News

Johns Hopkins-led effort offers powerful new tool to aid health policy by integrating personal decision-making into disease prediction model

The framework improves accuracy of detection while running faster on embedded hardware

Johns Hopkins researchers identify vulnerabilities that could hinder nation's fast-growing energy demands for clean energy sources

SafeTraffic Copilot, created by Johns Hopkins team, aims to provide experts with crash analyses and predictions to reduce the rising number of fatalities and injuries that happen on U.S. roads each year

The award supports the development of novel mathematical and machine learning tools to help characterize complex systems and environments

With the NFIP set to expire at the end of September, three Hopkins experts including Gonzalo Pita, weigh in on why flood mitigation—not just flood response—is key to addressing the growing frequency of flooding

As part of a cross-divisional Johns Hopkins team, Ghobadi will apply systems engineering to address the rising number of patient falls in U.S. hospitals

Heating and cooling buildings could soon become greener and more affordable thanks to a new tool developed by Hopkins engineer and smart-grid expert Yury Dvorkin

The new tool is the first to use large language modeling to predict infectious disease risk

Data published by Johns Hopkins University shows vaccinations fell in most counties over the past five years

Gardner, who helped the world track the COVID-19 pandemic, is applying her expertise to track and model a new public health threat: measles

Johns Hopkins engineers develop an artificial intelligence system that detects and catalogs traffic signs, paving the way for more efficient and safer roadways