Kennedy McDaniel Bae | BioOptimist

646 posts

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Kennedy McDaniel Bae | BioOptimist

Kennedy McDaniel Bae | BioOptimist

@BioOptimist

inveterate BioOptimist | PhD | humanist | BAE.eth | love/live w/ @lwsnbaker

New York City Se unió Kasım 2015
301 Siguiendo347 Seguidores
Kennedy McDaniel Bae | BioOptimist
Each year without proper AI instruction is another generation paying the price through diminished cognitive development. But Educators face a challenge: how do you teach something you haven't been trained in yourself?
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Kennedy McDaniel Bae | BioOptimist
What if we replaced "How do we keep AI out of the classroom?" with "How do we teach AI as a tool rather than a crutch?"
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Chris Walker
Chris Walker@chris_walker_·
Doesn't AI make the decision to homeschool a lot easier? If 1:1 tutoring is the most effective way to educate, and you have a practically free, always available, extremely well read tutor, what are you waiting for? (domain specific, eg poetry still not there.)
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Kennedy McDaniel Bae | BioOptimist
Automating cell culture isn't about making science easier - it's about making it better. By acknowledging rather than denying natural selection in our labs, we're opening new frontiers in biological research.
Kennedy McDaniel Bae | BioOptimist@BioOptimist

As labs modernize and bring in automation, there's an opportunity to do better. We need to rethink cell culture from the ground up, just like the alarm clock reinvented wake-up calls. Enter: self-driving cell culture systems.

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Kennedy McDaniel Bae | BioOptimist
As labs modernize and bring in automation, there's an opportunity to do better. We need to rethink cell culture from the ground up, just like the alarm clock reinvented wake-up calls. Enter: self-driving cell culture systems.
Kennedy McDaniel Bae | BioOptimist@BioOptimist

This problem has been known for over 50 years, yet most labs still avoid regular cell verification. Some argue time and cost, but fundamentally it's a workflow problem.

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Kennedy McDaniel Bae | BioOptimist
This problem has been known for over 50 years, yet most labs still avoid regular cell verification. Some argue time and cost, but fundamentally it's a workflow problem.
Kennedy McDaniel Bae | BioOptimist@BioOptimist

In part because of the mechanisms of selection at play, 5-46% of cell lines in research labs are misidentified. Even samples from originating labs are wrong 18% of the time. We're often not working with what we think we are.

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Kennedy McDaniel Bae | BioOptimist
In part because of the mechanisms of selection at play, 5-46% of cell lines in research labs are misidentified. Even samples from originating labs are wrong 18% of the time. We're often not working with what we think we are.
Kennedy McDaniel Bae | BioOptimist@BioOptimist

Biologists face a paradox: they want to minimize variability to more easily analyze their results, BUT they are studying systems that evolved to have high variability as an evolutionary survival strategy.

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Kennedy McDaniel Bae | BioOptimist
Take HeLa cells as an example. Did you know these immortal cells are so good at surviving that they literally invade other cell lines? One study found that 67% of misidentified cells had been overtaken by HeLa cells.
Kennedy McDaniel Bae | BioOptimist@BioOptimist

High school bio told you about the peppered moth and it's changes due to pollution during the industrial revolution. Lab specimens are doing the same thing under our noses, but the consequences for research are far more complicated.

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Kennedy McDaniel Bae | BioOptimist
Natural selection doesn't just happen in nature - it's actively shaping laboratory experiments (and sometimes undermines them)
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Kennedy McDaniel Bae | BioOptimist
Prediction 3: New statistical approaches will 1) attempt to quantify and measure the probability of validity 2) assess the resiliency of the proposed model 3) assess the resiliency of the biological system 4) result in numerical-based assessments of modulatory impact
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Kennedy McDaniel Bae | BioOptimist
Prediction 2: The structure of hypotheses will change, rejecting the model of a single null and alternate hypotheses pair searching for causality in favor of 1) exploring the number of alternate hypotheses explored 2) increased focus and sensitivity to modulatory effects
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