To ensure medical AI devices are effective, reliable, and safe, FDA evaluations should include prospective studies and assessments in multiple clinical sites, according to a review published in...
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...
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...
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...
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...
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...
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...
A machine learning tool can analyze EHR data to calculate suicide attempt risk and help providers know which patients to screen in nonpsychiatric clinical settings, a study published in JAMA Network...
When applied to a clinical data registry, machine learning algorithms showed no significant improvement in predicting adverse outcomes after an acute myocardial infarction (AMI), a study published in...
Using smart speakers and machine learning algorithms, researchers from University of Washington (UW) have developed a way to monitor both regular and irregular heartbeats without physical contact.
In...
Personalization is something most people have come to appreciate – if not expect – in everyday, consumer-driven experiences.
From recommended movies and shows based on what you’ve watched, to playlists tailored to your...
After applying machine learning to EHR data, researchers found that dropping out of high school, having schizophrenia, or being diagnosed with a co-occurring personality disorder increases the...
Using machine learning, researchers found that people’s biases about COVID-19 and its treatments are exacerbated when they read tweets from other users, a study published in JMIR showed.
The...
Machine learning tools analyzed hundreds of proteins and identified blood biomarkers that could speed the diagnosis of autism spectrum disorder (ASD), according to a study published in PLOS One.
ASD...
Google has announced its first office in Rochester, Minnesota, a new space that will help the tech giant deepen its long-term strategic partnership with Mayo Clinic.
The two organizations launched...
A deep learning tool was able to accurately predict survival expectancy in patients with lung cancer, potentially leading to more informed care decisions by providers, according to a study published in...
Fourteen leading healthcare providers are partnering to form Truveta, a new company that will leverage big data analytics for enhanced care insights.
Providers involved in the effort include...
Machine learning could help detect existing drugs that could help fight COVID-19, particularly in elderly populations, a study published in Nature Communications revealed.
One of the many major...
Researchers at UPMC and the University of Pittsburgh School of Medicine have leveraged machine learning to develop a tool that predicts mortality for patients facing transfer between hospitals in order...
Since the pandemic began, experts have looked to daily counts of laboratory-confirmed COVID-19 cases and deaths in an effort to contain the virus. Now, a machine learning algorithm has revealed that...
