Top Tweets for #BigAxisSummit
Congrats on what appeared to be a very successful #BIGAxisSummit @daphnezohar and @PureTechH. Next year, how about a session on short term memory improvement. Asking for a friend π
.@PureTechH put together a one of a kind meeting! Fostering interaction with leaders of healthcare, tech and science in one setting, to discuss brain-immune-gut interaction. Igniting new ideas, forming multiple ties and several collaborations with amazing folks. #BigAxisSummit
You can find great wine and even greater scientists (on the right!) at the Aruba Airport after a long long long check in-customs-and again- check in-customs line! Super finale selfie of #BigAxisSummit
Second #BIGAxisSummit comes to its end. Exceptional science and many interesting discussions - going back home with many new ideas! Thank you @PureTechH @daphnezohar for hosting us at this great meeting!
Fascinating comment at #BIGAxisSummit by @MrJeffKarp : Have we convinced ourselves that what weβve learned in science makes beautiful sense, but is it actually more stochastic? Should we really be trying to strategically optimize our chances of just getting lucky? #innovation
Kaul: iPhone got on exponential growth curve. But pharma is regulated. If Apple had to make risk-ben case, we'd be on v3.0. If expert panel had to review, they might reject: After all, 4K people die a year from distracted driving. We have landlines already, right? #BIGAxisSummit
. @DrSidMukherjee encourages Sean Parker @parkerici to continue pooh-poohing big data for biology. Sid notes that linear thinking gave us many medical discoveries, not 'throw 300 million data points into a bucket and see what comes out.' #BIGAxisSummit @PureTechH
At #BIGAxisSummit, @DrSidMukherjee stands up for Q&A. Riffing on cancer R&D history with Gleevec, checkpoint inhibition, etc. Those were 'small data' discoveries. Notes 'there's a big data fetishization going on,' he says.
Raj Kaul: with statins, the world spent $200 billion and saved $1 trillion. The returns are there. But the social forces against pharma now must be taken seriously. Look at HepC. Cured it, and the blowback was fierce. #BIGAxisSummit @PureTechH
"The next 30 years in cancer drug development will not look like the last 20, where we looked at molecules to hit single targets ", says @sparker "the next standard for drugs in this field will require coming at problem with multi-pronged approaches"
#BIGAxisSummit
Denny Ausiello: medicine is a profession that doesn't know its own gold standard. We need to use tools and gather more info to look at things like slight changes in liver, angry fat cell etc. Must find points to intervene b4 wellness turns to disease. #BIGAxisSummit @PureTechH
Denny Ausiello, who worked on systems biology before it was a term, said 'we're still asking the wrong Qs.' In 50 years of medicine, he's seen episodic, symptomatic assessment tools driving things. We can diagnose disease, but not wellness. #BIGAxisSummit @PureTechH
.@sparker "Ex vivo cell editing lent itself to unbiased screening - generating large amounts of data. This could then be mined w AI/big data tools. The combination is powerful & a compelling way to bridge the different worlds of AI & classic biology/drug discovery" #BigAxisSummit
Joi Ito: when I talk with SV engineers, they have a hard time with complexity. They prefer structure. Brain Immune Gut is a combination of 3 very complex systems. #BIGAxisSummit @PureTechH
Joi Ito: Basically no ML applications are clinically validated yet. One reason: It's really hard for pharma to hire good ML people. Also hard for tech to hire really good clinicians. Getting right team together is crucial, and very hard to create. #BigAxisSummit @PureTechH
.@vkhosla tells @joi @sparker & Rajiv Kaul (@fidelity) that no significant large innovations came from people with a sector. Experience is a bias not an advantage #BIGAxisSummit
Rajiv Kaul (@fidelity) tells @joi and @sparker that disruptive changes come from (1) people outside the industry or (2) people thinking about things differently. Not from incumbents. #BIGAxisSummit
Raj Kaul of Fidelity: the science has never been better. But the challenges are formidable. External forces from payers, for one. Stems from pharma being the least popular industry, down there with oil/gas. Frustrating. #BIGAxisSummit @PureTechH
"When @kpcb incubated Genentech I was an intern there", says @vkhosla "and no one at pharma would look at it". "If you look at any industry, almost no large innovation has come from the inside. Experience is not an advantage, it's a bias"
#BIGAxisSummit
Rajiv Kaul of Fidelity notes that he invested in Genentech and loved Art Levinson as visionary CEO. But even there, years ago, Levinson de-emphasized immuno-oncology. Then the world changed. Keeps one humble. #BIGAxisSummit @PureTechH
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