
alex rubinsteyn
@iskander
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Genomics + immunology + ML = personalized cancer immunotherapy. @UNC_Lineberger | https://t.co/nReVwtVHPq | https://t.co/uPVUS5JFm1 | https://t.co/8DWibdfDWa
Durham, NC
Joined June 2007
Let’s dream a bit. How would you dramatically reorg biotech research / drug development to make dramatically faster progress towards curative therapies?. (Don’t say “use AI”, hypothesis/candidate generation under current structure isn’t a bottleneck).
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RT @BenjaminGVincen: NUT Carcinoma patients: Consider the T-Scan clinical trial (link below). T-Scan has TCR-Ts targeting cancer/testis an….
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Listening to my first Dwarkesh episode and…it’s pretty good?. Definitely a funny sub-culture of jargon, mannerisms, & priorities but it’s fun to dream big.
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"A Screening Study to Collect Samples for TAA, HLA & HLA Loss of Heterozygosity in Patients With Metastatic Solid Tumors".
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I think this flew under the radar & might benefit someone who needs it: . T-Scan added NUT carcinoma as an indication for their TCR-T trial. Patients should enroll in the screening protocol (NCT05812027) to see if their cancer has a target for which T-Scan has TCR-Ts.
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Great talk by Andy (Jin Seok) Lee. He’s built a stack of tools to pull potentially coding structural variants from long read DNA seq, mapping their mutational footprint through long read RNA to find extremely non-self mutant proteins. (also, how did my camera get these colors?)
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RT @jrkelly: Excited to launch our 1st Antibody Developability AI competition today on @huggingface ! . Show off your model’s ability to p….
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Very happy to have played a minor role in this paper and awed at Abe's persistence in getting it published. As you might imagine, journals seem a lot more receptive to the original (false but exciting) claims than a careful attempt at replication / deconstruction.
Finding microbes in cancer sequencing data has been controversial. Are we seeing real biology… or just contamination + batch effects?.
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RT @AbrahamGihawi: Finding microbes in cancer sequencing data has been controversial. Are we seeing real biology… or just contamination + b….
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RT @StevenSalzberg1: We're still not finding any good evidence for a microbiome in any cancer type: see our new paper in @ScienceTM led by….
science.org
Two analyses of microbial DNA in tumor samples aim to put controversy-riddled field back on track
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RT @design_proteins: Trying out PXDesign on a target that ColabDesign and RFDiffusion struggled with previuosly for me a while back (CD20)….
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The blog post cites two previous studies but mostly to highlight how limited of a sequence space exploration each one can do individually. What they don't say, which I'm curious about, is how much the non-reference sequences are the union of many different different studies.
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[*] OpenAI x Retro blog post: Previous work: .
cell.com
Transcription factor-driven cell-fate conversions are powerful methods to turn one cell type into another but are typically slow and inefficient. In this article Jauch and Veerapandian et al. showed...
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Curious what folks who work on iPSCs think of the @openai x @RetroBio_ [*] collab to design efficient Yamanaka factors using a fine-tuned GPT-4o. I wonder to what degree the designs integrate all the previously published work on sequence properties of improved Sox2/Klf proteins
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4yo asking to hear “the song from cake-pop demon hunters”. None on Spotify sounded right bc he’s only heard it when a 5yo friend plays it on piano. Cultural synthesis in the making.
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RT @btnaughton: Great blogpost by Nick Boyd and Sam Guns from Escalante Bio (posted on the other site!). They intro….
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