Definitive Healthcare has partnered with Esri to launch an interactive data platform that allows people to analyze and monitor US hospital bed capacity, as well as potential geographic areas of risk,...
An individual’s social determinants of health can provide valuable information about a person’s potential risk of heart disease, but these non-clinical factors are often overlooked,...
A team from Baylor College of Medicine’s Human Genome Sequencing Center is working to advance precision medicine by determining patients’ genetic risk factors for cardiovascular...
Individuals living in areas of greater deprivation and rurality had lower rates of recommended cancer screening, reflecting the significant impact the social determinants of health have on care access,...
Medical Home Network, an organization serving patients in the Chicago area, is using artificial intelligence to identify individuals who have a heightened vulnerability to severe complications from...
The Center for Systems Science and Engineering (CSSE) at Johns Hopkins University has developed an interactive, web-based dashboard that tracks real-time data on confirmed coronavirus cases, deaths,...
Knowledge about patients’ opioid use after cesarean section surgery and before discharge could help inform more individualized prescriptions and cut down on unnecessary, leftover pills, a study...
Using 17 years of publicly available data, researchers built an artificial intelligence model that can help identify regions of the US where Lyme disease cases may go unreported, a study published in...
Researchers at Case Western Reserve University are using artificial intelligence to reveal cellular distinctions between black and white patients with prostate cancer, and have received $3.2 million in...
A deep learning device could help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP), a condition that is difficult to diagnose and can lead to vision loss if left...
An autonomous, robotic tool used deep learning and ultrasound imaging to draw blood or insert catheters on par with or better than human providers, according to a study published in Nature Machine...
A precision medicine service designed to understand differences in patients’ tumors could help people with pancreatic cancer live longer, according to data from the Pancreatic Cancer Action...
Machine learning tools could help enhance the accuracy of breast cancer screenings when combined with assessments from human radiologists, a study published in JAMA Network Open revealed.
Mammography...
Researchers could use artificial intelligence to boost efficiencies and precision in sleep disorder treatment, leading to improved care and better patient outcomes, according to a new position...
A machine learning algorithm can mine EHR data and discover novel associations between common chronic diseases and lesser-known conditions, which could support earlier monitoring or medical...
Researchers at Children’s Hospital of Philadelphia (CHOP) have developed a new algorithm that can track the epidemiology of sepsis among pediatric patients, allowing for more accurate data...
Researchers have developed a new wearable sensor that leverages artificial intelligence to identify worsening heart failure before a health crisis occurs, potentially preventing hospital...
Genetics and community-level social determinants may interact to have a positive or negative impact on individuals’ cognitive health, a team from Florida Atlantic University (FAU) recently...
A deep learning algorithm has identified a new drug that kills many of the world’s most challenging disease-causing bacteria, including some strains of antibiotic-resistant bacteria.
Researchers...
Cardiovascular factors typically evaluated in an annual physical, including blood pressure, cholesterol levels, diabetes, and smoking status, are just as accurate in predicting who will develop...