The Georgia Institute of Technology and Ovarian Cancer Institute researchers are using machine learning algorithms to predict how patients will respond to cancer-fighting drugs.
Advances in machine...
Although young patients with metastatic colorectal cancer tend to be more fit and receive more intensive treatment than older patients, both groups have roughly the same survival rate. That is the main...
Using predictive analytics, the University of Colorado School of Medicine and UCHealth University of Colorado Hospital scientists have found specific genetic biomarkers that show who is infected with...
To develop personalized treatment solutions for patients with breast cancer, UC San Diego Health received a $2.1-million gift to launch a comprehensive breast cancer database.
Philanthropists Richard...
Using predictive analytics, a genetic biomarker test can determine how men with high-risk prostate cancer will respond to treatment and deliver more personalized medicine.
In the study, researchers...
University of Colorado Cancer Center researchers are gathering data insights to create a decision-making tool for women who receive a breast cancer diagnosis.
In 2019, assistant professor...
In a retrospective study led by the National Institutes of Health’s National Center for Advancing Translation Sciences (NCATS), researchers provide evidence that individuals with rare diseases...
Georgia Institute of Technology and Emory University researchers created a new artificial intelligence-based tool to assist clinicians in predicting which symptoms COVID-19 patients will experience...
Mayo Clinic researchers analyzing patient records found that individuals with acute kidney injury receiving continuous renal replacement therapy (CRRT) once are likely to require the therapy again,...
By conducting data analytics on one of the world’s largest integrated health record databases, the Clalit Research Institute and Harvard University researchers examined the effectiveness of the...
University of California San Diego and Shiley Eye Institute at UC San Diego Health scientists analyzed how inherited retinal dystrophies (IRDs) impact diverse populations of people. Through the...
According to analyses performed by the Cancer Intervention and Surveillance Modeling Network (CISNET), having Black women begin mammography screenings every other year starting at the age of 40 could...
Mount Sinai researchers created an artificial intelligence-based computer algorithm that can detect subtle changes in electrocardiograms to predict whether a patient is experiencing heart...
The National Institute on Minority Health and Health Disparities (NIMHD) awarded the University of California–San Francisco (UCSF) center a five-year, $22.5-million grant to research health...
University of Chicago researchers used flu data and similarities to create a predictive model showing how COVID-19 spreads.
While COVID-19 is more transmissible and deadlier than most influenzas...
While many risk factors patients face concerning their health are due to genetics, researchers suggest that social determinants of health could also play a role in risk prediction.
In a recent study,...
By combining detailed mapping of the biochemical composition of tumors with machine learning, Johns Hopkins University engineers created the first non-invasive optical probe to understand the complex...
According to a collaborative research study from the University of Utah Health, Fabric Genomics, and Rady Children’s Hospital, artificial intelligence-based technology can rapidly diagnose rare...
As artificial intelligence capabilities in healthcare continue to advance, regulations and policies need to be put in place to ensure health equality when exploring this new method.
This past June,...
University of California San Diego School of Medicine researchers have been awarded $11.7 million to launch the Genetic & Social Determinants of Health: Center for Admixture Science and Technology...
