One of the most promising new cancer therapies involves engineering cells from the body's own immune system to attack tumors, but tuning those attackers to spare healthy tissues has been challenging. Now a collaboration of computer scientists and bioengineers has produced a way to select targets with the same kind of logic that drives computers, promising treatments that are both safer and more broadly effective.
- Monday, Nov 30, 2020
- Monday, Aug 17, 2020
Olga Russakovsky, an assistant professor of computer science, has been recognized with two early-career awards from organizations that promote diversity in technical fields. The awards honor her contributions in research, education and outreach.
- Thursday, Jun 25, 2020
Using radar commonly deployed to track speeders and fastballs, researchers have developed an automated system that will allow cars to peer around corners and spot oncoming traffic and pedestrians.
- Monday, Jun 22, 2020
In the images Lauren von Berg created, the ebb and flow of life in one of Earth’s most inhospitable places undulates across the screen.
- Tuesday, May 12, 2020
COVID-19's rapid spread throughout the world has been fueled in part by the virus' ability to be transmitted by people who are not showing symptoms of infection.
Now, a study by researchers at Princeton has found that this silent phase of transmission can be a successful evolutionary strategy for pathogens such as viruses like the one that causes COVID-19. The study was published May 8 in the journal Proceedings of the National Academy of Sciences.
- Tuesday, Mar 31, 2020
The machine learning techniques scientists use to predict outcomes from large datasets may fall short when it comes to projecting the outcomes of people’s lives, according to a mass collaborative study led by researchers at Princeton.
Published by 112 co-authors in the Proceedings of the National Academy of Sciences, the results suggest that sociologists and data scientists should use caution in predictive modeling, especially in the criminal justice system and social programs.
- Wednesday, Mar 25, 2020
As COVID-19 spreads worldwide, leaders are relying on mathematical models to make public health and economic decisions.
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.
- Tuesday, Mar 24, 2020
Focusing on urbanization as a key driver of environmental change in the 21st century, researchers at Princeton have created a framework to understand and compare cities’ food systems and their effects on climate change, water use and land use. The research will allow planners to estimate the impact of a city’s food system and evaluate policy actions.
- Friday, Feb 21, 2020
An innovative protection against website counterfeiting developed by Princeton researchers went live on the internet Feb. 19, boosting security for hundreds of millions of websites. The rollout was the culmination of over two years of close collaboration between research groups at Princeton and Let's Encrypt, the world's largest certificate authority serving 200 million websites.
- Wednesday, Feb 5, 2020
Using sophisticated algorithms to explore regions of the genome whose roles in cancer have been largely uncharted, an international team of researchers has opened the door to a new understanding of the disease’s genetic origins.