Systems pharmacology and deep learning laboratory @UCSF
San Francisco, CA
Joined May 2017
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- Following168
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Keiser Lab retweeted
🧬🔮 Single cell foundation models have been a recent hot topic in bio-ML! A few of the recent methods and some thoughts 🧬🔮
1) Geneformer
2) scGPT
3) scFoundation
4) Exceiver
Congrats to the @vevo_ai team on joining the #AWSGenAIAccelerator cohort! Excited to support their groundbreaking work in #GenerativeAI, single-cell foundation models, & million-cell screens opening frontiers in drug design. Accelerator info: go.aws/45lDsQh
I'm pleased to share that @vevo_ai has been selected to join the @AWSstartups Generative AI Accelerator. Only 21 leading startups in the Generative AI space (out of 1200+ companies) were selected to be in the inaugural #AWSGenAIAccelerator cohort. (1/5)🧵
go.aws/45lDsQh
Accuracy is not sufficient for using image analysis AI support tools in clinic. Our latest work by @AlbertY60806367 in @Nature_NPJ with the Wei Lab (buff.ly/2Ypua4v) describes how computational "stress tests" help ensure AI models are clinic ready: buff.ly/3c6tPLZ
As a lab funded by the awesome @cziscience, we stand with our colleagues in an open letter to Mark Zuckerberg asking @Facebook to enforce its own policies on misinformation and incendiary statements in this critical time
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Congrats to @kangway, who joins the 2019 class of Arnold O. Beckman Postdoctoral Fellows in Chemical Sciences! Thank you @BeckmanFnd for the game-changing support & recognition of an exceptional scientist.
Thank you @BeckmanFnd for the opportunity to go after exciting new research directions! Feeling unbelievably excited and grateful; all my thanks to @keiser_lab and @IanSeiple for their mentorship @UCSF , and again to @sarah_reisman for making me the chemist I am today!
Keiser Lab retweeted
Wow, I'm so impressed by @UMich undergrad @YannahMelle, who just gave an awesome talk on her summer research in the @keiser_lab as part of the UCSF Summer Research Training Program! Great job and thanks so much for making the lab awesome, can't wait to see what you do next!
A #redteam finds fragility in our security models. A scientific #AIredteam would find where our #machinelearning models, #databias, and assumptions are just as fragile. #reproducibility
Scientific machine learning - @Keiser_lab proposes scientific AI red teaming to find ways if our assumptions are wrong. Does your model make scientific sense? #UCaiBio
If a #datascientist is a scientist, shouldn't they also be a #databreaker?
“Let’s move fast and break our own things.” @keiser_lab calls for scientific method, responsibility, red teaming for AI. #UCaiBio
We actually hit 2400/hr -- about two annotations per standard human breath!
Brittany Dugger: With gamification, easier interfaces, and rewards, a pathologist can annotate 2000 images an hour! #UCaiBio paper here: nature.com/articles/s41467-0…
Keiser Lab retweeted
LOVE the systemwide #AI collaborations already happening within the @UofCalifornia! nature.com/articles/s41467-0… #UCaiBio
Keiser Lab retweeted
Looking forward to moderating our #UCaiBIO panel on #Responsible Use of AI in Biomedicine” 6/18 with @keiser_lab @SciTechProf @LaurelRiek ! – at San Diego, CA
Want to try your own #DeepLearning models for #AlzheimersDisease pathologies? Ziqi Tang's paper, code, AND data are open to everyone - let us know what you discover! bit.ly/tangAI4AD - This has been a fantastic collab w Prof Dugger @ucdavis.
“It’s a co-pilot, a force multiplier that extends the scope of what we can accomplish and lets us ask questions we never would have attempted manually," explained Professor Michael J. Keiser, PhD, of @INDUCSF & @ucsfpharmacy ucsf.edu/news/2019/05/414476…
This year's "Advanced Topics in #DeepLearning for Biological Sciences (BMI 219)" course starts Monday morning! Looking forward to Dr. Nobuyuki Ota's third year of cutting-edge #ML lectures - #UCSF buff.ly/2HlJIx0
Nobuyuki Ota, COO of Preferred Networks America, lectured on "Deep Learning for Biological Research" at the University of California, San Francisco from April 23 to May 11.
This course introduced students to current applications of deep learning in biological research.
#UCSF
Neat read of @cziscience team's takeaways on building a network of scientific investigators that's more than the sum of its parts. I've really appreciated their commitment to iteration & design thinking in putting these meetings together
Everyone is affected by neurodegenerative disease—as a patient, family member, caregiver or citizen. Read more about what we learned from our first #NDChallengeNetwork meeting: bit.ly/2KKh0e7
Great community discussion on #AI & #Chemistry last night, hosted by @CaliforniaACS & #NovartisBiome. Question from the audience - if you had all the resources and $$ to do it, what would you prioritize to move the field fwd?
Pictures from “Chemistry & AI”. Speakers: Eric Martin from @Novartis, Michael Keiser from @UCSF, and Gavin Jones from @IBM. @AmerChemSociety @ACSCOMP
Keiser Lab retweeted
Two School scientists recently showed how to train computers to think more like scientists.
#MachineLearning
@keiser_lab
@UCSF
tiny.ucsf.edu/iZsMOj
ALT wolf and dog comparison
Should be a fun crowd
> We've got an exciting #chemistry and #artificialintelligence event lined up for April 25 in San Francisco. Hope you can come! #machinelearning #datascience #deeplearning @AmerChemSociety bit.ly/2OdAXIk
Tapson's Rules of Machine Learning:
4. Time spent on data cleaning is an order of magnitude more productive than time spent on hyperparameter tuning.
(Extreme example: achieved a Top 10 result in Kaggle using linear regression, as the only team that cleaned 50/60Hz noise first.)
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Keiser Lab retweeted
Predicted #Biological Activity of Purchasable #Chemical Space
pubs.acs.org/doi/abs/10.1021…
@teaguesterling
#Most_read_Year
