To effectively use artificial intelligence in chronic disease management, providers must have high-quality and accurate data. According to University of Pennsylvania Medical Center (UPMC) Chief Health...
In a cohort study, researchers compared how an interpretable machine learning triage tool for predicting mortality operates in a cohort of patients admitted to the hospital from the emergency...
New York University (NYU) is using a new kind of genomic testing to improve cancer treatment and patient outcomes.
Cancer has proven to be difficult to manage for patients and healthcare providers....
Data analytics serves as an essential tool when trying to close gaps in care. By studying data, providers can determine what steps need to be taken to improve patient outcomes.
Assistant Vice...
Harvard Medical School (HMS) and Clalit Research Institute are launching a collaborative effort to advance precision medicine. The opportunity for collaborations was enabled by a donation from the...
With the use of broad data collection, medical professionals can provide better care for their patients and eliminate health disparities. However, as health analytics advances to improve outcomes for...
According to a study from the Radiological Society of North America, prediction models based on clinical characteristics and imaging findings could reduce the number of false positives in MRI breast...
Using predictive analytics is a critical step toward chronic disease prevention, allowing providers to recognize early signs of illness and intervene. While some may be at a higher risk of chronic...
University of Michigan researchers are developing a model that uses predictive analytics to determine an individual’s survival and recurrence outcomes for patients recently diagnosed with...
Many healthcare systems have made creating high-quality and value-based care a top priority. Southwestern Health Resources (SWHR) used clinical data and predictive analytics to put a total cost of care...
UT Southwestern Medical Center researchers have discovered a method to predict which skin cancers are highly metastatic with the help of artificial intelligence. The study in Cell Systems examined how...
Medical University of South Carolina (MUSC) researchers discovered a biomarker in blood samples that with predictive analytics can determine which patients will develop COVID-19 symptoms.
It remains...
Moffitt Cancer Center researchers discovered a link between cutaneous human papillomavirus and squamous cell carcinomas that could contribute to the development of keratinocyte carcinomas, also known...
By examining specific regions of the human genome, Baylor College of Medicine researchers developed a machine learning algorithm called SPLS-DA to look for epigenetic markers for schizophrenia.
The...
Michigan Medicine researchers have found a protein that could predict the severity of a chronic lung disease that is often fatal in patients with scleroderma. These findings could indicate how...
Using predictive and data analytics, University of Michigan researchers conducted a study that discovered a commercially available genomic test, Decipher Biopsy, could assist in identifying prostate...
According to researchers from New York University’s School of Global Public Health and Tandon School of Engineering, machine learning can accurately predict cardiovascular disease and guide...
Researchers from the American Chemical Society have developed a blood test using predictive analytics to determine if individuals with COVID-19 will experience severe symptoms or not. According to the...
With the COVID-19 pandemic highlighting gaps in healthcare and access to service, providers are searching for ways to improve the well-being of their members. By implementing predictive analytics,...
A recent JAMA study highlights risk factors associated with the severity of COVID-19 in individuals using machine learning models and predictive analytics. By studying COVID-19 severity and risk...
