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0 pointsbiomimic11y ago0 comments

See:

https://www.youtube.com/watch?v=V48M5j-6zdE

and

https://www.youtube.com/watch?v=jbYgza4NNk8

To name some of the top roadblocks:

- Cellular garbage collection

- Inner-workings of Mitochondria and cell death/apoptosis at the wrong time.

- DNA repair genes

- Telomerase production/use

Analyzing genomic pathways associated to these is key. Understanding why the expression of genes varies or decreases/increases at the wrong time is also key.

Being able to use Cogntive computing/biomicry/AI/Machine Learning etc to analyze the hidden connections and relationships between phytochemicals, genes, proteins, pathways and environment is the next frontier.

We're working on it and could certainly use additional crowdsourcing approaches.

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2 comments · 1 top-level

mastef11y ago· 1 in thread

Do you have any specific ideas of a massive road-block that would benefit from a Mechanical Turk approach? E.g. issues that would require an AI, but if split into a lot of tiny problems, that could be solved as a whole?

biomimicOP11y ago

I've been giving this some thought and have some ideas on a few directions we can go in. For example, cognitive biomimicry/AI can be trained to predict certain things like answering "What is the capitol of Austria?"

With statistical inference and probability, a system can provide a number of answers to questions. A crowdsourcing component can be used to rate the answers the system provides thereby allowing the system to learn via feedback loops.

Apply this to Life Sciences, molecular biology, genomics/proteomics and we may have a system intelligent enough to produce new hypothesis in the area of life extension research or a system intelligent enough to combine two pieces of knowledge to come up with something new, a discovery or series of discoveries.

I have some other ideas too, look me up at biomimic@gmail.com if you want to collaborate on these.

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