A team from the Lawrence J. Ellison Institute for Transformative Medicine of USC have developed a technique to train a deep learning algorithm for improved cancer diagnostics.
In a study published in...
An artificial intelligence algorithm can analyze electroencephalograph (EEG) electrodes to detect a seizure and accurately pinpoint its location, according to a study published in Scientific...
Researchers from Binghamton University, State University of New York have developed several predictive analytics models to examine COVID-19 trends and patterns around the world.
For more coronavirus...
Researchers from Vanderbilt University leveraged unsupervised and automated machine learning techniques to analyze millions of cancer cells and identify new cancer cell types in brain tumors.
The...
Fifty-six percent of healthcare leaders say their current population health management solution doesn’t meet their needs, according to a survey from Persivia and commissioned by Sage Growth...
Building predictive models with patient data – such as history of comorbidities and medications – can determine the five- to ten-year life expectancy of older people with diabetes and help...
Parkland Center for Clinical Innovation (PCCI) has developed a big data analytics dashboard to accurately identify communities at high risk for COVID-19 infection.
For more coronavirus updates,...
Johns Hopkins Medicine (JHM) and Microsoft Azure have announced a partnership to leverage Microsoft’s artificial intelligence and analytics tools for accelerated precision medicine...
Howard University College of Medicine’s 1867 Health Innovations Project and AARP Innovation Labs will leverage artificial intelligence and data analytics to boost chronic disease management in...
A clinical decision support system that leverages machine learning techniques could help patients control their glucose levels and enhance type 1 diabetes management, according to a study published in...
Cleveland Clinic researchers have developed a predictive analytics model to determine an individual patient’s likelihood of testing positive for COVID-19, as well as their potential outcomes from...
The Mount Sinai Health System has received a grant from Microsoft AI for Health that will support a new data science center representing expertise in care delivery, health sciences, and artificial...
The World Health Organization (WHO) is leveraging data analytics and cloud technologies from Amazon Web Services (AWS) to accelerate global efforts to track, contain, and understand COVID-19.
For more...
A team from Regenstrief Institute and the Indiana University School of Medicine is applying data analytics techniques to previously inaccessible dental record information with the goal of improving...
A team at Johns Hopkins University has received a $195,000 Rapid Response Research grant from the National Science Foundation to use machine learning to detect which COVID-19 patients are at high risk...
A supercomputer powered by artificial intelligence is helping a team at Penn State’s Institute for Computational and Data Sciences (ICDS) find solutions for COVID-19 now and in the future.
For...
Using machine learning, scientists may be able to assess the role climate and environmental variables play in the transmission of COVID-19.
For more coronavirus updates, visit our resource page,...
Artificial intelligence has the potential to help address global health challenges, but stakeholders must promote rapid and equitable data access and establish ethical standards in order to use the...
A big data analytics tool that uses information from multiple cancer types could help researchers identify potential treatments and accelerate precision medicine, a study published in the Journal of...
A team from Penn Medicine has shown that public health officials can use natural language processing techniques to track surges in interest in COVID-19 topics on online forums, such as Reddit.
For...