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
insitro is united by our passion for finding new ways to design & deliver medicines to patients. We’re looking for exceptional people to join us in using #MachineLearning and data at scale to transform drug discovery & development. Learn more at https://insitro.com/careers #AI #ML https://t.co/rF6I4ydkXr
Another application of big data in healthcare is using medicare fraud detection. #gainwithstewartilondanga #AR #AI #MR #XR #NFT #Web3 #SaaS #AIoT #MLOps #Space #DevOps #fintech #Metaverse #VirtualReality #SlackFrontiers #CyberSecurity #MachineLearning #PodcastAndChill #PS5 #Xbox
In #machinelearning, synthetic data can offer real performance improvements Models trained on synthetic data ➡️ eliminate privacy, copyright, & ethical concerns from using real data @MIT_CSAIL @MITEECS @MIT_SCC @MITIBMLab #health #healthcare #medicine https://news.mit.edu/2022/synthetic-data-ai-improvements-1103
#Python can turn you into a medical doctor So I spent the day analysing data of 70000 patients from a hospital using python and jupyter notebook. Cholesterol and Weight are the 2 big diff between those with/without cardio disease #100DaysOfCode #Coding #DataScience https://t.co/xL1lW6QYUL
An interesting study recently published in @PalliativeMedJ looks at the use of #MachineLearning models to detect social distress, spiritual pain as well as severe symptoms in end-of-life #cancer patients using data from medical records. Read more here: https://journals.sagepub.com/doi/full/10.1177/02692163221105595
Scientists at @TU_Muenchen have now developed a new method of using molecular data to extract subtypes of illnesses 🩺 Read more about their work here http://ow.ly/WtrQ50JkC4X #MachineLearning #Biomedicine #MedicalTech
Opening Session of the Asia-Pacific @APBioNetorg #BWF2022 #Student #Workshop on #Artificial #Intelligence driven #Bioinformatics. Starting today, we teach #Statistics & #machinelearning approaches on using existing data/information 2predict future outcomes Day1: #AI in #Medicine https://t.co/8O07ekm7lN
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
Development of #MachineLearning Model Using #EHR Data 2 Identify #Antibiotics Use Among #Hospitalized #patients @rebsmoe @GermsAndNumbers @Deverick_A #MedTwitterAI #ML #ArtificialIntelligence #DHPSP #MedTwitter #MedTwitterAI #data #scicomm #MedTech #Medical #MedEd #AI #bigdata https://twitter.com/alvie_barr/status/1376917871125757953
#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
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
Day 36: Started on project 3/5 in #DataScience with #freeCodeCamp 'Medical Data Visualizer' using #matplotlib this time. Watched some more on #PyTorch video for #ArtificialIntelligence Drew another landscape with #inkscape #100DaysOfCode #MachineLearning #python #svg https://t.co/X3TFuwreDS
10 Interesting and Impressive #AI Projects for Absolute Beginners (with Python Source Code) By @PiProgramming http://buff.ly/3gyJxhV #Chatbot Spam E-Mails Identifier Handwritten Digits Recognition Cancer Detection using medical data Via @100DaysOfMLCode #MachineLearning https://t.co/URep7v9V77
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
10 Interesting and Impressive #AI Projects for Absolute Beginners (with Python Source Code) | @PiProgramming https://buff.ly/3gyJxhV #Chatbot Spam E-Mails Identifier Handwritten Digits Recognition Cancer Detection using medical data ... #MachineLearning Cc @DeepLearn007 https://t.co/wof9VNgffS
Day 191/300 - Experimented with blood cell type classification using monk: https://github.com/Tessellate-Imaging/monk_v1/blob/master/tutorials/Blood%20Cell%20Type%20Classification:%20Understanding%20the%20impact%20of%20depth%20in%20network.ipynb Data credits: https://www.kaggle.com/paultimothymooney/blood-cells #100DaysOfCode #100DaysOfMLCode #301DaysOfCode #medicalimaging #blood #ArtificialIntelligence #DeepLearning #MachineLearning #OpenSource https://t.co/yKoHihkkP1
Leaders in clinical and data science joined forces to investigate the answers to important clinical questions using big medical datasets at SCCM's first #DataScience Datathon! #CCC49 #SCCMSoMe https://t.co/xXQ4xr4V4b
Investigate #Coronavirus epidemic & patient medical data using built-in #Wolfram Language functionality. Join us today @ 11AM CST for a live #DataScience exploration with Rory Foulger & Wolfram High School Summer Camp Alum, Jessica Shi: https://www.twitch.tv/wolfram https://t.co/VyI87TjpdW
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
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
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
Dr. Andreas M Kogelnik, Open Medicine Institute, talking about using genomics, proteomics, and data revolution to find a cure for Lyme disease. #BigData #LymeInnovation #TippingPoint #OpenScience #Omics https://t.co/FVdT1AL3Fn
Hacking the Aging Code https://neurosciencenews.com/big-data-aging-10255/ Study describes a strategy for systematic development of novel anti-aging therapeutics and biomarkers of aging using the data from medical studies and large biobanks. #aging #bigdata #neuroscience #science
Looking forward to presenting at 9:30 AM at @Dreamforce #DF18, on Practicing Medicine More Precisely Using a Trillion Points of Data! Join us in the InterContinental Hotel Grand Ballroom A-B! http://buff.ly/2ODpSQK #pm101 #precisionmedicine #bigdata https://t.co/cjrfK1cqgz
Google is Using 46 Billion Data Points to Predict the Medical Outcomes of Hospital Patients: https://qz.com/1189730/google-is-using-46-billion-data-points-to-predict-the-medical-outcomes-of-hospital-patients/ #Healthcare #BigData #DataScience #AI #MachineLearning #DeepLearning #DataMining #HealthTech #EHR https://t.co/85UYuXlPI3
Google is using 46 billion data points to predict the medical outcomes of hospital patients @qz #bigdata #AI #health https://qz.com/1189730/google-is-using-46-billion-data-points-to-predict-the-medical-outcomes-of-hospital-patients/
New Era, new Ethics : Proof Work aims to decentralize #Medical data by using the blockchain http://goo.gl/alerts/YZqtL #DataScience #AI #ML #DL #InternetOfThings #ArtificialIntelligence #MachineLearning #DeepLearning #BlockChain #Technology #data #Blockchain #MEDTECH #MedtechRising
