Daniel Reker @daniel_reker
Domesticating ML to personalize the design and delivery of novel therapeutics | Asst Prof @DukeU BME | @ForbesUnder30 | runner/climber/dancer rekerlab.pratt.duke.edu Durham, NC Joined April 2009-
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Daniel Reker retweeted
My two favorite AI people at #AIChE2024! @GormleyLab @daniel_reker
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After a stimulating #PharmSci360 in Salt Lake City and a wonderful #bmes2024 in Baltimore, excited for the last stop of my conference week at the 8th Bioengineering and Translational Medicine Conference #BioTM in San Diego!
The lab had a fantastic time at #bmes2024 @BMESociety in Baltimore this week. Great science, food, and good to catch up with old and new friends!
A sunny morning in Baltimore and a wonderful session keynote talk by our postdoc Dr Yan Xiang on molecular dynamics & yoked deep learning for computational nanoparticle design. #bmes2024 #AI #nanoscience
Daniel Reker retweeted
@DerekvTilborg @fra_grisoni @molecularML @TUeindhoven An accompanying News & Views by @zachary_fralish and @daniel_reker is now available for this paper! nature.com/articles/s4358… 🔓rdcu.be/dXOWX
Daniel Reker retweeted
🔓Read #OpenAccess work from @daniel_reker & co on a molecular pairing approach to process traditionally inaccessible bounded data points to guide potency optimisations and molecular discovery, featured in our AI in MedChem collection🖥👇 pubs.rsc.org/en/content/art… 📍 @DukeU
Good morning from Salt Lake City! Looking forward to my first @AAPSComms #PharmSci360. If you are around, would love to see you at my invited talk "Machine Learning for Drug Discovery and Drug Delivery" Tuesday, October 22, 2024 10:30 AM – 11:00 AM MT Location: 251 ABC
Come see us at #BMES2024 @BMESociety this week in Baltimore!
Although the weather did not cooperate, our 3rd annual lab beach retreat was a big splash! 🌊 Nothing could dampen our spirits as we recharged, rethought, and regrouped. Excited to see what this amazing team will discover next!👨🔬👩🔬
Daniel Reker retweeted
One week until the AI for Biomaterials two-day virtual workshop hosted by @Materials_MRS and @SFBiomaterials and co-organized with @mhhettiaratchi and @celizlab! Join us September 24/25 by registering here: mrs.org/ai-for-biomate…
Never get's old to see our work in actual print.
Let's unleash the power of deep learning for low data drug discovery! 🤖💊 In our new paper, we pair molecules to enhance deep active learning to accelerate the discovery of potent & chem diverse drug candidates. 📜Paper: beilstein-journals.org/bjoc/articles/… 👩💻Code: github.com/RekerLab/Activ…
Daniel Reker retweeted
Finding the most potent compounds using active learning on molecular pairs 1/ Introducing ActiveDelta: an innovative active learning framework that pairs molecular representations to predict potency improvements and identify the most potent inhibitors. This approach…
Only 50 days until the @BMESociety #BMES2024 and the lab is excited to come out to the Charm City in full force to present our latest work on #MachineLearning for #DrugDiscovery & #DrugDelivery! Mark your calendars for our presentations and say Hi if you would like to connect!
Our graduate student Chloe @ChloeMarkey passed her prelim this week with flying colors. The committee applauded her professional presentation and deep understanding of the field. We can't wait to share her impactful discoveries!
Daniel Reker retweeted
Join us for the AI for Biomaterials two-day virtual workshop co-organized by @mhhettiaratchi @celizlab on Sept 24/25! The event is hosted by @Materials_MRS and @SFBiomaterials! Great talks by @ChristineAllenW @daniel_reker @xmwebb and more! mrs.org/ai-for-biomate…
Join us for the AI for Biomaterials two-day virtual workshop co-organized by @mhhettiaratchi @celizlab on Sept 24/25! The event is hosted by @Materials_MRS and @SFBiomaterials! Great talks by @ChristineAllenW @daniel_reker @xmwebb and more! mrs.org/ai-for-biomate…
En route to Denver for the @AmerChemSociety #ACSFall2024 meeting. Looking forward to giving 3 talks & catching up with old friends and making new ones - reach out if want to chat about #MachineLearning for #DrugDiscovery & #DrugDelivery. #chemtwitter #ScienceTwitter #ACS
Thrilled to share our @NatureChemistry News & Views led by @ChloeMarkey. We delve into groundbreaking work of @AstraZeneca , @GoogleDeepMind, and @Cambridge_Uni directed by @LucyColwell37 to design GCGR/GLP-1R dual agonists w machine learning. rdcu.be/dQ6SR
Daniel Reker retweeted
Excited to share my first News & Views article with @daniel_reker in @NatureChemistry! We explore how machine learning can help navigate large peptide drug design spaces and discuss implications for type 2 diabetes treatment and drug development as a whole nature.com/articles/s4155…
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