For organizations that want to deepen their knowledge of disease risk and health outcomes, genomic data has emerged as a comprehensive resource that can provide clinicians with new insights.
While the...
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...
Artificial intelligence in healthcare has mostly existed in the realm of the hypothetical. Clinical use cases for AI algorithms permeate the research sector, while rarely infiltrating real-world care...
Researchers at MIT’s Data to AI Lab (DAI Lab) have developed a new framework that can streamline machine learning processes to help organizations uncover actionable insights from big data.
The...
In healthcare, predictive analytics tools have always been one of the most promising applications of big data. The ability to anticipate negative consequences before they occur is a major asset for any...
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...
While preventive care and telehealth have long been critical elements of the healthcare industry, these services have become even more important in the context of the COVID-19 pandemic. Researchers are...
Using deep learning and genomic data, researchers from Beaumont Health have discovered a simple blood test that may help predict Alzheimer’s disease in patients.
In a study published in PLOS...
Machine learning approaches could help detect mutational signatures in patients with cancer, revealing the genetic effects of the underlying contributors to the disease, a study published in eLife...
Cleveland Clinic and IBM have announced a ten-year partnership to launch the Discovery Accelerator, a center aimed at using artificial intelligence, high performance on the hybrid cloud, and quantum...
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...
Artificial intelligence could help identify potential errors in a patient’s medication self-administration method, leading to reduced hospitalizations and healthcare costs, according to a study...
The FDA has issued an emergency use authorization (EUA) for the first machine learning-based non-diagnostic screening tool to prevent the spread of COVID-19.
The Tiger Tech COVID Plus Monitor...
Researchers from the University of Florida will use a $5 million grant from NIH to test a new artificial intelligence tool aimed at improving the diagnosis of Parkinson’s and related...
At first glance, mining clinical data to extract meaningful insights seems like a task well-suited for machine learning algorithms. The principal aim of advanced analytics tools is to evaluate multiple...
Statistical suicide risk prediction models could be implemented cost-effectively in healthcare organizations and may help save many lives each year, according to a study published in JAMA...
An artificial intelligence algorithm is able to mine EHR data and suggest the best diagnostic approaches, leading to enhanced diagnoses and treatments, according to a study published in the Journal of...
A machine learning technique can quickly estimate the binding affinities between drug candidates and their targets, potentially accelerating drug discovery and protein engineering, a study published in...
The FDA has launched the FDA Adverse Event Reporting System (FAERS), a public data dashboard showing human adverse event reports for drugs and therapeutic products used under emergency use...
Artificial intelligence tools were able to process brain images and classify Alzheimer’s disease with improved accuracy, which could lead to the development of better treatments, according to a...
