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Prince Harry and Meghan Markle, the Duke and Duchess of Sussex, have named their royal firstborn son.The baby is called Archibald Harrison Mountbatten-Windsor ... Archie for short.The infant is the eighth great-grandchild of Her Majesty The Queen. He is not a prince but could have been named a lord.The Duke and Duchess of Sussex appeared in front of selected media behind closed doors on Wednesday, cradling their first child, who was 449

Scientists have long warned of the effects of global warming and the possibility of more intense wildfires that burn for longer periods of time. Now, a new team of researchers is hoping to get a better understanding of how the smoke travels and what the tiniest particles could be doing to our lungs. "There's many things we’re still struggling to understand about smoke,” explains Joshua Schwarz, a physicist with the National Oceanic and Atmospheric Administration (NOAA). The group of researchers includes meteorologists and weather modelers, in addition to scientists. “All together, we are deciding which fires to target," Schwarz says. Amber Soja, with NASA, describes herself as the “fire person” of the group. Every day for the next couple of weeks, this group will create a flight plan, opening the door for another group of scientists inside this flying laboratory. “We've got tremendous range, and we're carrying a tremendous payload of information,” Soja says.This lab was once an Italian passenger airliner. It flies straight into the smoke of fires. "We'll have to look at what's the altitude of the smoke we want to be in, which direction is the smoke going, how far can we track that smoke," Schwarz says.Intake tubes on the outside of the lab bring in smoke particles that will be studied. Researchers are interested in learning how the smoke travels and what it does to our bodies when it’s inhaled. Pete Lahm, with the U.S. Forest Service, says studying the smoke is important because it impacts both public health and safety. “This info will help us make in the long run [make] better decisions on when we ignite fire and how we consider smoke impacts, and that's absolutely critical to our mission,” Lahm says. Watch the video above to learn more. 1787

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

RICHMOND, Va. -- An electrified crowd gathered at the Virginia State Capitol Thursday morning in support of legislation that would 143

Robocalls are flooding cell phones, interrupting dinners, and scamming people out of money. Relief could finally be on the horizon, but perhaps at a cost.The Federal Communications Commission voted on Thursday to give wireless carriers like Verizon the green light to block 286