@AI4Pathology 2 years ago
Our new @natBME short paper demonstrates utility and identifies key challenges associated with using #synthetic data in #MachineLearning and #AI for medicine. Read link: https://rdcu.be/cmAfk Journal link: https://go.nature.com/3wtgSDr @richarizardd95 https://t.co/igwJTa8EZj
@Cambridge_Uni 3 years ago
The pandemic has presented huge challenges for #clinicaltrials, but #machinelearning techniques could help improve them, both during the pandemic and beyond. New research from the Cambridge Centre for AI in Medicine @CC4AIM: https://bit.ly/3hX7gIT @MihaelaVDS #COVID19
@slashgear.com 4 years ago
Researchers create molecular drills to destroy superbugs
@EffyVayena 5 years ago
Check out new papers on #MachineLearning in #medicine and #healthcare including ⁦our perspective with ⁦@CohenProf⁩ @a_blasimme “Machine learning in medicine: Addressing ethical challenges” ⁦@PLOSMedicine⁩ ⁦@ETH_en⁩ ⁦⁦ #aiethics https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002689