@geekwire.com 4 months ago
Seattle Hub for Synthetic Biology plans to transform cells into tiny recording devices
@cnet.com 1 year ago
Is Affordable Health Care Impossible? How Patients Find Ways to Lower Costs - CNET
@cnet.com 1 year ago
Health Care Shouldn't Be This Expensive: How to Find Answers and Low-Cost Options - CNET
@cnet.com 1 year ago
Health Care Is Too Expensive: How Patients Advocate for Themselves to Lower Costs - CNET
@Unibocconi 2 years ago
Understanding uncertainty in #MachineLearning algorithms - @BotondSzabo6 obtained @ERC_Research starting grant to assess methods used when dealing with large quantities of complex data, as in medical imaging, autonomous cars, or in dating the Big Bang… https://www.knowledge.unibocconi.eu/notizia.php?idArt=23900
@nadaloglou 2 years ago
Understanding coordinate systems and #DICOM for #deeplearning #medical image analysis Link: https://theaisummer.com/medical-image-coordinates/ #MachineLearning #ai #ct #mri @dcmsys @theaisummer #3d
@zdnet.com 3 years ago
Smart pills and the future of medicine: Insights from your insides
@FJCarmonas 3 years ago
Greg Hager at #sail20: "#AI has the potential to enable a more holistic and longitudinal approach to #healthcare – rather than treat patients when disease kicks, focus on #wellness preservation through understanding the broader context of the patient" #MachineLearning #medicine https://t.co/2cxQmgjoJd
@PfeiferLab 3 years 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
@HumanBrainProj 3 years ago
Do you want to learn about: ◦ Understanding brain organization? ◦ #MachineLearning for individual #prediction, #clinical translation & personalized #medicine? Then follow HBP Scientist Prof. Dr. Simon Eickhoff at @INM7_ISN! https://t.co/eNHn1WKe72
@HumanBrainProj 3 years 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
@EdKwedar 3 years ago
Understanding Adversarial Attacks on #MachineLearning Based Medical Image Analysis Systems #BigData #Analytics #DataScience #AI #IoT #IIoT #PyTorch #Python #RStats #JavaScript #ReactJS #Serverless #Linux #Programming #Coding #HealthTech via @gp_pulipaka | https://buff.ly/2VUFXr0 https://t.co/NjlFgVxF3U
@gp_pulipaka 3 years ago
Understanding Adversarial Attacks on #MachineLearning Based Medical Image Analysis Systems. #BigData #Analytics #DataScience #AI #IoT #IIoT #PyTorch #Python #RStats #JavaScript #ReactJS #Serverless #Linux #Programming #Coding #100DaysofCode #HealthTech https://www.sciencedirect.com/science/article/abs/pii/S0031320320301357 https://t.co/37pfxWe3b3
A healthy understanding
@Omkar_Raii 4 years ago
#AI & #DataScience are playing an enormous role by enabling medical scientists & researchers accelerate their understanding about the nuances of #COVID19 & helping them to diagnose patients faster & strengthen research & innovation to manufacture vaccines.https://www.forbes.com/sites/victoriacollins/2020/04/08/how-ai-and-data-science-are-helping-to-understand-and-tackle-covid-19/#3513915f7c84
@slashgear.com 4 years ago
Coronavirus tests: Understanding PCR, antigen and antibody
@UCSC_BSOE 4 years ago
"#MachineLearning is revolutionizing our understanding of the human brain." Read how @ucsc engineer Narges Norouzi creates algorithms to improve medical outcomes for patients in our Good Engineering series: http://bit.ly/GENarges #womeninSTEM #WomenInTech https://t.co/G4eFzg0Aoh
@arXiv_Daily 4 years ago
Understanding Deep Neural Network Predictions for Medical Imaging Applications https://deepai.org/publication/understanding-deep-neural-network-predictions-for-medical-imaging-applications by Barath Narayanan Narayanan et al. #MachineLearning #NeuralNetwork
@fferrazalmeida 4 years ago
Sorry to disappoint my quanti colleagues but #BigData cannot tell us everything about X. How can someone say things about police interviews (or medical consultations, courtroom trials, etc.) in general without understanding what happens in any of them? #EMCA #AcademicTwitter
@rudyagovic 4 years ago
Understanding Transfer Learning for Medical Imaging #ArtificialIntelligence #AI #MachineLearning #DataScience http://bit.ly/2RKcazo https://t.co/7Rmq0qVvBl
@SwissCognitive 4 years ago
The #ArtificialIntelligence-powered model may help improve treatment and understanding of #Crohn’s disease. #MachineLearning #MedicalResearch #PersonalizedMedicine http://ow.ly/kPxa30pZlqC
@engadget.com 4 years ago
Apple debuts Research app with new iPhone and Watch health studies
@KirkDBorne 4 years ago
Understanding #MachineLearning and #DeepLearning in Medicine: https://dy.si/BnrGb —————— #BigData #ReinforcementLearning #AI #DataScience #NeuralNetworks #HealthTech #HealthIT #EmergingTechnologies —————— ➕See the book "Deep Medicine": https://amzn.to/2DCbapl https://t.co/BZcdcSc8vA
@ipfconline1 4 years 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
@KirkDBorne 4 years ago
Understanding #MachineLearning and #DeepLearning in Medicine: https://dy.si/BnrGb —————— #BigData #ReinforcementLearning #AI #DataScience #HealthTech #HealthIT #EmergingTechnologies —————— ➕See the book "Deep Medicine": https://amzn.to/2DCbapl https://t.co/SPN9gY19pQ