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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

Researchers thought they had a way to keep hard-to-treat patients from constantly returning to the hospital and racking up big medical bills. Health workers visited homes, went along to doctor appointments, made sure medicines were available and tackled social problems including homelessness, addiction and mental health issues.Readmissions seemed to drop. The program looked so promising that the federal government and the MacArthur Foundation gave big bucks to expand it beyond Camden, New Jersey, where it started. But a more robust study released Wednesday revealed it was a stunning failure on its main goal: Readmission rates did decline, but by the same amount as for a comparison group of similar patients not in the costly program.“There’s real concern that the response to this would be to just throw up our arms” and say nothing can be done to help these so-called frequent fliers of the medical system, said study leader Amy Finkelstein.Instead, researchers need to seek better solutions and test them as rigorously as new drugs, said Finkelstein, of the Massachusetts Institute of Technology and the National Bureau of Economic Research.Federal grants and research groups at MIT paid for the study, which was 1236

Rep. Matt Gaetz (R-Florida) wore a gas mask on the House floor Wednesday while voting on a bill that would appropriate funds to fight COVID-19, better known as the coronavirus.Gaetz tweeted a photo of himself wearing the mask Wednesday afternoon prior to a vote on a bill that would appropriate a total of .3 billion in federal funds to fight the virus and expand access to health services for seniors.Gaetz wore the mask the same day that an 11th person died of COVID-19 in California — the first death related to the disease outside of the state of Washington.Fellow lawmakers ribbed Gaetz in a series of tweets."You won't believe the shoes Matt Gaetz is wearing today. #FloridaMan," Rep. Jim Himes (D-Connecticut) 731

Sidewalk "speakeasies" are a thing of the past for Texas children.Gov. Greg Abbott signed a law Monday that prohibits police from shutting down children's lemonade stands.In a video posted to Twitter, Abbott signed what he called a "common-sense law" with a celebratory tall glass of lemonade, saying, "Cheers."The bill was introduced by state Rep. Matt Krause, a Fort Worth Republican. His 403

Some consumers hoping to get compensation for a massive 2017 data breach at credit bureau Equifax are running into trouble: The settlement site’s eligibility tool seems glitchy, phone lines are jammed, and fake websites are trying to sucker people into divulging personal data. 289