@TysonLester 28 days ago
Via @BuiltIn: "15 Examples of #MachineLearning in #Healthcare that are Revolutionizing #Medicine." https://builtin.com/artificial-intelligence/machine-learning-healthcare What will #ArtificialIntelligence do for healthcare in 2021 & beyond? - Imaging - Records - Treatment & Prediction +MORE #BigData #AI #Tech #Technology
@sallyeaves 1 month ago
Advancing Personalised #medicine with #AI New #research to improve #cancer prediction specifically breast cancer shows promise #data available on #github here http://bit.ly/MLMedicine #MachineLearning #ML #coding #TechForGood #health #technology #Python #IoT #NLP #DeepLearning https://t.co/RxOC2WksHp
@TysonLester 3 months ago
Via @BuiltIn: "15 Examples of #MachineLearning in #Healthcare that are Revolutionizing #Medicine." https://builtin.com/artificial-intelligence/machine-learning-healthcare What will #ArtificialIntelligence do for healthcare in 2021 & beyond? - Imaging - Records - Treatment & Prediction +MORE #BigData #AI #Tech #Technology
@Medtorek 5 months ago
#MachineLearning in the prediction of medical inpatient length of stay Plausible tool Via @The_IMJ ⚓️https://bit.ly/2HxgWNM @EFMI @gprietoz @DiandelaIglesia @ipfconline1 @Taniachinos @juanjobeunza @Ramondiax1 https://t.co/FR8fAFcaDh
@marcusborba 7 months ago
Multimodal Depression Severity Prediction from medical bio-markers using #MachineLearning Tools and Technologies. #BigData #Analytics #RStats #Python #JavaScript #ReactJS #Serverless #IoT #Linux #100DaysofCode #Programming #DataScience #DeepLearning #AI https://arxiv.org/abs/2009.05651 https://t.co/sEhdIXpzVv
@EETimes_EU 7 months ago
#Artificialintelligence has tremendous potential in medicine in terms of #disease transmission prediction and #drug development. This article tells you how #AI propels #medicine development. #medtech #medicalimaging #BigData #MachineLearning #diagnostics https://www.eetimes.eu/how-ai-propels-medicine-development/
@Beccajfish 8 months ago
I’ll repeat the important bit You. can’t. map. population. prediction. models. onto. individuals. (Note- Medicine could use a reminder if this too- I’m looking at you, prognostic factor observational study) #alevels2020 #DataScience https://twitter.com/matthewsperrin/status/1295444130164887554 https://t.co/Dn6atAcTfI
@ulmdesign 8 months ago
Building models for heart disease prediction using #MachineLearning techniques - #opensource > https://github.com/rtflynn/Heart-Disease-Model | #Python #DeepLearning #scikitlearn #keras #kaggle #heart #disease #medical #clinical #research #CSV #DataScience #NeuralNetwork https://t.co/gR0G2YG9pL
@PittSTREAM 8 months ago
Study in @PLOSONE by @jennyciganic, PittSTREAM's @walidgellad, et al developed and validated a #machinelearning algorithm to improve prediction of incident opioid use disorder diagnosis among Medicare beneficiaries with ≥1 opioid prescriptions. #opioids https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235981 https://t.co/LexHO7Nt1Z
@PfeiferLab 8 months ago
Today is the day to tune in to Jonas's @ml4science Spotlight Presentation on 'Extending Deep Kernel Approaches for Better Prediction and Understanding of ADME Phenotypes and Related Drug Response'. #ml4science2020 #MedicalInformatics #MachineLearning https://uni-tuebingen.de/en/research/core-research/cluster-of-excellence-machine-learning/events/events/#c1124370
@GloriusGroup 9 months ago
300 People waiting for the second session on #Molecular #MachineLearning – now we are highly excited to listen to Jürgen Bajorath from @UniBonn, talking about molecular activity prediction from a medicinal chemistry perspective! ⚕️🧪 https://t.co/B71Ngh8a4m
@LabSchultze 9 months ago
Our new preprint is out! Decentralized and privacy-protecting disease prediction using #swarmlearning, the way forward for collaborative precision medicine. Awesome collaboration with @HPE! #COVID19 #machinelearning #blockchain https://www.biorxiv.org/content/10.1101/2020.06.25.171009v1
@HumanBrainProj 11 months ago
Prof. Dr. Simon Eickhoff's work focuses on: ◦ Understanding brain organization ◦ #MachineLearning for individual prediction, #clinical translation & personalized #medicine All of which is highly relevant to the mission of the Human Brain Project. Follow him at @INM7_ISN https://t.co/vZe55zoiuU
@arunprasad_p 11 months ago
Please contribute to novel medical research led by Prof @Julian_Gough team at @MRC_LMB @UKRI_News into phenotype prediction from raw DNA files: https://supfam.mrc-lmb.cam.ac.uk/SUPERFAMILY/23andMe #medicalresearch #Prediction #Bioinformatics #Genomics #sequencing #dna #Health #COVIDー19 #DataScience https://t.co/H16B1nTiTQ
@INM7_ISN 1 year ago
What's your evidence? Here Bert Heinrichs, a philosopher, and I outline some thoughts on discursive practice, acceptance and responsibility in the context of #MachineLearning for medical diagnosis & prediction https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.24886 @KordingLab @DrHughHarvey @NewMindMirror https://t.co/zwcQdl5jLb
@engadget.com 1 year ago
Researchers develop an AI system with near-perfect seizure prediction
@ipfconline1 1 year ago
Explainable #AI for Science and Medicine [Video w/ Scott Lundberg] Understanding why a #machinelearning model makes a certain prediction is crucial https://buff.ly/2Lyufyc @MSFTResearch #AI #DeepLearning #AIEthics #HealthTech Cc @AkwyZ @AlaricAloor @Info_Data_Mgmt @AghiathChbib https://t.co/B30kH7SlYK
@ipfconline1 1 year ago
Explainable #AI for Science and Medicine [Video with Scott Lundberg] Understanding why a #machinelearning model makes a certain prediction is crucial https://buff.ly/2Lyufyc v/ @MSFTResearch #AI #DeepLearning #AIEthics #HealthTech Cc @DeepLearn007 @MiaD @SpirosMargaris @psb_dc
@techcrunch.com 1 year ago
MIT AI tool can predict breast cancer up to 5 years early, works equally well for white and black patients
@LauraBBalzer 2 years ago
Last ? from #DataScience 4 Public Health course- Who would you trust: a blackbox machine learning algorithm with 100% CV-prediction accuracy (AUROC=1) built with representative data OR a human medical provider (accuracy<100%; AUROC<1)? #epiTwitter #MachineLearning #SuperLearner
@jorsmo 2 years ago
Exciting new precision and genomic medicine #postdoc position open in our lab. Come join a fun, collaborative, and dynamic team at #MGH working on #PrecisionMedicine #BigData #psychiatric #genomics and #risk prediction! Added bonus: winter in Boston! Please RT https://t.co/VsXZVXL11l
@f2harrell 2 years ago
Confusing about classification vs. prediction abounds in #MachineLearning and medicine. See http://fharrell.com/post/classification. Simplest statement of appropriateness of classification: For all subjects there is an outcome category with a probability near 1.0 of occurring. https://t.co/pacSdd4Vtm
@f2harrell 3 years ago
For #machinelearning #Statistics #medicine: Clarification of my thinking about the role of classification vs. prediction in http://fharrell.com/post/classification https://t.co/kUKd8n2mB1
@DSMeu 3 years ago
#Supercomputers in medicine: they reduce the necessary time to develop new drugs, improve disease prediction based on #bigdata analysis or make diagnosis more accurate. Welcome to Hospital 2.0 http://bit.ly/2kJDVXQ #HPC #digitalhealth #HealthTech https://t.co/INnzYDE5MB
@techcrunch.com 4 years ago
Reshaping human health and changing lives through gene editing