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We need new antibiotics to counter resistance. Now @MITdeptofBE's James Collins,@BarzilayRegina @ItsJonStokes @MIT_CSAIL @WyssInstitue, @broadinstitute & team have trained a
#deeplearning #AI model to help the path of discovery
cell.com/cell/fulltext/…
@CellCellPress @AIHealthMIT
@MITdeptofBE @BarzilayRegina @ItsJonStokes @MIT_CSAIL @broadinstitute @CellCellPress @AIHealthMIT @CellPressNews When there's any report about an #AI and drug discovery effort, my "go to" is @Dereklowe for perspective.
When he says "So overall, this is an impressive paper," it has gravitas:
blogs.sciencemag.org/pipeline/archi…
@MITdeptofBE @BarzilayRegina @ItsJonStokes @MIT_CSAIL @broadinstitute @CellCellPress @AIHealthMIT @CellPressNews @Dereklowe "The study is remarkable, says Jacob Durrant @LabDurrant ... The team didn’t just identify candidates, but also validated promising molecules in animal tests."
nature.com/articles/d4158… @NatureNews by @JoMarchant May be the best #AI-drug story yet, especially for unmet need.
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Eric Topol
@EricTopol
There's been a lot of claims and hype on #AI-> drug discovery. Here's my summary of the 4 recent reports/candidates; the antibiotic is the most impressive to date. 2 are unpublished.
The antibiotic effort essentially started from scratch and led to a highly promising molecule using deep neural networks cell.com/cell/fulltext/… one of our most important unmet needs in medicine
More on this at the time of publication (20 Feb 2020)
Read 3 tweets
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Eric Topol
@EricTopol
Linking a bacterium genotoxin and colon #cancer for the 1st time in organoids, and the mutational signature in validated in affected patients @nature @HansClevers @Cayetanopm @_Hubrecht nature.com/articles/s4158…
@nature @HansClevers @Cayetanopm @_Hubrecht Such an important smoking gun for the gut #microbiome's potential contribution to cancer, just as we've recently seen it's ability to protect from cancer
nature.com/articles/s4156… @NatureMicrobiol
@nature @HansClevers @Cayetanopm @_Hubrecht @NatureMicrobiol Watch this gut #microbiome and #cancer space.
It looks like we're just scratching the surface
nature.com/articles/s4156…
nature.com/articles/s4156…
@NatureRevCancer
@EranElinav
Read 4 tweets
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Eric Topol
@EricTopol
"I don't think it is inevitable"—@POTUS
That's because I'm a genomic genius and Americans are protected by the MAGA gene.
@POTUS @NewYorker @BillBramhall
@POTUS @NewYorker @BillBramhall "This is their new hoax" —@POTUS
westernadvocate.com.au/story/6655260/…
Beyond belief #COVIDー19
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Ali Erturk
@erturklab
We are very excited to share our SHANEL method making the intact human organs transparent, just published at Cell. cell.com/cell/fulltext/… by @shan_heather et al.
See short tweetorial for details:
#clearing #imaging #3D #deeplearning #AI @CellCellPress
Mapping the human brain or other organs is a crucial step forward deciphering how they function in health and disease.
Tissue Clearing methods work well on rodent tissue but haven been poorer on stiff & aged human organs. Making the whole human organs transparent required a new approach.
Read 13 tweets
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Carlos E. Perez 🧢
@IntuitMachine
In 2017, I wrote the book 'The Deep Learning Playbook' deeplearningplaybook.com that described 3 pillars of research that will drive innovation: Meta-Learning, Modularity and Game Theory.
In 2017, we had a nascent understanding of these 3 and how they relate to each other. Today, we now have a much better understanding of their relationship and this will lead to accelerated innovation. #deeplearning #ai.
The overarching model is near completion and we only need to fill in the blanks.
Read 17 tweets
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IntuitionMachine
@IntuitMachine
Philosophically, it (Deep Learning) is every rationalist’s nightmare: the triumph of the inexplicable over the clear, and that of the probabilistic over the deterministic... thenewcentre.org/seminars/parad…
"Here Charles Sanders Peirce’s tychism and Georg Simmel’s dynamism will help us understand what these (Deep Learning) developments mean for the future of human (and machine) subjectivity." #deeplearning #ai
en.wikipedia.org/wiki/Tychism - Peirce formulates four reasons in support of his hypothesis: Growth and increasing complexity, Variety and diversity, Regularity (laws of nature),
Mind/consciousness/feeling
Read 7 tweets
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IntuitionMachine
@IntuitMachine
Deep Learning (DL circa 2012) big breakthrough is that it demonstrated a new kind of Artificial Intuition. Prior to DL, computers provided programmable Artificial Logic (circa 1945).
AlphaGo big breakthrough is that it demonstrated that with the use of DL one could beat the best human in a game of intuition (i.e. Go). .
AlphaZero big breakthrough is that you could train a system from scratch (without human knowledge) and it could be the best human system Stockfish that was programmed using logic. medium.com/intuitionmachi…
Read 6 tweets
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Dannielle Blumenthal PhD
@DrDannielle
1) This so called "opinion piece" has the markings of nytimes.com/2018/09/05/opi…p3F6Lb9Iipg
2) Please correct me if I'm wrong.
I feel compelled to say this, because I don't want to make any accusations here.
Let's just walk through the article together, and you tell me what you think.
I'm taking the perspective of a teacher here, checking a document for plagiarism.
3) If my hypothesis is accurate, then the New York Times is lying.
If my hypothesis is inaccurate, then this thread makes no difference whatsoever.
Read 83 tweets
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IntuitionMachine
@IntuitMachine
Reinforcement learning does not scale. Efficient environmental sampling does. One aspect of intelligence is the ability to predict the world while observing so little. #deeplearning #ai
To observe so little implies that there's an imaginary simulation that is able to extract new information without interacting with the environment. In short, a game is played between imagination and reality.
Deep Learning has revealed to us what methods work very well in reality. This leads to imagined new architectures that will be exponentially more capable than the previous architectures. #deeplearning #ai #agi
Read 3 tweets

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