Medical Technology

@m2bio 10 months ago

#HappyYouthDay South Africa🤗Looking forward to another spectacular day. Great to see some new shareholders joining the M2Bio journey. PR today. Go $MRES #drugdiscovery #artificialintelligence #machinelearning #ScienceInAction #medicine #health #stocks #investing https://t.co/vGCNgGlUbl

@raqini 11 months ago

Today 24th May's a day for #ethicsAI in medicine at King's I'm giving: 3-4 pm: Online talk (link to join below! ‍4-6 pm: In person demo at Bush House London, opening the King's Festival of #ArtificialIntelligence #ai #MachineLearning @KCLBHI @NIHRMaudsleyBRC @aiatkings https://twitter.com/NIHRMaudsleyBRC/status/1660645304222330885

@milos_agathon 1 year ago

Today is World Health Day so I mapped how much money people spend per capita on medical goods & services in 2019 🇺🇸USA 10921 US$ 🇨🇭Switzerland 9666 🇳🇴Norway 8007 🇮🇸Iceland 6274 🇱🇺Luxembourg 6220 #WorldHealthDay #healthday #health #RStats #DataScience #dataviz #maps #geospatial https://t.co/NIJElBYOdh

@gilienv 2 years ago

Opening Session of the Asia-Pacific @APBioNetorg #BWF2022 #Student #Workshop on #Artificial #Intelligence driven #Bioinformatics. Starting today, we teach #Statistics & #machinelearning approaches on using existing data/information 2predict future outcomes Day1: #AI in #Medicine https://t.co/8O07ekm7lN

@slashgear.com 2 years ago

Study finds firefighters at the World Trade Center are more likely to develop cancer

@UMDBIOE 3 years ago

Prof. Shawn He & his lab are using #machinelearning & smartphone technology to advance cell-based medicine. The group's work – published today in Small – could one day enhance treatment options for diseases like #diabetes & #infertility. https://bioe.umd.edu/news/story/he-lab-taps-machine-learning-to-improve-cellbased-medicine @AdvSciNews https://t.co/ruPgZMs9Gx

@technologyreview.com 3 years ago

What’s next for Trump? Ten days of isolation or the campaign trail?

@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