Researchers from the Buck Institute and Stanford University have created an inflammatory clock for aging (iAge) that uses deep learning and predictive analytics to determine immunological health and...
By using demographic data and predictive analytics, researchers have determined that without the COVID-19 vaccine rollout program, the United States would have seen an additional 279,000 deaths and...
Using continuous monitoring and predictive analytics can cut medical costs by nearly $535,000 annually, according to an economic data model from Medtronic.
Specifically, continuous pulse oximetry and...
As artificial intelligence (AI) technology becomes more interrogated into the medical community, mastering the element of predictive analytics will be a critical component in bettering the quality of...
Scientists at the University of Illinois Chicago have introduced a new system that uses a machine learning algorithm and predictive analytics to find what transcription factors are most likely to be...
Through a Neonatal Artificial Intelligence Morality Score (NAIMS), scientists at James Cook University believe they may have discovered a breakthrough method in keeping premature babies alive....
A team of researchers at the University of Michigan Rogel Cancer Center are working on a promising new blood test that they say will be able to predict if patients with metastatic HPV-positive throat...
In a recent evaluation of Epic Systems’ sepsis prediction model, scientists suggest that the model identifies those at risk of sepsis just 63 percent of the time. This is much lower than the...
A deep learning network can predict adverse cardiac events including heart attacks and death, according to recent research presented at the Society of Nuclear Medicine and Molecular Imaging 2021 Annual...
Combining astronomic image analysis and sky-mapping with tumor imaging enables researchers to guide targeted cancer immunotherapy, according to a new study published in Science.
Researchers from the...
An artificial intelligence algorithm can parse gene expression data to predict patient outcomes by identifying signature genes that reveal the severity of viral infection immune response including...
Researchers developed a statistical predictive analytics model that studies patterns in drug-related fatality data and can identify which counties are at high risk for future fatal overdoses, according...
Researchers developed a machine learning model that uses predictive analytics to detect a COVID-19 patient’s risk of death or dialysis treatment, a new study published in the Clinical Journal of...
Applying machine learning to wearable device data could help predict clinical laboratory measurements without a visit to the doctor’s office, a new study published in Nature Medicine reveals. The...
Researchers effectively trained machine learning models to predict the risk of gastrointestinal bleeding (GIB) within six to twelve months of a patient being prescribed antithrombotic drugs, according...
Using a predictive analytics model, providers could proactively identify pediatric patients at risk of developing blood clots or venous thromboembolisms (VTEs), according to a study published in...
Using predictive analytics and X-ray imaging data, an artificial intelligence computer program predicted which COVID-19 patients would develop life-threatening medical issues within four days with up...
Machine learning can measure unconsciousness in patients under anesthesia, allowing anesthesiologists to optimize drug doses, according to a study published in PLOS One.
Anesthetic drugs act on the...
A predictive analytics model can forecast where disease will spread from an outbreak, in what patterns, and how quickly, according to a study published in Proceedings of the National Academy of...
A commonly used predictive analytics model that forecasts lung cancer risk underperforms in Black populations, suggesting the need for improved screenings and guidelines.
In a study published in JAMA...
