A flexible symbolic regression method for constructing interpretable clinical prediction models - Nature Digital Medicine https://www.nature.com/articles/s41746-023-00833-8 #machinelearning #bioinformatics #geneticprogramming #symbolicregression
Super glad to give a lecture @cornell_tech on using #MachineLearning and #EHR #RWD data to understand #LongCovid, covering our latest Nature Communication and Nature Medicine papers https://t.co/6K9CsXPBal
Results published recently in Nature Medicine demonstrate that federated learning builds powerful AI models that generalize across healthcare institutions. #DataScience #FederatedLearning #Healthcare https://hubs.li/H0XF-170
Kudos to the Michael J Fox Foundation on their support of the Digital Biomarker DREAM Challenge whose results just appeared in Nature Digital Medicine https://lnkd.in/d5HPCiS. A great example of how #machinelearning can help patients with #parkinsonsdisease ... https://t.co/FIKNqEU4VO
Congratulations to Dr Adans-Dester and team on the newly published Nature Digital Medicine manuscript https://lnkd.in/dxmbWsH showing how #wearables and #MachineLearning are enabling #PrecisionMedicine rehabilitation in stroke and traumatic brain injury survivors. https://t.co/ouhX5bGbKR
15 ways Silicon Valley is harnessing Big Data for health | Nature Medicine #bigdata #digitalhealth #healthIT #AI #eHealth https://www.nature.com/articles/s41591-019-0708-8
Validity of machine learning in biology and medicine increased through collaborations across fields of expertise | Nature Machine Intelligence https://www.nature.com/articles/s42256-019-0139-8 #MachineLearning #biomedicine https://t.co/1pqkpmIvMy
Guidelines for reinforcement learning in healthcare - Nature Medicine https://www.nature.com/articles/s41591-018-0310-5 #machinelearning #datascience #informatics #ESEHDWorkshop
