues applied machine learning to arsenic species and metal profiles of toenails from Atlantic PATH. They aimed to understand environmental metal’s potential to produce disease, specifically prostate cancer: https://bit.ly/3eVjUMK “Artificial Read more about Prostate Cancer Awareness Month[…]

Prostate Cancer Awareness Month

This #ProstateCancerAwarenessMonth, we’re sharing insights from recent studies from researchers across Canada. Today, we’re sharing findings from Gabriela Ilie, PhD, associate professor at Dalhousie University and DMRF Endowed Scientist in Cancer Quality of Life Research! In 2019, Dr. Gabriela Ilie, Dr. Rob Rutledge and Dr. Ellen Sweeney examined the association between depression and anxiety and Read more about Prostate Cancer Awareness Month[…]

Applying Machine Learning to Arsenic Species and Metallomics Profiles of Toenails to Evaluate Associations of Environmental Arsenic with Incident Cancer Cases

Authors: Sheida Majouni, Jong Sung Kim, Ellen Sweeney, Erin Keltie, Syed Sibte Raza Abidi Ebook: Volume 294: Challenges of Trustable AI and Added-Value on Health Abstract: Chronic exposure to environmental arsenic has been linked to a number of human diseases affecting multiple organ systems, including cancer. The greatest concern for chronic exposure to arsenic is Read more about Applying Machine Learning to Arsenic Species and Metallomics Profiles of Toenails to Evaluate Associations of Environmental Arsenic with Incident Cancer Cases[…]

New Publication

Congratulations to Majouni et al. on the new publication, “Applying Machine Learning to Arsenic Species and Metallomics Profiles of Toenails to Evaluate Associations of Environmental Arsenic with Incident Cancer Cases.” This research involves analyzing toenail samples from Atlantic PATH, as well as machine learning algorithms to arsenic species and metallomics profiles to investigate the complex Read more about New Publication[…]

Funding News

Congratulations to Dr. Samina Abidi, Dr. Raza Abidi, Dr. Ellen Sweeney and team on their successful CIHR Catalyst grant, “Digital Health and Artificial Intelligence based Platform for Early Chronic Disease Risk Assessment and Prediction to Improve Population Health.”  This project will leverage digital health/e-health and artificial intelligence technologies to develop a Personalized Risk Investigation, Stratification Read more about Funding News[…]