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Sander Vanocur, known for his tough questioning as a White House reporter, has died at the age of 91, his family confirmed to the 142
RIVIERA BEACH, Florida — The FBI said a 59-year-old U.S. Army veteran shot and wounded a doctor Wednesday evening just before a mental health evaluation at the Veterans Affairs Medical Center in Riviera Beach.The shooting happened at approximately 6:20 p.m. local time at the hospital.According to the FBI, 59-year-old double-amputee Larry Ray Bon pulled out a small handgun and opened fire inside the emergency area, striking at least two people.One person was grazed by the bullet, and a doctor was shot in the neck while trying to subdue the shooter. "In between shots, the doctor saw an opportunity to jump on the subject and disarm him. While doing so, he sustained a gunshot wound to his neck, so pretty heroic," said FBI Special Agent Justin Fleck.The doctor, whose name has not been released, was transported to St. Mary's Medical Center. The doctor was treated and later released.The shooter, who officials said is originally from Michigan, has been recently living in the West Palm Beach area. Officials believe Bon may be homeless. The FBI said Bon served in the U.S. Army for a very short period of time, but this incident is not believed to be combat-related. The FBI did not release any information concerning the security measures of the hospital. "He has a criminal history and has had frequent contacts with local police departments," said Fleck.The hospital will remain operational for scheduled appointments and procedures on Thursday.Riviera Beach Police assisted the VA police force. The VA Office of the Inspector General is also helping with the investigation. 1597

Swedish climate activist Greta Thunberg and 15 other children filed a complaint with the United Nations Monday alleging that five of the world's leading economies have violated their human rights by not taking adequate action to stop the unfolding 260
Subway is exploring the plant-based protein trend with a meatless meatball sub.The sandwich chain will start selling the product, made with 152
Researchers have found a new way to predict some aspects of mental illness, before it happens. They used artificial intelligence and more than 60 million health records. Dr. Bruce Kinon has always been fascinated by the brain. Motivated by a desire to find better treatments for mental disorders, he co-authored a study in a collaboration with Lundbeck and Kings College in London. They developed a tool that could identify early symptoms of "first episode of psychosis,” commonly referred to as when someone has a "break."“Most schizophrenia begins with the first episode of psychosis. This is a marked change in normal behavior. This is where the patient all of a sudden, rather suddenly, begins acting bizarrely, may have thoughts not based in reality,” Dr. Kinon explained. That first episode is critical, and the beginning of the lifelong disability known as schizophrenia. So, what if they could predict that first break? It's not something you can test for. “What we’ve done in this study is basically developed a population tool that one could screen populations of individuals who haven’t been identified through any health care professional as possibly having those precedence of developing a prodromal or at risk state for psychosis,” Dr. Kinon said.Dr. Kinon says there's usually some sort of stressor that leads to that break.“These periods of first psychosis seem to be preceded by what we call prodromal symptoms, a simmering, under the surface of symptoms,” he said. “Usually the individual feels out of sorts, that they don’t understand what’s going on around them. Their social relationships may be aborted."Dr. Kinon worked with IBM Watson Health Explorys Solutions. They took more than 60 million anonymized health records, including those who'd had a diagnosis of first episode of psychosis, and put them through privatization machines and let the artificial intelligence do the work. “Sometimes when you have all this data across billions of data points across thousands of patients, it becomes hard for us as humans to see the data and find patterns that’s where machine learning comes into play,” said Dr. Anil Jain, Vice President and Chief Health Information Officer at IBM Watson Health.Dr. Jain says think of it like a virtual clinical study, where you're looking for patterns. And imagine how that could one day help doctors. It took two years to get to this point, and they're not done yet. Now that there's a predictive model looking for patterns, they need to design a clinical trial so as to create an intervention. “Imagine down the road, not today, that you put this model back in the hands of clinicians who are taking care of patients that’s how you connect the dots between what we can discover from big data and real world evidence and machine learning algorithms back to the practice of medicine.”There's still a lot of questions. Would people want to know what's coming? Or the risks? Or the stigma? But for now, it's a big step, using big data, possibly leading to big medical breakthroughs. Dr. Kinon has hope for the future, and hope for prevention for those with mental illness. In the meantime, he wants people to reach out to the many organizations, like the 3221
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