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New York, New York

Question: How did you get into media? 

Frank: I knew I wanted to live in New York. It was in my blood and Miami was too small of the town for me. So I want to call of Philadelphia within I towards moving here when I graduated and studied English, so I fell in to magazines as a way to make a living should to body my time something else came along and the magazine thing does worked. My first job was is the Conde Nast Traveler magazine. I love travel, I love the magazine I did a good job there so I worked in the way up there. There is about seven years and there is as a senior editors, the news editor and then join a couple of other travel magazines and then will hire back by Conde Nast had Concierge.com that two years ago.

Question: What do you love about New York?

Frank: Non stop 24 hour energy and the ability to get the best of every thing at your finger tips or a phone call away, every thing from the best you see to the best in theater, to all of cuisines right and now I just I loved the fact is the 3’0 clock in the morning that can be a traffic jams of taxies and people on the street

Question: What is your advice for first-time visitors to New York?

Frank: The best of the major city for a first time whereas actually not manger, let it manage you a little bit and just get lost. There aren’t any dangerous places in Manhattan any more with the few rare acceptance that are all in the Hinterlands, so if you walk around you will see a lot of things you wouldn’t see if you stuck of that think to meet her, so you had a time square first of all right and the thing about time squares and I have seen I worked near from the times square, so I see people having this conversation let’s say we are trying to eat around here, it is all apple bees and McDonalds and Corbetts like that, we had back home and I want to say to them if you walk just two blocks a west head night avenue, there is restaurant after restaurant to restaurant that is all great ethnic food and all locally and it is just the so much favorites in New York that lies out side what the tourists usually do, so I say this hope one from for expert.

Question: Describe your perfect New York weekend

Frank: I actually had the perfect week end in New York couple, couple of years ago my partner and I stayed at the Peninsula hotel for a week end, we had a I gift stiff, great hotel right in mid town, so we can’t applied bit town tourists, we went to central park, we walked up and down stairs, up and down Madison, went to the met and then we went to assure I think was the age society of vehicle owners works and I am not the bigger hone of. Out of that what the hell is this, we need to sell about in such in kind of interesting and then later that afternoon we were stopped and had a drink at café on the on Madison Avenue and then walk your tone, so I was sort of the perfect New York experience try means like it you can you get the culture from the views point of view and then you also get to run in to those people will make the culture.

Question: What do you do to escape New York?

Frank: Actually I have a country house in the cats field, so that is my personal favorite escape but that’s all what going on just with in a few miles of New York that you can completely change your perspective on the area. So whether it’s going to beach in New Jersey or [inaudible] island or designing up to the mountain go to the Berkshire is only got 2 hours away and it is completely different scenery obviously but there is different place of life even I would in more than New Jersey you go to the Delaware water cab which is may be 2 ½ hours west of the city, studying landscape we replace in the concrete canyons with international things.

Editor in Chief of Concierge.com, Peter Frank, tells us why New York is the Big Apple of his eye.

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Duke University researchers might have solved a half-century old problem.

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  • Duke University researchers created a hydrogel that appears to be as strong and flexible as human cartilage.
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Predicting PTSD symptoms becomes possible with a new test

An algorithm may allow doctors to assess PTSD candidates for early intervention after traumatic ER visits.

Image source: camillo jimenez/Unsplash
Technology & Innovation
  • 10-15% of people visiting emergency rooms eventually develop symptoms of long-lasting PTSD.
  • Early treatment is available but there's been no way to tell who needs it.
  • Using clinical data already being collected, machine learning can identify who's at risk.

The psychological scars a traumatic experience can leave behind may have a more profound effect on a person than the original traumatic experience. Long after an acute emergency is resolved, victims of post-traumatic stress disorder (PTSD) continue to suffer its consequences.

In the U.S. some 30 million patients are annually treated in emergency departments (EDs) for a range of traumatic injuries. Add to that urgent admissions to the ED with the onset of COVID-19 symptoms. Health experts predict that some 10 percent to 15 percent of these people will develop long-lasting PTSD within a year of the initial incident. While there are interventions that can help individuals avoid PTSD, there's been no reliable way to identify those most likely to need it.

That may now have changed. A multi-disciplinary team of researchers has developed a method for predicting who is most likely to develop PTSD after a traumatic emergency-room experience. Their study is published in the journal Nature Medicine.

70 data points and machine learning

nurse wrapping patient's arm

Image source: Creators Collective/Unsplash

Study lead author Katharina Schultebraucks of Columbia University's Department Vagelos College of Physicians and Surgeons says:

"For many trauma patients, the ED visit is often their sole contact with the health care system. The time immediately after a traumatic injury is a critical window for identifying people at risk for PTSD and arranging appropriate follow-up treatment. The earlier we can treat those at risk, the better the likely outcomes."

The new PTSD test uses machine learning and 70 clinical data points plus a clinical stress-level assessment to develop a PTSD score for an individual that identifies their risk of acquiring the condition.

Among the 70 data points are stress hormone levels, inflammatory signals, high blood pressure, and an anxiety-level assessment. Says Schultebraucks, "We selected measures that are routinely collected in the ED and logged in the electronic medical record, plus answers to a few short questions about the psychological stress response. The idea was to create a tool that would be universally available and would add little burden to ED personnel."

Researchers used data from adult trauma survivors in Atlanta, Georgia (377 individuals) and New York City (221 individuals) to test their system.

Of this cohort, 90 percent of those predicted to be at high risk developed long-lasting PTSD symptoms within a year of the initial traumatic event — just 5 percent of people who never developed PTSD symptoms had been erroneously identified as being at risk.

On the other side of the coin, 29 percent of individuals were 'false negatives," tagged by the algorithm as not being at risk of PTSD, but then developing symptoms.

Going forward

person leaning their head on another's shoulder

Image source: Külli Kittus/Unsplash

Schultebraucks looks forward to more testing as the researchers continue to refine their algorithm and to instill confidence in the approach among ED clinicians: "Because previous models for predicting PTSD risk have not been validated in independent samples like our model, they haven't been adopted in clinical practice." She expects that, "Testing and validation of our model in larger samples will be necessary for the algorithm to be ready-to-use in the general population."

"Currently only 7% of level-1 trauma centers routinely screen for PTSD," notes Schultebraucks. "We hope that the algorithm will provide ED clinicians with a rapid, automatic readout that they could use for discharge planning and the prevention of PTSD." She envisions the algorithm being implemented in the future as a feature of electronic medical records.

The researchers also plan to test their algorithm at predicting PTSD in people whose traumatic experiences come in the form of health events such as heart attacks and strokes, as opposed to visits to the emergency department.

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