@medical_xpress 10 months ago
Scientists use #machinelearning to 'see' how the #brain adapts to different environments @naturemethods https://doi.org/gsbfgf https://medicalxpress.com/news/2023-06-scientists-machine-brain-environments.html
@S_LeClainche 10 months ago
Interested in #MachineLearning and #DataScience? ModelFLOWs-app is our #opensource #Software where you can find #Python codes for different #applications (fluid dynamics, non-linear systems, #Engineering, #medicine,...). Download in: https://modelflows.github.io/modelflowsapp/
@TysonLester 1 year ago
Via @MedicalExpoEMag: "Trust & #ArtificialIntelligence in Healthcare." http://emag.medicalexpo.com/trust-and-artificial-intelligence-in-healthcare/ 3 different categories of trust: -Technical trust -Human trust -Regulatory trust #AI— poised to change #healthcare in monumental ways. #BigData #IoT #InternetOfThings #MachineLearning
@ResearchGermany 1 year ago
Same symptom – different cause? Algorithms help to distinguish diseases at the molecular level 🩺 Read more here http://ow.ly/Qa0O50JkC6a @TU_Muenchen #MachineLearning #Biomedicine #MedicalTech
@medical_xpress 1 year ago
Using #machinelearning to derive different causes from the same symptoms @TU_Muenchen @PNASNews https://doi.org/gp72pg https://medicalxpress.com/news/2022-05-machine-derive-symptoms.html
@TysonLester 1 year ago
Via @MedicalExpoEMag: "Trust & #ArtificialIntelligence in Healthcare." http://emag.medicalexpo.com/trust-and-artificial-intelligence-in-healthcare/ 3 different categories of trust: -Technical trust -Human trust -Regulatory trust #AI— poised to change #healthcare in monumental ways. #BigData #IoT #InternetOfThings #MachineLearning
@medical_xpress 2 years ago
New #machinelearning tool can discover immune receptors that react to many different antigens @NatMachIntell https://medicalxpress.com/news/2022-01-machine-tool-immune-receptors-react.html
@IoannaBouri 2 years ago
Hi! #minätutkin #machinelearning approaches that can help medical professionals analyze the cancer risks associated with different exposures and detect possible interactions. @helsinkiuni [so cool to read about everyone’s research] #research #phdresearch #phdchat
@marcusborba 2 years ago
AI Blood Test Shown to Detect >90% of Lung Cancers Across Different Stages https://bit.ly/2Wg8E4N @GENbio #Healthcare #ArtificialIntelligence #DataScience #MachineLearning #AI #100DaysofCode #serverless #womenwhocode #BigData #Analytics #Python #ML #DeepLearning #Medicine https://t.co/BkZswx1ZW1
@TysonLester 2 years ago
Via @MedicalExpoEMag: "Trust and #ArtificialIntelligence in Healthcare." http://emag.medicalexpo.com/trust-and-artificial-intelligence-in-healthcare/ 3 different categories of trust to be addressed: -Technical trust -Human trust -Regulatory trust #AI is poised to change #healthcare in monumental ways. #BigData #MachineLearning
@TysonLester 3 years ago
Via @MedicalExpoEMag: "Trust and #ArtificialIntelligence in Healthcare." http://emag.medicalexpo.com/trust-and-artificial-intelligence-in-healthcare/ 3 different categories of trust to be addressed: -Technical trust -Human trust -Regulatory trust #AI is poised to change #healthcare in monumental ways. #BigData #MachineLearning
@marcusborba 3 years ago
Effect of Different Batch Size Parameters on Predicting of COVID19 Cases. #Medicine #BigData #Analytics #Python #RStats #JavaScript #ReactJS #Serverless #Linux #IoT #Programming #100DaysOfCode #AI #DataScience #MachineLearning #DeepLearning #Healthcare http://arxiv.org/abs/2012.05534 https://t.co/T2BJWexX5l
@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
@Abhishek4273 3 years ago
70+ Image classification datasets from different Industry domains - medical, satellite, automobile, fashion, sports - @towards_AI @Medium - https://medium.com/towards-artificial-intelligence/70-image-classification-datasets-from-different-industry-domains-part-2-cd1af6e48eda #100DaysOfCode #100DaysOfMLCode #301DaysOfCode #MachineLearning #github #DataScience #BigData #opensource #AI #DL https://t.co/Up0Z478erg
@toncarrera 3 years ago
Encouraging dialogue between the different disciplines and #datascience specialists can open a horizon of possibilities in both directions with mutual benefit. #datascience #MachineLearning #BigData #ML #AI #iot #datascientist #marketing #entrepreneur #medicine #business https://t.co/TS28520rG5
@KirkDBorne 3 years ago
.@DeptVetAffairs tests #AI ‘to-go’ delivery model to assist its medical centers during #pandemic — using embeddable AI modules that efficiently integrate across different systems: https://dy.si/5oTQh —— #HealthTech #BigData #DataScience #MachineLearning #DigitalTransformation https://t.co/shzIeiS0ep
@billrand 3 years ago
I firmly believe that AI will revolutionize medicine, but right now many algorithms haven't been tested on different pieces of equipment or with different groups of patients. #ai #MachineLearning #medicine #validation https://science.sciencemag.org/content/364/6446/1119
@hcg_md 3 years ago
Google’s medical AI was super accurate in the lab setting. Real life was a different story. #AI #MachineLearning https://www.technologyreview.com/2020/04/27/1000658/google-medical-ai-accurate-lab-real-life-clinic-covid-diabetes-retina-disease/
@SpirosMargaris 3 years ago
Google’s #medical #AI was super accurate in a lab. Real life was a different story. https://buff.ly/2yKfTpx #fintech #insurtech #ArtificialIntelligence #MachineLearning #DeepLearning #healthcare @strwbilly @techreview @ahier @psb_dc @terence_mills @pierrepinna @andi_staub https://t.co/vTkrqoyFWK
@THonkela 5 years ago
We people are different in many ways and it is very important to take that carefully into account in medicine, education, society etc. #MachineLearning #PeaceMachine #fairness #humanity https://twitter.com/andrewyng/status/1105991812555014144
@ameerakatar 7 years ago
The future of public health and medicine will be different. #MachineLearning #AI @stefanbuttigieg #WCPH2017 https://t.co/hRoPIfK4OR