eVision: Influenza Forecasting Using CDC, WHO, and Google Trends Data

Work in Progress: High School Student Training in Biomedical Engineering Innovation through Co- and extracurricular Activities

“…SFHS has an invested interest in providing opportunities to empower students to connect their learning to beyond the campus, for example by creating an innovation center that integrates real-world experiences into their curricular and co-curricular training. Through the partnership, we offered two technical projects for the high school students -machine learning models for disease forecasting using open-source software (ML Project) [7] and biofeedback in virtual reality immersive environments (VR Project). We also established a mentorship program that provides students opportunities to explore emerging engineering innovations and technologies in healthcare through a combination of co-/extracurricular activities and networking opportunities.…”

“…The project focused on predicting future trends in infectious diseases using publicly available data. High school students furthered their knowledge in machine learning and R programming by analyzing datasets and models that were generated by the SCU students, [7] who met with the team weekly for topical discussions. The project culminated in a presentation for the high school and university administrators, project mentors, and parents.…”