@bhavani_md 2 years ago
#NIH K23 funded @EmoryDeptofMed Thanks to Craig Coopersmith @ECCC May Wang @MLatGT Matt Churpek @UW_ICU_DataSci @DrPhilipVerhoef & countless others @UChicagoPCCM @EmoryPCCM Excited to work on identifying precision medicine approaches to #sepsis using #MachineLearning @nigms https://t.co/WMsqsDOUi5
@IQVIA_global 2 years ago
#Genomics and #machinelearning will be crucial in identifying and analyzing health data in the coming years, creating the building blocks of precision medicine. Join us in our upcoming webinar to learn about the use of genomics in drug development: https://bit.ly/38UHO4A https://t.co/pWT1LyxNXa
@mobilesyrup.com 3 years ago
Intel, Penn Medicine to co-develop AI tool for identifying brain tumours
@extremetech.com 4 years ago
Google AI Is Better At Identifying Breast Cancer Than Human Doctors
@EPFL_en 4 years ago
EPFL researchers have developed #BigData tools for identifying new gene functions. The work identifies millions of connections between genes and their functions, and can facilitate the development of precision medicine. #epflSV @epflSV https://actu.epfl.ch/news/big-data-toolkit-to-mine-the-dark-genome-for-preci/
@SwissCognitive 4 years ago
“#MachineLearning is particularly good at identifying patterns, which is deeply relevant to assessing patient risk. Risk scores are useful for communicating patient state, which is valuable in making efficient care decisions.” http://ow.ly/bAfz30px9lg #Healthcare #Medicine #AI
@taavola 4 years ago
Here at #ICPE2019 @TomasBergvall is giving a very interesting talk on a data-driven method for identifying the indication for treatment in Electronic Medical Records. #DataScience #PatientSafety #Pharmacovigilance @UMCGlobalSafety https://t.co/twRKAPgmte