COVID-19 Research and Service

Hands holding smartphone and wearing smartwatch — Combining questions about a person’s health with data from smartwatch sensors, the CovidDeep app can predict within minutes whether someone is infected with COVID-19. Photo by Sameer A. Khan/Fotobuddy

Deep-learning diagnoses: Edge AI detects COVID-19 from smartwatch sensors

illustration of new medication technology — A technique developed in a Princeton lab encapsulates drugs and biological molecules in nanoparticles. The technology, being developed by a startup involving some of the original researchers, allows for more efficient delivery of vaccines and other medications.

Princeton technology could improve COVID-19 vaccines

ventilator controller — Machines designed and prototyped at Princeton monitor the flow of oxygen to the patient and provide a detailed record of the patient’s respiration and other data to help doctors follow the progression of the disease.

‘In times of great need,’ collaboration yields breathing system to assist COVID-19 patients

Princeton designed ventilator — Researchers at Princeton and Google are using a ventilator designed and built at Princeton in an effort to automate and improve controls for all types of ventilators.

Engineering and artificial intelligence combine to safeguard patients’ lives

Researcher assembles a face shield — Princeton University Ph.D. student Matt Heinrich and his adviser Daniel Cohen led the effort to design and assemble the face shields and PAPR covers for local hospitals.

In pandemic, Princeton graduate students and faculty raced to create innovative protections for hospital staff

Schematic image of head with open mouth and a box with magnified droplets

Speaking creates droplets linked to disease transmission

Exhaled droplets — To study the flow of exhaled material, researchers filmed the movement of a mist of tiny droplets illuminated by a laser sheet in front of a person speaking several different phrases adjacent to the sheet.

Conversation quickly spreads droplets inside buildings

Four researchers in a cold tube. — Eric Teitelbaum (center) speaks to visitors inside the Cold Tube pavilion in Singapore.

The multiple benefits of a world without air conditioning

Illustration by Matilda Luk, Office of Communications

Princeton Online Tutoring Network helps bridge educational gaps for K-12 students

Princeton researchers have developed a diagnostic tool that uses AI to analyze chest X-rays for COVID-19 lung damage. The tool could help doctors triage patients and better allocate scarce resources. Image courtesy of the researchers

AI tool gives doctors a new look at the lungs in treating COVID-19

Colored map of air flow from human breathing — A National Science Foundation grant will support Princeton researchers studying how COVID-19 may be spread by people without symptoms through the fluid mechanics of breathing and speaking. This still image from a high-speed video shows the velocities and directions of aerosol flows from a calm exhalation of human breathing. Warmer colors indicate higher velocities. Image courtesy of the researchers

NSF RAPID grant backs study on talking and COVID transmission

Kyle Jamieson and Vince Poor portraits

NSF RAPID grant backs Princeton research to track and contain pandemic

artist's rendering of virus with network superimposed — A new model developed by Princeton and Carnegie Mellon researchers improves tracking of epidemics by accounting for mutations in diseases. Now, the researchers are working to apply their model to allow leaders to evaluate the effects of countermeasures to epidemics before they deploy them.

New mathematical model can more effectively track epidemics