Matt Donne (@Matt_Donne) header
Matt Donne (@Matt_Donne) profile picture
SF, USA
Joined April 2009
Photo by Matt Donne (@Matt_Donne)Photo by Matt Donne (@Matt_Donne)Photo by Matt Donne (@Matt_Donne)Photo by Matt Donne (@Matt_Donne)Photo by Matt Donne (@Matt_Donne)Photo by Matt Donne (@Matt_Donne)Photo by Matt Donne (@Matt_Donne)Photo by Matt Donne (@Matt_Donne)Photo by Matt Donne (@Matt_Donne)Photo by Matt Donne (@Matt_Donne)
Matt Donne retweeted
bio foundation models trained on real human data @NOETIK_ai
📁 Dario Amodei, CEO of Anthropic, says the real AI moats will not be in apps, but in medicine and the physical world. Anyone can build on top of a model. Very few can navigate biology, regulation and real world complexity. The biggest AI companies may not be addictive software, but systems that quietly extend human life.
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The fact that this beach is empty on an 80 degree day is a sign of how locked in SF is
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Excited for all the #SFTechWeek festivities! Our team is hosting and attending a bunch of great events throughout the week. Reach out to your SVB contact or head over to our Tech Week site to learn more: bit.svb.com/46AZ7Fh
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Immigrant scientist
Happy 146th Birthday to Albert Einstein, considered to be one of the most brilliant minds in scientific history, he is best known for his works of general and special theories of relativity. Einstein won the 1921 Nobel Prize in physics for his works on photoelectric effect.
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I think it’s pretty funny chatGPT put strategy next to the garbage can… #biotech #lifescience #strategy
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Matt Donne retweeted
Proud to have this important work and data publicly explorable on Spring’s platform
🚨 New research from the Taipale Lab @mike_tilapia reveals that protein mislocalization impacts 1/6 of all pathogenic missense variants! 🧬 This study offers new insights into the molecular roots of genetic disorders. 📊 Data now available on the Spring Science platform! 🧵
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Matt Donne retweeted
Two people today have told me that my shirt (which I like) looks like something out of the Sopranos (which I also liked). So I figured I'd post my favorite Tony Soprano quote today: “It’s good to be in something from the ground floor. I came too late for that and I know..."
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Hear insights from our Senior Director, Will Van Trump, as he explores AI's transformative role in imaging. Stay tuned for more on cell painting, analysis challenges, and how we're leading AI-driven research. Watch Will’s talk here: buff.ly/4cBHSon #AIinDrugDiscovery
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Please consider joining us on August 29th! linkedin.com/posts/mattdonne…
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If AI completely redesigned a cell, would it constitute a new form of life? The @arcinstitute’s @pdhsu asked that tantalizing question at #statbreakthrough last week.
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It's #machinelearningmonday, and today we're highlighting our 2023 SLAS poster focused on using #highcontentimaging and #machinelearning to categorize compounds into novel inflammasome inhibitor classes. Check it out here: buff.ly/4bKoMwj
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Matt Donne retweeted
I think about this advice from Jan (Whatsapp founder) quite often
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Are you looking for rare phenotypes or events in your imaging data? A benefit of unsupervised single cell clustering is that results are driven by the data, not by a biased prior assumption. With PhenoFinder, you can identify unique phenotypes and how they're driving responses.
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It's been two decades since the field has demonstrated it can make mice live to the human equivalent of 130 years old. How close are we to doing the same in humans?
20 years ago, scientists figured out how to make mice live 150% longer by altering one singular gene. What have we learned since this groundbreaking discovery? In our debut video, @alexkesin seeks to find out.
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Folks about to graduate with bioinformatics/data science backgrounds who are interested in research, please apply: aprecruit.ucsf.edu/JPF04398
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Did you miss your chance to talk to Spring's Head of Lab Ops, Will yesterday at his presentation? Stop by his poster #1218-C in the Data Science and AI Track this afternoon! See more of Spring @SLAS_org : hubs.ly/Q02h6pwY0 #SpringScience #SLAS2024
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Today we should celebrate the perseverance of $VRTX in translating the incredible human genetics of Nav 1.8 for pain into a drug with Phaase 3 data ready for approval. The commercial market can debate the differentiation and merits vs existing generics, but it should be a huge celebration for novel science and the value of the genetic validation of targets in drug discovery - which instills the confidence in expensive, long-term, multi-candidate R&D programs against these genetic targets.
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