We scientists [should] spend a lot of our time thinking about how to convey information in a manner that will activate an audience. Jobs’ introduction of the iPhone is a master class in giving a compelling talk. Jobs wasn’t a perfect orator — he had a odd cadence, was a little stiff at times, and wasn’t as warm as the best speakers. But Jobs had passion and you feel that in the iPhone keynote. It’s best passage:
This is a day I’ve been looking forward to for two-and-a-half years.
Every once in a while, a revolutionary product comes along that
changes everything. … One’s very fortunate if you get to work on just
one of these in your career.
Apple’s been very fortunate. It’s been able to introduce a few of
these into the world. In 1984, we introduced the Macintosh. It didn’t
just change Apple, it changed the whole computer industry. In 2001, we
introduced the first iPod, and it didn’t just change the way we all
listen to music, it changed the entire music industry.
Well, today, we’re introducing three revolutionary products of this
The first one is a widescreen iPod with touch controls.
The second is a revolutionary mobile phone.
And the third is a breakthrough Internet communications device.
So, three things: a widescreen iPod with touch controls; a
revolutionary mobile phone; and a breakthrough Internet communications
device. An iPod, a phone, and an Internet communicator. An iPod, a
phone … are you getting it?
These are not three separate devices, this is one device, and we are
calling it iPhone.
I’ve been dictating papers, notes, emails for more than 15 years (and have a copy of Dragon Naturally Speaking v1 and a closet full of mics to prove it). Some of you know that I regularly dot my spoken langauge with dictation hyphen speak comma and frequently don’t know that I’m doing it exclamation mark.
So, I think there is great potential for the voice interface movement (see the Amazon Echo, Siri, Cortana, etc) to revolutionize the way that we interact with technology. We’re still in that early haphazard phase, in which companies are trying to inject voice into every box, app, tool, and small animal monitoring device — all to see what sticks. This is pretty common in the lifecycle of new technologies (see wearables — who exactly needs pulse ox), and I think we’ll soon see that voice interfaces have huge potential in digital health. Voice will help us improve accessibility, a much overlooked challenge for digital health apps. But just imagine the improvements we can make in hard-to-monitor factors like eating, activity, symptoms, and mood.
And with price points dropping on voice tools (like Amazon’s Echo Dot), there is potential to make voice entry ubiquitous.
(This is not an Amazon commercial — really — but) Amazon is making it easier than ever to make conversational voice (and text) agents with their new Lex framework.
I’ve played with several similar frameworks, but the sophistication in the language parsing, interoperability, flexibility (same logic for Messenger or Twilio), and cost efficiencies really makes Lex standout.
Next time, #thinktwicebeforeyouapp and go voice.
(In case you’re looking for something to take your mind off the election, watch this).
I was thrilled to close out the Duke Forward road events in New York City, along with my graduate student colleague, Shelley Lanpher. Shelley and I talked about our work using digital health to improve obesity treatment in medically vulnerable populations.
Oh, and make sure you #waitforit — there’s a “surprise” reveal at the end.
Fantastic piece in today’s Inside Stat.
The tips I got back were almost comically generic. One piece of advice from Kinetic Diagnostics on how to compensate for my increased risk of muscle cramping? “Do proper stretching and muscle warm ups before and after exercise.”
DNAFit’s recommendation to make up for a variant that predisposes me to to see fewer gains from endurance training? “Stay sufficiently hydrated.”
Kinetic Diagnostics said I was at elevated risk of high blood pressure; DNAFit said I was likely to experience fewer problems with blood pressure. They both offered the same advice, supposedly tailored to my genotype: exercise.
(When I later asked them about this recommendation, the companies acknowledged that such advice could benefit anyone but insisted that people with my genotype would find it especially useful.)
I suspect that this will mostly be interpreted as an indictment of the athletics genetic testing “industry.” And, they seem to deserve it. But there’s a bigger issue here: many similar companies enter the market with laughably limited evidence that their “personalized recommendations” are actually informed by science.
Then there were the interpretations that flat-out contradicted one another.
The tests each looked at different regions of my genome — which may have been necessary to distinguish themselves from their competitors, but which in and of itself suggests just how much this field is in its infancy. So it wasn’t possible to compare the complete results from each company head-to-head.
But among the scores of data points, I found 20 genetic variants that showed up on two or more test results. The companies all gave me the same genetic readout on those variants, so I have little doubt they correctly analyzed the cells in the cheek swab I’d sent them. In six cases, however, the interpretation I got from one company directly contradicted the interpretation from another.
I’m sensitive to the idea that [the long time it takes to generate] evidence frequently slows the process of bringing innovative tools to market. However, this is a helpful reminder that speed can also disadvantage consumers (while rewarding founders).
The self-help route has not been successful for most. Ninety-four percent of the survey participants who were obese had tried to lose weight with diet or exercise, to no avail. A quarter of those people said they had tried five to nine times, and 15 percent said they had tried more than 20 times.
“Trying 20 times and not succeeding — is that lack of willpower, or a problem that can’t be treated with willpower?” asked Dr. Louis Aronne, the director of the Comprehensive Weight Control Center at Weill Cornell Medicine and NewYork-Presbyterian, who was not involved with the study.
Too many Americans (read: most all of us) are attempting weight loss using approaches that have no evidence base. Upwards of 1 in 5 American deaths is related to obesity. Obesity causes a wide range of health conditions that sap our physical function, quality of life, and money. And yet, we’ve become all too comfortable treating obesity with what amounts to well intentioned snake oil. I challenge you to think of another chronic disease where we embrace treatments that, well, don’t work.
How did we get here? Too little training in med school, too little [and otherwise anemic] treatment reimbursement policies, research that focuses on scaling outcomes vs scaling treatments, and lots and lots of stigma.
We have to do better.
Here I am rambling about big data and obesity treatment.
My favorite question: What's the most promising technology for obesity treatment?
My answer: humans.
If you're in New York on September 16, come see me ramble in person at the New York Academy of Sciences conference on"Big Data, Consumer Technology, and the Obesity Epidemic: Emerging Science and Ethical Considerations."
No matter which candidate you support, I think we can agree on this: our politicians have issues, but they’re not discussing them.
Duke’s cool new podcast, Glad You Asked, has folks offer ideas about what’s missing from our political playpen. Here are my thoughts:
TL; DR: Good policy beats medicine.
Yes, it is a slide deck, but it’s also one of the most eagerly anticipated collections of facts in Silicon Valley. Mary Meeker is ready with her 2016 internet trends report, which she is delivering today at this year’s Code Conference.
Is it problematic that I enjoy flipping through all 213 pages of this thing? Don’t answer that.