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Today's topic
Today's topicRecently, Noubar Afeyan, one of the founders of Moderna and Flagship, and Professor Gary Pisano of Harvard Business School published an article entitled "What Evolution Can Teach Us About Innovation" (https://hbr.
org/2021/09/what-evolution -can-teach-us-about-innovation), to review Moderna’s recent successful experience with the new crown vaccine
.
The author proposes a new drug innovation model called "emergent discovery", which mimics the natural world's model of evolving new functions through the combination of diversity and screening pressure
Drug source analysis
Drug source analysisThe new drug innovation model is an eternal topic.
From kill the losers to pick the winners, each company has its own understanding and preferences
.
Super success like the new crown vaccine will naturally make the industry review the mystery inside it, and hope that such miracles will often occur
But this model does have some shining points worth learning from
.
One is to have the courage to challenge the unknown, instead of following human instincts to only engage in micro-innovation near the known comfort zone
Therefore, it is not enough to have ambitious goals, and there are specific processes for achieving these goals
.
This article believes that although many disruptive innovations seem to be entirely luck, they are actually due to the fact that many technologies that welcome luck are more systematically developed and integrated under the control of a caring person.
The author believes that the Kill the loser model may have accidentally injured too many blockbuster drugs in the future, and many important products are not unusual in their teenage years
.
New functions need to have enough diversity in multiple links to come up with the correct combination and realize new functions.
Although this model may indeed produce truly disruptive technology, it is clearly a game for the rich
.
Most people ploughed Longmu to feed their families, and seldom waited for a chance to provoke the battle of Chibi there
