Researchers at the University of Pittsburgh School of Medicine have combined #syntheticbiology with a #machinelearning algorithm to create human liver organoids with blood- and bile-handling systems. https://bit.ly/36SDl2h #synbio
We are inviting papers exploring ways to reduce #MachineLearning bias in healthcare or create algorithms that specifically alleviate inequalities. Publish your research in the British Medical Journal Health and Care Informatics. #FairnessMedicalML https://twitter.com/MITCriticalData/status/1323337994519064578
The paper describing one of our biggest datasets so far is now published: https://www.nature.com/articles/s41597-020-00622-y Hopefully it will inspire people to create reproducible and shareable research in #AI and #Medicine Blogpost: https://researchdata.springernature.com/posts/hyperkvasir-data-to-enable-ai-for-automated-gi-disease-detection #GI #MachineLearning
This recent post explores what we can learn from studying how #AI is used to create content in areas such as books, business and legal, medicine, song writing and visual arts. #EdLeaders #Teachers #Students #MachineLearning https://bit.ly/3gbmHwK
Nvidia uses federated learning to create medical imaging AI #MachineLearning #ML #ArtificialIntelligence #DataScience http://bit.ly/2VHj8oM https://t.co/WIPxgEIjY4