Genomics + immunology + ML = personalized cancer immunotherapy | https://xitter.cf/t.co/nReVwtVHPq | https://xitter.cf/t.co/8DWibdfDWa

Durham, NC
Joined June 2007
Slides from a talk I gave in September at the Lunenfeld-Tanenbaum Research Institute in Toronto. Machines of Loving Hype: Let's get specific about "curing cancer with AI" (secretly, personalized TCR therapies for NUT carcinoma and beyond)
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Making the agents nervous by downloading panels of viral proteomes
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At every biorisk filter I downgrade a model, and went all the way from Astra down to 5.6 Luna. Not much further to fall.
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alex rubinsteyn retweeted
BREAKING: We broke the wall for Integer Multiplication! Conditional κ = 0.00302 (+80%) For days we were stuck in incremental improvements, but today zxv changed the game. zxv’s insight: stop throwing away work. Helper registers that finish holding a completed transform of their own input now count as output, instead of being undone. He brought us to 0.0023(+37.5%), and immediately after 1337isnot1337 pushed that to 0.00302. The game is afoot :)
1/ Our long national nightmare is over. The wall has been smashed. New community checkpoint for integer multiplication: κ = 0.00268647 ≈ 2⁻⁸·⁵⁴⁰ T(n) = O(n(log n)⁰·⁹⁹⁷³¹³⁵³) A 66% improvement since last announcement. A 2^173 fold improvement from the OAI result
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alex rubinsteyn retweeted
did a group presentation today with @3blue1brown's manim style transitions. Sharing the template for anyone to build upon Brought to life with @NarekMaloyan's manim-web + reveal.js + claude + codex view template: slides.ramith.fyi view repo: github.com/ramithuh/protein-…
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alex rubinsteyn retweeted
youtu.be/JAxkqb-nBWs?is=CH2H… the owl posting podcast portfolio is incredible. congratulations to coherence, insanely talented team
We’ve raised a $45m Series A, co-led by @foundersfund and The @OpenAI Startup Fund, to build cancer therapy that learns. Technology is rapidly changing medicine, but data loops and rapid adjustments are still largely missing. When you start cancer treatment, knowing whether what you’re doing is working is too slow. Clearly there is a better way. Build systems to watch cancer in real time, then feed that data into a system that itself can treat the disease. This seeds a future where, unlike drugs, we develop medicine that continuously learns to improve itself. We've been building neurotechnology and BCI platforms to do just that. @coherenceneuro
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alex rubinsteyn retweeted
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alex rubinsteyn retweeted
If your Author Accepted Manuscript was supported by @NIH funding, it must be posted publicly to PMC without an embargo. There's no cost and it does not require buying expensive open access plans. Take steps to upload your Author Accepted Manuscript here: nihms.nih.gov/login/?next=/s…
.@JAMAInternalMed recently published a thoughtful piece on public access calling for NIH to assert its position regarding compliance with the NIH Public Access Policy. NIH has the right to make the Author Accepted Manuscript, which has been supported by taxpayers, public in PubMed Central at time of publication; a right which is independent from any publisher agreement. This is a free path to compliance for authors, helping us ensure rapid public access to NIH-supported research results.
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alex rubinsteyn retweeted
Two years of work, and PySR v2 is finally out! If you haven't used it before: PySR is a machine learning library that finds short equations that fit your data. I've always wanted a PyTorch for symbolic learning. PySR v2 is a big step towards that:
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alex rubinsteyn retweeted
🇨🇳 China IND Tracker (October 12–18) 16 novel drugs received their first IND clearances in China during the week, according to China’s Center for Drug Evaluation (CDE) disclosures. Notable INDs: 1. $ANL Adlai Nortye (阿诺生物) — AN4035 Injection MOA: CEACAM5-targeting ADC conjugated with a highly potent pan-RAS(ON) inhibitor Indication: Advanced or metastatic solid tumors with RAS mutations and enriched CEACAM5 expression, including colorectal cancer, pancreatic ductal adenocarcinoma, and non-small cell lung cancer 2. Yuekang Pharma (悦康药业) — YKYY036 Injection MOA: INHBE-targeting siRNA conjugated with GalNAc ligand Indication: Obesity or overweight 3. Precision Biotech (精准生物) — TC-13-183 Cell Therapy MOA: Cell therapy Indication: CEA-positive advanced peritoneal metastatic colorectal cancer 4. CSPC (石药集团) — SYS6088 Injection MOA: PD-1/VEGFA/CTLA-4 trispecific antibody Indication: Advanced or metastatic solid tumors 5. Qilu Pharma (齐鲁制药) — QLS2401 Injection MOA: PSMA/STEAP1/CD3 trispecific antibody Indication: Advanced prostate cancer 6. Institute of Biophysics, Chinese Academy of Sciences / Sinovac Biotech (中科院生物物理所/科兴集团) — SNA01 Injection MOA: Long-acting anti-RSV mab for intramuscular administration Indication: Prevention of RSV lower respiratory tract infections in neonates and infants 7. Essight Biotech (灵识质源) — ES502 Injection MOA: RAS G12V-targeting TCR-TCE Indication: RAS G12V positive advanced solid tumors 8. Chipscreen (微芯生物) — NW001 for Injection MOA: Epigenetic immune-modulating antibody-drug conjugate (EIMAC), comprising a humanized anti-PD-L1 mab conjugated to an engineered HDACi payload Indication: Advanced malignancies, including solid tumors and lymphomas 9. Innostellar Biotherapeutics (朗昇生物) — LX111 Injection MOA: Gene therapy Indication: RVO-ME and DME 10. Metis TechBio (剂泰科技) — MTS109 Injection MOA: mRNA encoding a CD3×CD19×BCMA trispecific T-cell engager (TCE), delivered via LNPs Indication: SLE
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alex rubinsteyn retweeted
We now have prospective data with TOPO1 ADC sequencing from: - SATEEN (#ESMOBreast26) - HER3-DXd (#ESMOBreast26) - SWITCH (upcoming #ESMO26) All validate prior retrospective data, showing that TOPO1 ADC resistance is not overcome by target switch. New payloads urgently needed.
#ESMO26 | SWITCH – Phase II In mBC progressing after ADC therapy, switching the target antigen while continuing with the same TOP1 inhibitor payload class resulted in ORRs of only 0–8.3%. Although the sample size was small and the patient population heterogeneous, changing the target antigen alone does not appear sufficient to overcome resistance.
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alex rubinsteyn retweeted
We're working on an interactive book about cells, and how they work. Our next installment, "A Recipe for Cells," is out today. It's about what cells are made from and why, despite us *knowing* what they are made from, we are not able to create life synthetically. Read: press.asimov.com/books/burri…
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alex rubinsteyn retweeted
I've always been bothered by how inefficiently most genomics software handle 1-hots. Many use 32 bits to store each 0/1 (128 bits/position!). High memory use slows down everything: modifying a sequence, generating shuffles, reading from/writing to disk, transfer to a GPU, etc.
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alex rubinsteyn retweeted
BindCraft2 v1.0.4 has been released: with significantly improved VHH, scFv, ARP, and induced fit targeting. WE also improved speed and code stability. Try your difficult campaigns again. Great work by Erik Mäeots, Leonardo Tredese and Elizaveta Chernova.
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alex rubinsteyn retweeted
guess which animal does NOT have mitochondria with their mtDNA arranged in mini circles/distinct separate circular chromosomes inside the mitochondria
19%rotifers
21%parasitic fish cnidarians
20%pale cyst nematodes
40%human body lice
281 votes • Final results
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alex rubinsteyn retweeted
underdiscussed background to GLPs is the lack of murine work that fueled its success - anglerfish? yes! gila monsters? yes! mouse ko models? luckily no!!!
GLPs came to us through NIH grants funding basic research gaps in our understanding of insulin secretion and glucagon production in the 80s/Svetlana Mojsov and Joel Habener at Mass Gen
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alex rubinsteyn retweeted
lol sclerostin inhibitors rebuilding my mom’s skeleton and GLPs solving the obesity crisis and gene therapies that keep SMA kids alive and at little league practice is 1e283x cooler than a flying car, idk where you’ve been in biotech lately
Biotech, can we please do cooler stuff
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Thesis defense by @DhuviKarthikey1 “Towards Personalized T Cell Therapies”
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Has anyone published proteomics data for which uORFs (and more broadly ncORFs) are translated in dogs?
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OAI proofdump going to leave us with a bunch of wayyyy better asymptotics than people suspected possible across many different fundamental problems but zero new usable algorithms?
Record verified! Problem: 3SUM Value: O(n^1.921) Player: c0ldzy17 Status: Lean Verified
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Structural variant detection across sequencing technologies nature.com/articles/s41587-0…
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