Nancy Yacovzada
@NancyYaco
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Lady of python, machine learning & causality | PhD from @WeizmannScience | expertise in biomedical data science | red wine, spinning, trance music.
Latent space, Israel
Joined February 2015
🚀𝐕𝐢𝐬𝐢𝐨𝐧-𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐬-𝐛𝐚𝐬𝐞𝐝 𝐨𝐫𝐠𝐚𝐧𝐞𝐥𝐥𝐚𝐫 𝐩𝐡𝐞𝐧𝐨𝐭𝐲𝐩𝐢𝐧𝐠 𝐮𝐧𝐯𝐞𝐢𝐥𝐬 𝐡𝐢𝐝𝐝𝐞𝐧 𝐀𝐋𝐒 𝐦𝐞𝐜𝐡𝐚𝐧𝐢𝐬𝐦𝐬! 🧵 Thread on 𝘕𝘖𝘝𝘈 (𝘕𝘦𝘶𝘳𝘰𝘯𝘢𝘭 𝘖𝘳𝘨𝘢𝘯𝘦𝘭𝘭𝘰𝘮𝘪𝘤𝘴 𝘝𝘪𝘴𝘪𝘰𝘯 𝘈𝘵𝘭𝘢𝘴)🎗️ our deep-learning model trained with
biorxiv.org
Systematic assessment of organelle architectures, termed the organellome, offers valuable insights into cellular states and pathomechanisms, but remains largely uncharted. Here, we present a pipeline...
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7 days for a manuscript review with AI + human @NEJM_AI
ai.nejm.org
This issue of NEJM AI features the first two articles published through our accelerated human+AI review process. In this editorial, we describe the invitation-only “Fast Track” process used to revi...
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Holy shit...Stanford just built a system that converts research papers into working AI agents. It’s called Paper2Agent, and it literally: • Recreates the method in the paper • Applies it to your own dataset • Answers questions like the author This changes how we do science
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🚨 The older the sperm, the more likely it is to cause autism Sequencing sperm using nearly error-free sequencing → measure % sperm carrying disease-causing mutations: 2% at age 30 → 4.5% at 70 Most were autism genes New paper in @Nature today 🧵
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I'm a neuroscientist. "AI psychosis" is constantly in the news. Together with my psychiatry colleague, I reviewed the largest case-series published so far. Here are my thoughts 🧵
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🎯 TARGET Guideline published 🎉 TARGET is a reporting guideline for observational studies of interventions that use the target trial framework. Over 3 years it was rigorously developed and was co-published today in @JAMA_current & @bmj_latest
https://t.co/Dm8lgJmP6j
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One of my favorite works ✨ Not just another research paper left on the shelf, but a model that actually crossed the research–clinic gap. 𝗙𝗶𝗯𝗿𝗼-𝗣𝗿𝗲𝗱𝗶𝗰𝘁 was prospectively validated on real patients, forecasting the likelihood of 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗹𝗶𝘃𝗲𝗿
Fibro predict a machine learning risk score for advanced liver fibrosis in the general population using Israeli electronic health records https://t.co/AkD5SyjOO2
#MachineLearning #NatureJournal #AI
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Fibro predict a machine learning risk score for advanced liver fibrosis in the general ... - Nature https://t.co/i5XakIZsV8
#MachineLearning
nature.com
Scientific Reports - Fibro predict a machine learning risk score for advanced liver fibrosis in the general population using Israeli electronic health records
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# on shortification of "learning" There are a lot of videos on YouTube/TikTok etc. that give the appearance of education, but if you look closely they are really just entertainment. This is very convenient for everyone involved : the people watching enjoy thinking they are
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Have $10M and want to cure some diseases? It costs ~$1B to invent a new medicine…but $10M buys you Project Encore, to see if ANY existing drug might be repurposed for ~100 diseases that have no treatments. Contact me - be a hero for desperate patients! https://t.co/9mKWkkRWYy
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The FDA just updated the approval for Inclisiran—a small-interfering RNA therapy for cholesterol—by making it a front-line therapy. Now, with just two shots a year rather than with daily statin dosing, practically anyone can achieve healthy LDL. Long-acting drugs are winning!
It is insanely optimistic that we have drugs that can reduce Lp(a) levels by 98% in trials right now. If they succeed, they could help to crush heart disease and stroke.
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🧬Could IL-6 signaling be the true therapeutic target behind the smokescreen of hs-CRP? 👉While hs-CRP has long been used as a biomarker of residual inflammatory risk, human genetics suggests it may not be the driver we once thought 👉The IL-6 signaling pathway has emerged as a
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Excited to share a milestone published in @NatureMedicine from our decade-long effort to build The Human Phenotype Project, a unique longitudinal cohort with unmatched depth of clinical and multi-omic profiling, enabling truly predictive, personalized medicine. Led together with
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DeepMind just dropped a 106-page paper unveiling AlphaGenome. This single model could completely redefine how we discover disease-causing mutations and drug targets. This is massive. 🧵
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שינוי מרענן. שמים מוזיקה פרסית ברקע.. #FreeIran שיגור מאיספהאן שלא השלים את הטיסה... תנחשו למה 💪 אבו צאלח הדסק הערבי https://t.co/gDpXHBTBNn
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فقط کسانی که از آزادی دفاع میکنند، لیاقت داشتنش را دارند. 🇮🇱
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