A team of researchers from the Department of Veterans Affairs, Oak Ridge National Laboratory, Harvard’s T.H. Chan School of Public Health, Harvard Medical School and Brigham and Women’s Hospital has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
The NSF has awarded $7.5 million over five years to the RAMPS project, a next-generation system for awarding computing time in the NSF’s network of supercomputers. RAMPS is led by the Pittsburgh Supercomputing Center and involves partner institutions in Colorado and Illinois.
The Taylor Geospatial Institute is a first-of-its-kind institution that brings together eight leading research institutions to collaborate on research into geospatial technology.
According to Chula researchers the volume of online gambling has soared during the COVID-19 pandemic, posing a serious threat to minors, and the government should urgently tackle this problem.
To rapidly advance the field of artificial intelligence and autonomy, FAU’s College of Engineering and Computer Science recently unveiled its “Center for Connected Autonomy and Artificial Intelligence.”
Detailed predictive analyses and functional studies show that the VGF protein protects against onset and progression of Alzheimer’s disease, paving the way for future drug discovery efforts
Researchers will use big data analytics techniques to develop computational models to predict the spread of COVID-19. They will utilize forward simulation from a given patient and the propagation of the infection into the community; and backward simulation tracing a number of verified infections to a possible patient “zero.” The project also will provide quick and automatic contact tracing and leverages the researchers’ prior experience in modeling Ebola spread.
A method of predicting the coronavirus spread – pioneered and developed by Weizmann Institute scientists – may enable authorities to focus efforts on areas where an outbreak is anticipated and relieve measures taken in others. Several countries, including the U.S., are adopting the new method
Solutions to some of the problems Iowa communities are facing may be found in the data towns and cities already collect, but lack the resources to access and analyze. Iowa State University researchers are lending their expertise to help communities tap into that information.
Using machine learning to analyze data on nearly 600,000 pregnancies, researchers devised an algorithm that identified nine parameters – out of more than 2,000 analyzed – that can predict which women are at risk of gestational diabetes. The parameters can identify risk early in – even before – pregnancy, enabling early intervention.
The lack of understanding of health providers and patients is a major barrier to the integration of genomics into personalized medicine. This innovative certificate program will provide health professionals and scientists with the requisite skills they need to interpret and incorporate this new knowledge into a patient care model that emphasizes individually tailored prevention, diagnosis and treatment.
Iowa State University’s Innovation Corps site is helping scientists and engineers prepare to move their discoveries toward commercialization. A key part of the preparation: talking to prospective customers about their actual needs.
ISPOR, the professional society for health economics and outcomes research—held its third plenary session at ISPOR Europe 2019, “Big Data Healthcare: Endless Opportunities for Research and Learning,” this morning.
PHILADELPHIA (June 24, 2019) – New research from the Monell Center analyzed nearly 400,000 food reviews posted by Amazon customers to gain real-world insight into the food choices that people make. The findings reveal that many people find the foods…