Shayan Hassantabar

Title: Shayan Hassantabar: Innovator in COVID-19 Detection Technology

Introduction

Shayan Hassantabar is an accomplished inventor based in Ewing, NJ (US). He has made significant contributions to the field of medical technology, particularly in the area of COVID-19 detection. His innovative approach combines wearable medical sensors with advanced machine learning techniques to enhance the accuracy and efficiency of virus detection.

Latest Patents

Hassantabar holds a patent for a groundbreaking system and method for testing for SARS-COV-2/COVID-19. This invention utilizes wearable medical sensors and neural networks to create a machine-learning based system for coronavirus detection. The system is designed to receive physiological data from multiple wearable medical sensors and questionnaire data from users. It trains a neural network using raw physiological data and augmented questionnaire data to generate a coronavirus inference model. This model is then used to output a decision regarding the presence of the virus based on the input data.

Career Highlights

Shayan Hassantabar is affiliated with Princeton University, where he continues to work on innovative projects that push the boundaries of medical technology. His research focuses on integrating machine learning with healthcare solutions, aiming to improve patient outcomes through advanced diagnostic tools.

Collaborations

Hassantabar collaborates with Niraj K Jha, working together to advance their research and development efforts in the field of medical technology.

Conclusion

Shayan Hassantabar is a notable inventor whose work in COVID-19 detection exemplifies the intersection of technology and healthcare. His contributions are paving the way for more effective diagnostic methods in the fight against infectious diseases.