@CAMDA_conf 11 months ago
Join leading researchers at #CAMDA'23! Top keynotes by Karsten Borgwardt on predicting medical complications by #MachineLearning & Edward Feil on antimicrobial resistance! Submit your best by 18 May http://camda.info @maxplanckpress @kmborgwardt @EpicFeil_ #AMR #OneHealth https://t.co/7rpS7jK4BH
@ResearchpodHQ 1 year ago
Dr. Susan Mertins, is exploring how ordinary differential equations and #machinelearning can be applied to #cancer data for biomarker discovery and drug development, leading to improvements in personalised #medicine. Listen now: https://www.buzzsprout.com/582022/11871011-computational-biology-how-mathematical-modelling-can-help-cure-cancer
@JerryQu2 4 years ago
For the #MachineLearning community out there. The White House and a coalition of leading research groups, released 10 tasks on Kaggle 4 days ago to help generate insights for the medical community. I'll be dedicating time to this! https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge
@MsAliAnderson 4 years ago
Last night’s live-streamed ‘Research Tuesdays’ event for the @UniofAdelaide - Machine Learning and Health, fantastic discussion with leading experts @AntonvdH @_HealthyCities_ @johanverjans @TheAIML #AI #MachineLearning #Medical #Health https://t.co/90zbopbvw7
@IainLJBrown 5 years ago
Paradigm4 Launches Precision Medicine Platform for UK Biobank Data And Announces Industry-leading Adopters - Associated Press Read more here: https://ift.tt/2RnxiZC #DataScience #MachineLearning #DeepLearning #NLP #Robots #AI #IoT #BigData
@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