@iam_sanjana06 1 year ago
Day 8 of #365DaysOfML Artificial neural networks are used in image recognition, speech recognition, machine translation, and medical diagnosis. #Datascience #MachineLearning #100DaysOfCode https://t.co/R6hWYdR2HK
@francyungaro 3 years ago
#Machinelearning, explained It's behind chatbots and #predictive text, language translation apps and how your #socialmedia feeds are presented. It powers #autonomous vehicles and machines that can diagnose medical conditions based on images. https://mitsloan.mit.edu/ideas-made-to-matter/machine-learning-explained https://t.co/ZVKG9EpcnS
@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
@emrobSci 3 years ago
Looking for a #postdoc position? Want to transform #MedicalImaging analysis to support clinical translation? We seek to develop new tools to improve the accuracy with which brain images are compared using #MachineLearning #DiscreteOptimisation https://tinyurl.com/yd3geovr Pls RT
@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 4 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
@rudyagovic 6 years ago
Computer Vision Feature Extraction 101 on Medical Images — Part 2: Identity, Translation, Scaling… #ComputerVision #MachineLearning #DataScience http://bit.ly/2v7drXC https://t.co/JAfbdSzoeU
@natarpr 6 years ago
Delighted to share: Dr. Prof. T. Miyahara of Kawasaki University of Medical Welfare is leading the translation of “Demystifying #BigData & #MachineLearning for #Healthcare” into Japanese. Arigatou gozaimasu (thank you) Miyahara-san - we are honored. @dianebleck @evankirstel https://t.co/PYInUICTyS
@toucharcade.com 7 years ago
'Plague Inc. Scenario Creator' Coming to Mobile
@theverge.com 8 years ago
Mutations that make bacteria resistant to antibiotics might also make them deadlier