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Residents in Freeport, Grand Bahamas woke up to severely flooded neighborhoods on Tuesday following the devastation left by Hurricane Dorian. United Nations officials estimate more than 60,000 people in the northwest Bahamas will need food following the catastrophic natural disaster. Tim Aylen, a Bahamian journalist assisting The Associated Press with the hurricane coverage, had to abandon his home with his family due to the flooding. Speaking about some of his work, Aylen said he had no idea he would be shooting pictures of himself and his family evacuating their home as part of his coverage. Early Tuesday, Aylen could be seen wadding through chest-level flood waters as he made his way through the streets of Arden Forest in Freeport.His 21-year-old daughter Julia Aylen, and 17-year-old son Matthew Aylen, along with their three dogs were seeking higher ground Tuesday morning, with images showing their exhaustion from the ordeal. A spokesman for the International Federation of Red Cross and Red Crescent Societies said Tuesday about 45% of homes in Grand Bahama and Abaco were severely damaged or destroyed.The organization was aiming help 20,000 of the most vulnerable people, including a large Haitian community, the spokesman said. 1260

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

SAN ANTONIO, TX — Four people have been taken to the hospital after a shooting at a San Antonio mall, according to the San Antonio Fire Department.Officers were called out to South Park Mall, located at 2310 SW Military Drive, around 9:16 p.m. Wednesday.Two people were taken to the hospital in serious condition, while the other two suffered non-life threatening injuries, according to 399

Scientists at the Department of Defense are working on giving families of troops who were killed in action some closure.For Brent Stevenson, advances in technology allowed him to honor his uncle.Stevenson ‘s uncle William Bruesewitz died in the attack at Pearl Harbor attack at the age of 26.This month, his family finally laid him to rest 77 years after he died.“Everybody is overjoyed and thrilled that we’re able to do this and very much humbled and honor that we’re able to do it at Arlington National Cemetery,” said Stevenson.Bruesewitz served in the Navy and died during an attack on his battleship, the USS Oklahoma.His remains were recovered, but could not be identified. For decades, he was buried as an unknown soldier. But advances in technology allowed the military to re-examine his remains and finally make a positive identification.“It was surprising. It was a blessing. It was really quite humbling,” said Stevenson.“Every year it is our goal to identify at least 200 of these service members. But we would like to get that number higher if we can find ways to do it,” said Dr. John Byrd, the chief scientist from the Defense POW/MIA Accounting Agency.Over the years, Byrd and his team have found new ways to use advanced DNA techniques to identify remains and they continue to make progress.“They have developed over and over again improved extraction protocols that allow them to get DNA out of bones where yesterday they couldn’t,” said Byrd.But Byrd admits the race against time, not technology, can be the biggest obstacle as older generations pass away.“It’s one of the greatest challenges of all and this is how do you find close or closet family members of missing service man from 1944,” said Byrd.Despite the challenges, the mission moves forward to give a name and dignity to thousands of fallen soldiers.“All of this work, ultimately, is being done so that this service member can have his name back and his family will know what happened to him,” said Byrd.“It’s going to bring a lot of comfort to a lot of families just like it has ours,” said Stevenson. 2097

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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