"SIB's #DataScience expertise is key to the digital transformation in #biology and #medicine” – meet @cdessimoz, new Joint Executive Director of the SIB Swiss Institute of #Bioinformatics: https://tinyurl.com/yfr8u9b2 https://t.co/lHYQGXDxHJ
Six Key Applications of #DataScience in #Healthcare 1. #Datadriven clinical decision making 2. Medical imaging 3. #Genomics and genetics 4. Drug discovery 5. Remote patient monitoring 6. Disease tracking and prevention https://bit.ly/3CJnobp #ArtificialIntelligence
Great Read! Recent Research Reveals Errors Within Key #AI Data Sets = Bias & issues w/ decision making by self-driving cars & medical algorithms Link: https://www.wired.com/story/foundations-ai-riddled-errors/ @willknight @cgnorthcutt @aleks_madry @vinayprabhu @Abebab #DataScience #100daysofcode #MedTwitterAI https://t.co/eeWnSppXD9
5 key principles that should be remembered for smart use of #ArtificialIntelligence as adoption of #MachineLearning systems becomes more widespread in medical imaging: ➡️knowledge base ➡️metrics ➡️bias ➡️model fragility ➡️error-prone behavior #DataScience https://rdcu.be/cdI0d https://t.co/OvNVtwfl94
I'm hiring! Looking for a Sr Data Scientist w/a background in public health and/or health economics. They'll help define our data sci. strategy/carry out key early projects in our rapidly growing Medical and Commercial functions! #mRNA #DataScience https://modernatx.wd1.myworkdayjobs.com/en-US/M_tx/job/200-Technology-Square---Cambridge---USA---MA/Sr-Data-Scientist--Data-Science-and-Artificial-Intelligence_R2824
My infographic from today masterclass in #DataScience at @ESICM #LIVES2019 summarizing the key concepts so you can start familiarizing with this field that is rapidly becoming widespread in #CriticalCare medicine and in the literature #FOAMcc #FOAMed https://t.co/3u0wouK8mR
