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Prikvačeni tweet
Excited to announce a new version of our course at Harvard, BMI704: Data Science for Medical Decision Making, and to be teaching with
@chiragjp. We'll release lectures, data, and an interactive text of data science methods at link below. Sched + Readings: https://github.com/manrai/BMI704_Spring2020 …pic.twitter.com/fyhyZnXU75
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"In my opinion, the careers of Trevor Hastie and Rob Tibshirani highlight the best of what happens when statisticians interact richly with machine learning researchers." - great post on the benefits of bridging stats & ML by
@IAmSamFinhttps://twitter.com/IAmSamFin/status/1223961801244758016 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Arjun (Raj) Manrai proslijedio/la je Tweet
This is a patient safety issue. GC’s understand genetics and probability more than many doctors (see MD skills:
@JAMAInternalMed https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/1861033 …)https://twitter.com/MuinJKhoury/status/1216830851759190017 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Arjun (Raj) Manrai proslijedio/la je Tweet
Perhaps the least acknowledged downside of deep neural net
#AI models: the carbon footprint But this key preprint is starting to get noticed https://arxiv.org/abs/1906.02243 by@strubell@andrewmccallum https://jamanetwork.com/journals/jama/fullarticle/2758612 …@AndrewLBeam https://www.technologyreview.com/s/613630/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/ …@techreview@_KarenHaopic.twitter.com/j3dcGityEv
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Arjun (Raj) Manrai proslijedio/la je Tweet
So proud of
@Bos_CHIP@BostonChildrens undergrad student Luke Melas Kyriazi who is now a Rhodes Scholar! http://rhodeshouse.ox.ac.uk/scholars/rhode …#RhodesScholarships (and great mentorship by@arjunmanrai )Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Arjun (Raj) Manrai proslijedio/la je Tweet
The importance of reproducibility and replication for
#AI models in#healthcare, and the under-appreciated barriers for this to be achieved https://jamanetwork.com/journals/jama/fullarticle/2758612 …@JAMA_current by@AndrewLBeam@arjunmanrai and@MarzyehGhassemi@HarvardDBMI@UofTCompSci@Bos_CHIP@VectorInstpic.twitter.com/kQam7utFEm
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Arjun (Raj) Manrai proslijedio/la je Tweet
Of the 3K papers published by
@NIEHS grantees in 2019, I am proud that RagGroup student@BradenTierney's work in@cellhostmicrobe was among the 26 recognized by the institute: https://factor.niehs.nih.gov/2020/1/feature/2-feature-papers-of-the-year/index.htm?utm_source=efactor-newsletter&utm_medium=email&utm_campaign=efactor-newsletter-2020-January …. Proud to be supported by@NIEHS! c/o: https://www.cell.com/cell-host-microbe/pdfExtended/S1931-3128(19)30352-X#.XhPEm0NlcoI.twitter … cc@adkosticHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Arjun (Raj) Manrai proslijedio/la je Tweet
Presenting "cui2vec" https://arxiv.org/abs/1804.01486 today at
@PacSymBiocomp. Work done with@AndrewLBeam and@zakkohane (and many others!) on extracting medical knowledge across multiple massive data sources#PSB20pic.twitter.com/iB6dBw0bFE
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Arjun (Raj) Manrai proslijedio/la je Tweet
"[...] machine learning researchers moving into medical applications could [should] adhere to standard reporting guidelines such as TRIPOD, CONSORT, and SPIRIT, which are now being adapted for machine learning and artificial intelligence applications" https://tinyurl.com/y4kxcm8n https://twitter.com/MaartenvSmeden/status/1214243326561587200 …
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Arjun (Raj) Manrai proslijedio/la je Tweet
At a minimum, a
#machinelearning model should be reproduced, and ideally replicated, before it is deployed in a clinical settinghttps://ja.ma/35m6AqjHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Reproducing neural architecture search for some ML models can cost 3 R01 grants, but do most medical applications need this? Our take on the top challenges to reproducibility of machine learning in medicine in the latest
@JAMA_current:pic.twitter.com/33AjE2lraY
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Arjun (Raj) Manrai proslijedio/la je Tweet
New viewpoint worth reading about reproducible machine learning by
@AndrewLBeam@arjunmanrai@MarzyehGhassemi. Reproducing machine learning models can be expensive (>1M$ just to rerun the algorithms) but vital before implemented in clinical practice https://jamanetwork.com/journals/jama/fullarticle/2758612?guestAccessKey=f7a40b11-5247-4c38-bf53-00f1389925ff&utm_source=twitter&utm_medium=social_jama&utm_term=3014867549&utm_campaign=article_alert&linkId=80045473 …pic.twitter.com/tmdDRomowl
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Arjun (Raj) Manrai proslijedio/la je Tweet
New article with
@arjunmanrai &@MarzyehGhassemi where we outline some specific reproducibility challenges for ML in healthcare. Main issues: - Data sharing - Code documentation - Expense of reproduction Read the full article now in@JAMA_current: https://jamanetwork.com/journals/jama/fullarticle/2758612 …pic.twitter.com/0qYV8h3NuU
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Incredibly privileged to work alongside this group and proud of all they accomplished in 2019. Excited for the next year!pic.twitter.com/43UgkKOwh9
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@NAChristakis at @Bos_CHIP today demonstrating the power of human networks to shape our health and our lives.pic.twitter.com/JldCTzFaA3
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Breadth and depth on display at
@NeurIPSConf#NeurIPS2019pic.twitter.com/ACDYLilBI1
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Amazing opportunity for undergrads wanting to do cutting edge biomedical informatics and machine learning research at
@harvardmed!https://twitter.com/HarvardDBMI/status/1201525408530751489 …
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Honoring
@MIT_CSAIL's Pete Szolovits at@harvardmed ,@zakkohane shares 3 articles by Pete that were decades ahead of their time and are being recapitulated today.pic.twitter.com/7iLRjOtxoo
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Incredibly proud of my student Luke Melas-Kyriazi for being selected as a Rhodes Scholar. Keep an eye out for his machine learning+medicine work at
@UniofOxford!https://news.harvard.edu/gazette/story/2019/11/five-harvard-students-named-american-rhodes-scholars/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Arjun (Raj) Manrai proslijedio/la je Tweet
After seven amazing years in Boston, I am both sad and excited to (finally) be able to officially announce that I'll be returning to my native Australia in 2020 to start a new adventure!
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