A machine learning algorithm may be able to inform clinicians how food intake influences chronic disease risk.
A team from the Harvard T.H. School of Public Health, together with researchers from...
Google Cloud has announced the Intelligent Vaccine Impact solution, a set of data analytics technologies to help regional and local governments ensure vaccine availability and deliver successful...
The University of Southern California and Amazon have established the Center for Secure and Trusted Machine Learning, a joint research effort to develop new approaches to machine learning privacy and...
The Parkland Center for Clinical Innovation (PCCI) has released an app that uses machine learning and real-time data to measure COVID-19 exposure risk in Dallas County residents.
The MyPCI App will...
Machine learning tools identified patterns of maternal autoantibodies indicating the likelihood and severity of autism in children, according to a study published in Molecular Psychiatry.
The team...
After a turbulent, momentous year, many rang in 2021 eager for a fresh start. In healthcare, however, some things will remain the same: namely, the significance of artificial intelligence and social...
Deep learning technology can help researchers make sense of complex DNA methylation data to understand gene expression changes in tumors, study published in Genome Biology revealed.
DNA methylation...
Properly trained deep learning models could offer better insights from brain imaging data analysis than standard machine learning approaches, according to a study published in Nature...
A deep learning model may be able to detect breast cancer one to two years earlier than standard clinical methods, according to a study published in Nature Medicine.
The tool also demonstrated...
The FDA has released its first artificial intelligence and machine learning action plan, a multi-step approach designed to advance the agency’s management of advanced medical software.
The...
Data from sites like Facebook and Twitter can reveal a lot about someone’s behavioral health. Past studies have shown that social media activity can predict a person’s demographic...
Artificial intelligence algorithms designed to detect diabetic eye disease may not perform as well as developers claim, according to a study published in Diabetes Care.
Diabetes is the leading cause...
Machine learning and real-world data could help researchers identify new uses for existing drugs, leading to accelerated drug repurposing, according to a study published in Nature Machine...
A sensor powered by machine learning can accurately detect serotonin at different levels in the brain while having little or no reaction to other neurotransmitters or similarly shaped drugs, according...
The end of 2020 marks the conclusion of one of the most formidable years the healthcare industry has seen in recent memory.
The COVID-19 pandemic brought new challenges with it, while also shining a...
In the US, the dawn of winter has meant a surge of COVID-19 infections. Daily rates of new infections have jumped significantly since March, and the country recently surpassed 17 million confirmed...
Machine learning can help inform public policies around quarantine measures to reduce the spread of COVID-19, according to a study conducted by MIT researchers.
As COVID-19 cases continue to increase...
A machine learning algorithm can detect the likelihood of COVID-19 infection using routine blood tests, potentially lowering the number of patients referred for PCR testing in the ED, according to a...
Amazon Web Services (AWS) has announced Amazon HealthLake, a HIPAA-eligible service that aims to support interoperability standards and further drive the use of big data analytics in...
A machine learning algorithm can analyze medical images and predict which breast cancer patients need surgery, revealed a study published in the American Journal of Physiology – Cell...
