Tweetovi

	Arjun (Raj) Manrai proslijedio/la je tweet
	Jon Gjengset @jonhoo	3. velj
	In January, @anishathalye, @jjgort, and I ran a short class at @MIT_CSAIL on topics we think are missing in most CS programs — tools we use every day that everyone should know, like bash, git, vim, and tmux. And now the lecture notes and videos are online! missing.csail.mit.edu pic.twitter.com/xNSlLgJfd4
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	Arjun (Raj) Manrai @arjunmanrai	2. velj
	"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 @IAmSamFin twitter.com/IAmSamFin/stat…
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	Arjun (Raj) Manrai @arjunmanrai	27. sij
	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: github.com/manrai/BMI704_… pic.twitter.com/fyhyZnXU75
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	Arjun (Raj) Manrai proslijedio/la je tweet
	Isaac Kohane @zakkohane	13. sij
	This is a patient safety issue. GC’s understand genetics and probability more than many doctors (see MD skills: @JAMAInternalMed jamanetwork.com/journals/jamai…) twitter.com/MuinJKhoury/st…
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	Arjun (Raj) Manrai proslijedio/la je tweet
	Eric Topol @EricTopol	12. sij
	Perhaps the least acknowledged downside of deep neural net #AI models: the carbon footprint But this key preprint is starting to get noticed arxiv.org/abs/1906.02243 by @strubell @andrewmccallum jamanetwork.com/journals/jama/… @AndrewLBeam technologyreview.com/s/613630/train… @techreview @_KarenHao pic.twitter.com/j3dcGityEv
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	Arjun (Raj) Manrai proslijedio/la je tweet
	Ken Mandl @mandl	10. sij
	So proud of @Bos_CHIP @BostonChildrens undergrad student Luke Melas Kyriazi who is now a Rhodes Scholar! rhodeshouse.ox.ac.uk/scholars/rhode… #RhodesScholarships (and great mentorship by @arjunmanrai )
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	Arjun (Raj) Manrai @arjunmanrai	8. sij
	Odgovor korisniku/ci @AndrewLBeam @JFutoma A PAC of ML researchers? pic.twitter.com/kC5TJlBP7H
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	Arjun (Raj) Manrai proslijedio/la je tweet
	Eric Topol @EricTopol	7. sij
	The importance of reproducibility and replication for #AI models in #healthcare, and the under-appreciated barriers for this to be achieved jamanetwork.com/journals/jama/… @JAMA_current by @AndrewLBeam @arjunmanrai and @MarzyehGhassemi @HarvardDBMI @UofTCompSci @Bos_CHIP @VectorInst pic.twitter.com/kQam7utFEm
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	Arjun (Raj) Manrai proslijedio/la je tweet
	Chirag Patel @chiragjp	6. sij
	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: factor.niehs.nih.gov/2020/1/feature…. Proud to be supported by @NIEHS! c/o: cell.com/cell-host-micr… cc @adkostic
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	Ben Kompa @BenKompa	6. sij
	Presenting "cui2vec" 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 #PSB20 pic.twitter.com/iB6dBw0bFE
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	Arjun (Raj) Manrai proslijedio/la je tweet
	Gary Collins 🇪🇺 @GSCollins	6. sij
	"[...] 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" tinyurl.com/y4kxcm8n twitter.com/MaartenvSmeden…
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	JAMA @JAMA_current	6. sij
	At a minimum, a #machinelearning model should be reproduced, and ideally replicated, before it is deployed in a clinical setting ja.ma/35m6Aqj
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	Arjun (Raj) Manrai @arjunmanrai	6. sij
	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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	Maarten van Smeden @MaartenvSmeden	6. sij
	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 jamanetwork.com/journals/jama/… pic.twitter.com/tmdDRomowl
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	Andrew Beam @AndrewLBeam	6. sij
	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: jamanetwork.com/journals/jama/… pic.twitter.com/0qYV8h3NuU
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	Arjun (Raj) Manrai @arjunmanrai	19. pro
	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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	Arjun (Raj) Manrai @arjunmanrai	16. pro
	⁦@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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	Arjun (Raj) Manrai @arjunmanrai	10. pro
	Breadth and depth on display at ⁦@NeurIPSConf⁩ #NeurIPS2019 pic.twitter.com/ACDYLilBI1
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	Arjun (Raj) Manrai @arjunmanrai	2. pro
	Amazing opportunity for undergrads wanting to do cutting edge biomedical informatics and machine learning research at @harvardmed! twitter.com/HarvardDBMI/st…
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	Arjun (Raj) Manrai @arjunmanrai	2. pro
	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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