Medical Technology

Current search: machinelearning medicine data

@calvin_zcx 1 year ago

Super glad to give a lecture @cornell_tech on using #MachineLearning and #EHR #RWD data to understand #LongCovid, covering our latest Nature Communication and Nature Medicine papers https://t.co/6K9CsXPBal

@dr_nael 1 year ago

Practicing precision medicine with intelligently integrative clinical and multi-omics data analysis #artificialintelligence #dataanalysis #integrativeanalysis #healthcare #integrativemedicine #medicine #multiomics #machinelearning #precisionmedicine https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7530549/

@stew_ilondanga 1 year ago

Another application of big data in healthcare is the use of personalized medicine. #gainwithstewartilondanga #AR #AI #MR #XR #NFT #Web3 #SaaS #AIoT #MLOps #Space #DevOps #fintech #Metaverse #VirtualReality #SlackFrontiers #CyberSecurity #MachineLearning #PodcastAndChill #PS5 #HBO

@Radiology_AI 1 year ago

"The aim of this article is to discuss data, data creation, and the potential financial stakeholders for the development of #AI in medicine" https://doi.org/10.1148/ryai.220054 @MayoFL_RadRes @ronnie_sebro @MayoRadiology #DataOwnership #ML #MachineLearning https://t.co/2DPMVyczPX

@moorejh 2 years ago

Synthetic data in machine learning for medicine and healthcare https://www.nature.com/articles/s41551-021-00751-8 #bioinformatics #machinelearning #bigdata #ehr

@IQVIA_global 2 years ago

#Genomics and #machinelearning will be crucial in identifying and analyzing health data in the coming years, creating the building blocks of precision medicine. Join us in our upcoming webinar to learn about the use of genomics in drug development: https://bit.ly/38UHO4A https://t.co/pWT1LyxNXa

@KU_ENT 2 years ago

Read about our cutting edge research leveraging #machinelearning to analyze complex data for clinical apps 🤓🧠 @drandresbur & @JenVillwockMD featured in Kansas Science + Medicine @KUMedCenter https://bit.ly/KUMedmagazine #ENTsurgery #WeAreOto #AugmentedIntelligence #MedTwitter https://t.co/ea8roT0ivo

@INM7_ISN 2 years ago

Do we need to re-think #MachineLearning for (brain) medicine? Current proof-of-concept studies on retrospective, repository data may not yield a relevant practical impact @den_hed & I argue for more "doctors at the black box" for more user perspective https://www.nature.com/articles/s41380-020-00931-z https://t.co/6NJrne9tuu

@rendocrinology 2 years ago

This thread is well worth reading for anyone interested in #MachineLearning or #AI in medicine, ESPECIALLY with EHR data. How you define outcomes & "time zero" are crucial-- make sure you understand the implications of your choices. https://twitter.com/kdpsinghlab/status/1407208969039396866

@AI4Pathology 2 years ago

Our new @natBME short paper demonstrates utility and identifies key challenges associated with using #synthetic data in #MachineLearning and #AI for medicine. Read link: https://rdcu.be/cmAfk Journal link: https://go.nature.com/3wtgSDr @richarizardd95 https://t.co/igwJTa8EZj

@kelkalot 3 years ago

Our latest work which is about how synthetic data can be used to analyse ECGs: "DeepFake electrocardiograms: the beginning of the end for privacy issues in medicine" Medrxiv: https://www.medrxiv.org/content/10.1101/2021.04.27.21256189v1.full.pdf Code: https://github.com/vlbthambawita/deepfake-ecg @vlbthambawita #AI #MachineLearning #ECG

@queensuResearch 3 years ago

#queensu researcher @ProfSimsim is the @CRC_CRC in Biomedical Computing and Informatics, leveraging #MachineLearning technologies to transform how clinicians treat #cancer using a data-driven, precision medicine approach | #QueensuResearch | #WomenInSTEM https://www.queensu.ca/research/researchers/amber-simpson-0

@JudyCho7 3 years ago

Writing a grant with no knowledge of biology, statistics or medicine, lacking a clear premise, but stating #MachineLearning a lot; such grants require access to lots of data you don't understand how to clean, or what is being measured. I have reviewed a few of these. https://twitter.com/girish_nadkarni/status/1353859126011568129

@marcusborba 3 years ago

Study offers data related to physicians' potential liability to use #AI in personalized medicine. #HealthTech #MachineLearning #BigData #Analytics #Python #RStats #DevCommunity #Serverless #womenwhocode #100DaysOfCode #DeepLearning #DataScience #Healthcare https://www.news-medical.net/news/20210111/Study-offers-data-related-to-physicians-potential-liability-to-use-AI-in-personalized-medicine.aspx https://t.co/VDxNdKQe5Q

@HPDSLab 3 years ago

We have a tool that does just this (extracting data and assembling it) for several different problems in medicine. Would love to get journal suggestions for receptive outlets. #MedTwitter #EpiTwitter #MachineLearning https://twitter.com/jonathanstray/status/1314633513832914944

@Raamana_ 3 years ago

The Pitt Brainhack @DeBurghing starts with a Guest Lecture by @amarquand on "Using #machinelearning and big data neuroscience to move toward precision medicine in #psychiatry". Their lab does very interesting and important work - join us! Latest program: https://pitt-brainhack.github.io/DeBurghing2020/ https://t.co/jqZ6rC33i4

@afranklynmiller 3 years ago

Can you combine data analytics, visual 3d and Open Sim and have an interest in the future of sports medicine prescription of exercise intervention ? Can you also code ? Get in contact if that’s you #machinelearning #data #sportsmedicine

@FOAMecmo 3 years ago

Technology to manage complexity in #ICU? intensive care? biggest amount of data vs any other area if medicine evidence suggest this can improve bedside care some practical barriers exists to translation @AriErcole #eSMART2020 #AI #MachineLearning #ArtificialIntelligence https://t.co/0O9VRJEgeW

@lavanyaai 3 years ago

In this episode of Gradient Dissent, @zacharylipton talks to @l2k about his fascinating journey from musician to Professor, applications of ML in medicine, counterfacutally augmented data and algorithmic fairness. It's a great listen! #machinelearning https://www.wandb.com/podcast/zack-chase-lipton

@machinelearnflx 3 years ago

Big Data, Genes, and Medicine https://zpy.io/4c2249b4 #machinelearning #ad

@machinelearnflx 3 years ago

Big Data, Genes, and Medicine https://zpy.io/4c2249b4 #machinelearning #ad

@machinelearnflx 3 years ago

Big Data, Genes, and Medicine https://zpy.io/4c2249b4 #machinelearning #ad

@moorejh 3 years ago

Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data https://www.nature.com/articles/s41598-020-69250-1 #informatics #machinelearning #privacy #security

@moorejh 3 years ago

Interested applying ML & AI to electronic health record data? Join me at 10:40am EDT for my TransMed 2020 keynote on 20 challenges for AI in medicine as part of #ISMB2020 https://www.iscb.org/cms_addon/conferences/ismb2020/tracks/transmedcosi #artificialintelligence #machinelearning #EHR #informatics #bioinformatics

@UnlearnAI 3 years ago

Check out @DataInnovation's newest Data Innovator interview: @ElineCMC spoke with @UnlearnAI Founder and CEO @charleskfisher. "[We are] using the kinds of data we encounter in medicine to build new #machinelearning technologies." #AI https://bit.ly/2Caub4v

@ravi_b_parikh 3 years ago

Lastly, this was a huge lift that took operations, research, and clinician leadership by @lynn_schuchter Larry Shulman@mdraugelis Nina O'Connor & others. Fuller data to come in next few months. But I feel a LOT more hopeful abt #AI/#machinelearning in medicine after this effort

@udacity 3 years ago

What are key skills required to apply #AI and #MachineLearning in #healthcare? - Curiosity & the ability to clean the data - Combine the knowledge of data with foundational info about healthcare & medicine - Analyzing the existing data - Domain knowledge #UdacityAIforHealthcare

@AriErcole 4 years ago

Comprehensive meta-analysis from @ESICM data science in Intensive Care Medicine: #MachineLearning can predict sepsis with AUC between 0.68–0.99 (ICU), 0.96–0.98 (hospital) and 0.87-0.97 (ED) But only 3 clinical implementations #TranslationGap https://doi.org/10.1007/s00134-019-05872-y https://t.co/HX9Gln3pAY

@nlliang 4 years ago

A spotlight on my collaboration with @PittVbl on using morphology and clinical data in #predicting #aaa growth! The intersection of #clinicalanalytics, #imaging and #machinelearning is the next step in personalized medicine. @UPMC_Vascular https://twitter.com/healthdatapgh/status/1214939918344044544

@BrandonPetersMD 4 years ago

Artificial intelligence and machine learning as applied to medicine and health data is often as much a blackbox as it sounds. #ArtificialIntelligence #MachineLearning #HealthTech #BigData #Biometrics #healthcare #futurism #sleep #WearableTech #wearables #medicine #medtwitter

@AZelezniak 4 years ago

Love data, machine learning and maybe you want to try yourself solving life-changing biological problems? Please join our team in London at the Francis Crick Institute to enable personalized medicine possible! #machinelearning #ai #data_science #London https://job-openings.monster.co.uk/machine-learner-expert-london-london-uk-the-francis-crick-institute/214200563

@KirkDBorne 4 years ago

How Data Analytics is transforming the #Healthcare industry: https://dy.si/yyKopR2 ————— #BigData #DataScience #Medtech #HealthTech #AI #MachineLearning #DigitalTransformation #ClinicalAnalytics #DeepLearning #abdsc ————— ➕See the "Deep Medicine" book: https://amzn.to/2DCbapl https://t.co/CTXXgLku5D

@ESICM 4 years ago

The @esicm is proud to support this initiated with the creation of its Data Science section and is supported by the Dutch Society for Intensive Care Medicine. #bigdata #MachineLearning #DataScience https://amsterdammedicaldatascience.nl/press/en.pdf https://twitter.com/avkwong/status/1196143618169462786

@KirkDBorne 4 years ago

@MSFT_Business 4 years ago

Johns Hopkins Medicine is tapping vast amounts of data to better predict disease progression using #Cloud and #MachineLearning: http://msft.social/lPanHu #AI @HopkinsMedicine https://t.co/OO8A0aZlxE

@KirkDBorne 4 years ago

How Data Analytics is transforming the #Healthcare industry: https://dy.si/yyKopR2 ————— #BigData #DataScience #Medtech #HealthTech #AI #MachineLearning #DigitalTransformation #ClinicalAnalytics #DeepLearning #abdsc ————— +See the "Deep Medicine" book: https://amzn.to/2DCbapl https://t.co/887bR8rhxM

@KirkDBorne 4 years ago

How Data Analytics is transforming the #Healthcare industry: https://dy.si/yyKopR2 ————— #BigData #DataScience #Medtech #HealthTech #AI #MachineLearning #DigitalTransformation #ClinicalAnalytics #DeepLearning #abdsc ————— +See the "Deep Medicine" book: https://amzn.to/2DCbapl https://t.co/VpidKm7rX4

@KirkDBorne 4 years ago

How Data Analytics is transforming the #Healthcare industry: https://dy.si/yyKopR2 ————— #BigData #DataScience #Medtech #HealthTech #AI #MachineLearning #DigitalTransformation #ClinicalAnalytics #DeepLearning #abdsc ————— +See the "Deep Medicine" book: https://amzn.to/2DCbapl https://t.co/Cei4Dsj1yN

@ProjectShivom 4 years ago

Patient-centric approach, data-driven medicine and improved healthcare communication will remain the top AI trends in healthcare this year. https://buff.ly/2RIyreU #healthcare #research #shivom #AI #genomics #cancer #patient #machinelearning #datamining #technology https://t.co/qFcmkG5zhL

@SickKidsNews 4 years ago

SickKids is pursuing the use of #artificialintelligence & #machinelearning to support precision medicine. We’re looking for a Chief Data Officer who will have a leadership role in defining this approach. Apply here: https://career.sickkids.ca:8001/psc/CRPRD/CAREER/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&Action=U&FOCUS=Applicant&SiteId=1&JobOpeningId=11282&PostingSeq=1 https://t.co/Dl4NlRSSgW

@KirkDBorne 4 years ago

How Data Analytics is transforming the #Healthcare industry: https://dy.si/yyKopR2 #abdsc —————— #BigData #DataScience #Medtech #HealthTech #AI #MachineLearning #DigitalTransformation #ClinicalAnalytics #DeepLearning —————— +See the "Deep Medicine" book: https://amzn.to/2DCbapl https://t.co/M81n35Lx12

@NEOdotLIFE 4 years ago

"The future of medicine is that the role of specialists—other than the primary care physician—is going to be diminished, because the diagnostic realm is moving toward #AI & #machinelearning. There’s just too much data & info for any individual to process." https://buff.ly/2IHi94q

@HopkinsMedicine 5 years ago

Register to attend #JHPrecisionMed19 on May 30 for an unveiling of the Precision Medicine Analytics Platform, PMAP, which utilizes #machinelearning to combine disparate clinical data sources: http://bit.ly/inhealthsymposium @HopkinsInHealth @JHUAPL https://t.co/X9ZHZYvWOk

@raamana_ 5 years ago

Random tip: if a PI publishes over 25 papers/year (more than 2 papers/month), in a heavily data- and optimization-driven research e.g. #MachineLearning in medicine, without releasing their codebase or using public libraries, be HIGHLY skeptical about their results. #phdchat

@IainLJBrown 5 years ago

DATAx presents: Tackling counterfeit medicine with AI, blockchain and machine learning | Articles | Big Data - Innovation Enterprise Read more here: https://ift.tt/2RHEG1M #MachineLearning #ML #DataScience #DeepLearning #NLP #Robots #AI #IoT #BigData

@IainLJBrown 5 years ago

Paradigm4 Launches Precision Medicine Platform for UK Biobank Data And Announces Industry-leading Adopters - Associated Press Read more here: https://ift.tt/2RnxiZC #DataScience #MachineLearning #DeepLearning #NLP #Robots #AI #IoT #BigData

@IainLJBrown 5 years ago

UB is developing a new data science librarian training program, thanks to a National Library of Medicine grant Read more here: https://ift.tt/2OmJkjr #DataScience #MachineLearning #DeepLearning #NLP #Robots #AI #IoT #BigData