A big data framework combining epidemiological and socioeconomic risk factors revealed that COVID-19 risk increased in areas with more crowding, population mobility, and morbidity, while risk decreased...
The National Minority Quality Forum (NMQF) has launched its COVID-19 Index, a predictive analytics tool that will help leaders prepare for future surges of coronavirus.
The COVID-19 Index will enable...
NIH is seeking to expand the inclusion of American Indian and Alaska Native (AI/AN) people in the All of Us Research Program, an effort to advance precision medicine treatments for all populations.
In...
Black individuals in rural parts of the US have experienced higher chronic disease death rates than whites in the last 20 years, reflecting significant racial disparities and gaps in care.
In a...
Since the onset of the COVID-19 pandemic, leaders have developed and deployed health data collection technologies to track virus exposure, monitor outbreaks, and aggregate hospital data.
As...
In all 30 of the largest cities in the US, there are significant racial disparities in diabetes mortality rates, according to a study of city-level data published in Diabetes Research and Clinical...
Limited diversity in genomic datasets may affect therapy selection and cancer outcomes for black patients, a study published in npj Precision Oncology revealed.
Researchers noted that clinicians use...
Enhanced data sharing and increased diversity will help accelerate precision medicine efforts and establish a more equitable healthcare industry, according to a new commentary published in Cell.
In...
Smartphone-based mobility data used to respond to COVID-19 can leave out older and minority voters, which could lead jurisdictions to under-allocate important health resources to underserved...
Among the many gaps in care that pervade the medical industry, rural health disparities are some of the most prevalent.
For individuals living in rural parts of the country, geographic isolation,...
While most Hispanic and Latino people in the US were aware of their cardiovascular disease risk factors, less than half of stroke survivors in these populations had healthy blood pressure and...
After applying machine learning to EHR data, researchers found that dropping out of high school, having schizophrenia, or being diagnosed with a co-occurring personality disorder increases the...
Obesity, hypertension, diabetes, and heart failure are the chronic diseases that contribute to a majority of adult COVID-19 hospitalizations across the country, a study published in the Journal of the...
Genetic data can help improve prostate cancer risk prediction in diverse racial and ethnic groups, leading to more targeted, personalized screenings, according to a study published in Nature...
As disease treatments continue to advance and become more personalized, researchers are increasingly relying on genomic data to accelerate the development of precision medicine for a range of...
A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a predictive analytics model that can jointly model a patient’s breast cancer risk...
For the most part, healthcare buzzwords are associated with positive, forward-thinking change.
Terms like precision medicine, artificial intelligence, and chronic disease management imply productivity, effective transformation, and novel...
A deep learning tool may be able to analyze medical images and dramatically reduce pain disparities in underserved populations, a study published in Nature Medicine revealed.
In society today, pain is...
Analyzing genomic data from diverse populations could improve prostate cancer risk scores and enable early detection of the disease, a study published in Nature Genetics revealed.
Prostate cancer is...
Change Healthcare and Carnegie Mellon University’s Delphi Research Group have enhanced Delphi’s COVIDcast real-time data stream with COVID-19 claims information.
Since April, Delphi has...
