Fox News anchor Bret Baier has the latest on the Murdoch Children's Research Institute's partnership with the Gladstone Institutes for the'Decoding Broken Hearts' initiative on'Special Report.' A simple selfie could hold hidden clues to one's biological age -- and even how long they'll live. That's according to researchers from Mass General Brigham, who developed a deep-learning algorithm called FaceAge. Using a photo of someone's face, the artificial intelligence tool generates predictions of the subject's biological age, which is the rate at which they are aging as opposed to their chronological age. FaceAge also predicts survival outcomes for people with cancer, according to a press release from MGB.

First, the integration of artificial intelligence-facilitated algorithms for the early detection of cardiovascular illness, which will move us closer toward early prevention. We also envision a focus on using genetically informed treatments to reduce the risk of atherosclerotic heart disease, valvular heart disease and heart failure. Together, these important advances will usher in an era of personalized health care in cardiovascular disease."

Important AI Milestone at Mass General Brigham in Boston -- 1) Mass General Brigham is using an AI model that has reduced the waiting period for breast imaging results from days to 15 minutes. This helps hospitals reduce time and effort needed to annotate new datasets.

We are very excited to organize Global Artificial Intelligence(AI) Virtual Conference is held on Oct 11th to Oct 15th 2021. As we get closer to the conference, we want to invite you to participate in Global Big Data Conference Webinar - Online Warm-Up on Oct 7th (1.00PM - 2.15PM) PST. We will features with speakers from our upcoming Global AI Virtual Conference each of which will present a 15 minute sessions. Welcome to webinar hosted by Global Big Data Conference! In the last decade many different types of neural networks have been developed.

Researchers at NVIDIA and Massachusetts General Brigham Hospital have developed an artificial intelligence (AI) model that determines whether a person showing up in the emergency room with COVID-19 symptoms will need supplemental oxygen hours or even days after an initial exam. The original AI model, named CORISK, was developed by scientist Dr. Quanzheng Li at Mass General Brigham. It combines medical imaging and health records to help clinicians more effectively manage hospitalizations at a time when many countries may start seeing the second wave of COVID-19 patients. To develop an AI model that doctors trust and that generalizes to as many hospitals as possible, NVIDIA and Mass General Brigham embarked on an initiative called EXAM (EMR CXR AI Model) the largest, most diverse federated learning initiative with 20 hospitals from around the world. In just two weeks, the global collaboration achieved a model with .94