Student291

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On November 15, 2018, Student291 commented on Dementia Discovery Fund: Crowdsourcing a Cure for Alzheimer’s :

Joe, wonderful essay. I agree that DDF is a wonderful example of open innovation and has a great opportunity to crack what has been an elusive goal in effectively treating dementia. Given that the longstanding hypotheses around Alzheimer’s treatment/causes are being challenged, this wide set of ideas and hypotheses may give fresh air to a field that has become increasingly frustrated by the discarded/abandoned clinical trials that failed in recent years. I think the options idea in spreading risk and return across investors is a particularly interesting and useful way to push the VC fund beyond just small cash infusions. Pursuing any of these ideas is a billion-dollar commitment. If we can quickly crowdsource the funding on the capital markets at this scale (i.e. starting with millions) then perhaps we can more effectively pursue multiple high-risk hypotheses and bring a cure to patients even faster. Nicely done.

On November 15, 2018, Student291 commented on StoryCorps: Crowdsourcing to Preserve Humanity’s Stories :

Keith, wonderful essay. StoryCorps is a compelling use of open innovation and has an effective narrative (no pun intended) to sell to the audience (the world). Its strength relies in the democratized sharing and uploading of users’ narratives, a fundamentally personal action that transcends simple Snaps or Instagram posts into something more compelling and meaningful. This open innovation has the opportunity to harness other forms of media beyond audio, however. Could there be a way to add in photos or videos? I think another opportunity lies in using StoryCorps to document the hardships of those who have suffered unspeakable human tragedies. War, famine, and the like are often forgotten too quickly. Might StoryCorps use its platform to amplify the voices of the marginalized and those fading into the past before it is too late?

On November 15, 2018, Student291 commented on Printing Bone: How Should Orthopaedic Surgery Practices React to Advancements in 3D Printing? :

Jordan, great article. I think your analysis is spot-on and that the current uptake is likely driven by the unfamiliarity of the practice as well as the higher upfront cost. That capital requirement entails not just the machine itself but also the materials. Depending on the complexity and type of transplant/model, the materials can become very quickly expensive. As a workaround which you alluded to, academic institutions might be able to finance a 3D printing core facility (similar to genomics core facilities) that can bundle orders and increase cost-effectiveness of the operation. In doing so, offering this service to physicians throughout the network, the core may be able to better spread awareness and adoption of this interesting and possibly transformative practice. Nice job!

On November 15, 2018, Student291 commented on China’s Take on 3D Printing in Healthcare :

Hi Caro,

Great essay. I agree that additive manufacturing, or 3D printing, has a huge value proposition for improving healthcare and reducing cost. Another way in which it can be used is in producing model systems. This may be more realistic in the short-term. 3D printing allows for intricate buildup of organ-like model systems that can closely mimic the physiological environment of the human body. This allows for the exquisite tuning and testing of therapeutic interventions for organ-specific diseases. The potential benefit is huge, reducing cost of testing drugs and avoiding using animal models.

As a future step, moving to 3D printing human organs will be a huge boon to our society that is chronically underserved by organ transplant alone. Thank you for sharing!

On November 15, 2018, Student291 commented on 2018: A Space Odyssey – How NASA uses Machine Learning for Space Exploration :

Well-written, Cherish!

I agree that the application of machine learning to astronomy and space exploration has huge potential – one thing that comes to mind is the massive amount of data coming from tracking Near-Earth Asteroids. Each has a non-zero probability of hitting the Earth and causing catastrophic damage. Tracking each of these or determining which are threats of real consequence is manual, time-consuming, and sequential. I wonder if machine learning could similarly be applied to the thousands of asteroids, trained to recognize orbits of importance and flagging them for more careful review.

Another thing that may improve NASA’s efforts is introducing other datasets beyond those of the visual wavelength. Radio telescopes and other observational capabilities offer rich data that, when combined with optical telescope data, may offer even more interesting insights into the universe and beyond!

On November 15, 2018, Student291 commented on Artificial Intelligence Could Become Your Surgeon’s Best Friend: Why Should You Care? :

Hi Aditya,

I agree that machine learning has potential to help increase quality while decreasing cost. But I do have a hesitation when it comes to the data used. As we saw in class, the dataset with which the algorithm is trained matters a lot. What if that dataset is (A) noisy and/or (B) biased? For example, if noisy, the data can produce very little of anything valuable. We see this in using biological data to parse out therapeutic insights. Sometimes, it really is just “garbage in” producing “garbage out”. And if the dataset is biased (i.e. predominantly male) then the recommendations that the algorithm may provide may skew towards what is appropriate for one population but not another with different health needs. Nevertheless, the concept of assisting surgeons through machine learning in improving Porter’s equation is fascinating and I hope to see it in practice some day!