Evaluating the Effect of Antiviral Drugs using Polarized Light Imaging and Machine Learning Approaches: The Case of Human-induced Pluripotent Stem Cell-derived Cardiomyocytes

This work aims to develop a low-cost, unified machine learning-based screening tool using multimodal signals collected from smartphones/wearable devices to evaluate the risk of presenting with common, high-demanding NCDs including stroke, chronic respiratory diseases, and neurodegenerative diseases (see Figure 1). We will clinically evaluate the app for common disease screening and early detection in low-and middle-income countries. This tool can be used at home or the point of care and opens up the opportunity to bring digital healthcare solutions to millions of people across countries.