AI and Multi-Omics for Rare Diseases: Challenges, Advances and Perspectives

jaybee84 / ml-in-rd

Manuscript for perspective on machine learning in rare disease

Other

2 stars 1 forks source link

AI and Multi-Omics for Rare Diseases: Challenges, Advances and Perspectives #40

Closed allaway closed 2 years ago

allaway commented 4 years ago

@jguinney pointed me towards this review. Definitely worth reading, and considering what our perspective paper will add to the literature vs this!

jaybee84 commented 4 years ago

Is this what you were referring to: https://www.frontiersin.org/research-topics/13783/ai-and-multi-omics-for-rare-diseases-challenges-advances-and-perspectives#overview?

The review google is pointing me to is this: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6947640/ (the one that you mentioned in another issue)

allaway commented 4 years ago

Oops haha. Yes, that is the link!

On Wed, May 27, 2020, 12:50 PM Jineta Banerjee notifications@github.com wrote:

Is this what you were referring to: https://www.frontiersin.org/research-topics/13783/ai-and-multi-omics-for-rare-diseases-challenges-advances-and-perspectives#overview ?

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/jaybee84/ml-in-rd/issues/40#issuecomment-634903557, or unsubscribe https://github.com/notifications/unsubscribe-auth/AE3WNSCGGUJGHJGMCYHYKKDRTVVHRANCNFSM4NMN2X3Q .

jaybee84 commented 4 years ago

Ah ok! ... That seems to be a new research topic that is inviting submissions for perspectives! so I got confused :)

allaway commented 4 years ago

Yeah, sorry, I wasn't very clear.

I guess my thought is that this is perhaps a more crowded topic than I initially realized, so we'll need to consider the questions they raise when we write our perspective, and think about how these questions overlap with what we are addressing!

jaybee84 commented 4 years ago

That's a good point! I am copying some of their points here just to serve as a quick reminder for us and maybe we can try to address some of these contexts as we are discussing our respective sections (as applicable).

The application of AI in RD: how AI can solve/help RD diagnostic?
AI approaches to solve RDs challenges such as low diagnostic rates, reduced number of patients, geographical dispersion, limited annotated data.
Limitations of current AI approaches and how can we improve it
Development or application of multi-omics methods for RD diagnosis
Novel statistical methods for multi-omics data integration in RD

allaway commented 2 years ago

Closing this - no clear action item and trying to improve my issue sanitization/cleanup :)