Morgan Health is giving $5 million to Embold Health, a company that provides data analytics for the healthcare industry.
Morgan Health is a JPMorgan Chase business unit that invests in projects...
The National Institute on Minority Health and Health Disparities has extended a grant to Dascena to support the development of a non-biased machine-learning algorithm that can enhance treatment for...
Komodo Health announced it will provide rare disease patient advocacy organizations in the Chan Zuckerberg Initiative’s (CZI) Rare as One Network with analytics to improve earlier diagnosis,...
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...
With artificial intelligence technology, medical professionals can quickly and accurately sort through breast MRIs in patients with dense breast tissue to eliminate those without cancer.
Mammography...
On Wednesday, Definitive Healthcare opened 38.0 percent above the initial public offering’s price. Definitive provides a healthcare commercial intelligence and analytics platform, and its IPO is...
In a recent research letter, research authors examined how data analytics and electronic health records (EHRs) can assist in targeting marginalized populations to improve COVID-19 vaccine outreach...
A recent antibody study analyzed preserved biospecimens from the National Institutes of Health’s (NIH) All of Us Research Program and discovered that COVID-19 infections appeared as early as...
With healthcare organizations increasingly aiming to provide patients with comprehensive, holistic care, big data and analytics tools have become essential tools in the medical field.
In mental...
Across the healthcare industry, leaders are increasingly leveraging real-time data analytics tools to advance insights and improve decision-making.
In high-risk care settings, these tools are...
Artificial intelligence software and a brain-computer interface (BCI) device have enabled a man with full-body paralysis to communicate by text at a rate of 18 words per minute,...
Over the past year, data analytics resources have become essential tools for organizations and policymakers seeking to enhance their population health efforts – even more so than before the...
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...
In order for artificial intelligence to act as a public health tool after COVID-19, policymakers will need to increase training and validation of these solutions, as well as enhance data governance and...
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...
The University of Utah (the U) has partnered with ARUP Laboratories and Techcyte Inc. to develop NanoSpot.AI, a quick and simple COVID-19 antibody test fueled by artificial intelligence.
NanoSpot.AI...
Suicide risk prediction models that perform well in the general population may not be as accurate for Black, American Indian, and Alaska Native people, potentially worsening ethnic and racial...
A mobile app was able to distinguish toddlers diagnosed with autism spectrum disorder using machine learning, indicating that the technology could someday serve as a scalable early screening tool.
In...
For years, data analytics in healthcare has been a frequent buzzword among industry leaders. The ability to leverage AI, machine learning, and other technologies to gain actionable insights from...
Machine learning could help providers monitor and predict multiple sclerosis disease progression in individual patients, according to a study published in Institute of Electrical and Electronics...