CSR Wire

Epidemiology: Learning the Language with Bayer

Nope, that’s dermatology. So, what is an epidemiologist? Epidemiologists are scientists who do studies to answer questions or generate hypotheses about health. Epidemiologists compare groups of people ...
BIOENGINEER

Machine Learning Maps the Exploding World of Epigenetic Epidemiology Research

Epigenetics has traveled a remarkable distance since the term first entered the scientific vocabulary more than 75 years ago. What began as an abstract question about how genes and their products ...
Simon Fraser University

Authentic learning transforms large epidemiology course: students find personal meaning in public health research

When 150+ students struggle to see epidemiology's relevance to their diverse health science careers, innovative teaching approaches become essential. TJ Salway's redesign of HSCI 230 demonstrates how ...
Simon Fraser University

An evaluation of the impact of an ‘authentic learning’ cumulative case study assignment in an undergraduate health science introductory epidemiology course

This project evaluated the implementation of authentic learning principles through a cumulative case study assignment in a large undergraduate epidemiology course. Recognizing the challenge of making ...
ascopubs.org

Machine Learning Approach to Facilitate Knowledge Synthesis at the Intersection of Liver Cancer, Epidemiology, and Health Disparities Research

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams Liver cancer is a global challenge, and disparities ...
Drexel University

Learning from the Largest Genetic Cohort in History: Epidemiology at 23andMe

The department of Epidemiology and Biostatistics Seminar Series presents Stella Aslibekyan, PhD, Genetic Epidemiologist, 23andMe. The promise of precision medicine is predicated on identifying both ...
Harvard Medical School

Deep Learning–Based Estimator for the Non-Iterative Conditional Expectation (NICE) g-Formula

Join us on Wednesday, October 22 for the “Works In Progress” Epidemiology Seminar Series, featuring Dr. Jing Li discussing Deep Learning–Based Estimator for the Non-Iterative Conditional Expectation ...