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@Cancer_dynamics 1 year ago
Join @CUSEAS @ColumbiaPS @ColumbiaBME on Feb. 23 for the Engineering in Medicine Symposium! Sessions will showcase the fields of #SingleCell, #MachineLearning, Neuroscience of Decision-Making, Development + Aging, and #TissueEngineering. Register at http://bit.ly/7bmeim https://t.co/oGK0A89WEB
@Radiology_AI 1 year ago
"The aim of this article is to discuss data, data creation, and the potential financial stakeholders for the development of #AI in medicine" https://doi.org/10.1148/ryai.220054 @MayoFL_RadRes @ronnie_sebro @MayoRadiology #DataOwnership #ML #MachineLearning https://t.co/2DPMVyczPX
@Radiology_AI 1 year ago
Who are the potential financial stakeholders for the development of #AI in medicine? https://doi.org/10.1148/ryai.220054 @ronnie_sebro @MayoClinic #ML #MachineLearning https://t.co/3ftZwhQCU5
@ravi_b_parikh 2 years ago
Great to see @US_FDA Guiding Principles for #AI #MachineLearning device development in medicine released. We wrote about many of these in @ScienceMagazine 2 yrs ago: https://www.science.org/doi/abs/10.1126/science.aaw0029. Reporting Human-AI partnerships is gr8 idea in particular. https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-learning-practice-medical-device-development-guiding-principles https://t.co/jcX6YQl157
@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
@drmonalidesai 3 years ago
From a recent study -researchers created an ML framework to enable genomics insights on the binding of transcription factors, this may help speed up precision medicine & the development of novel treatments for diseases. #AI #MachineLearning #medtwitterAI https://www.psychologytoday.com/blog/the-future-brain/202101/new-ai-framework-may-accelerate-novel-therapeutics
@toyosirise 3 years ago
#AI advances in medicine. #Thread. 1. #DeepLearning algorithms have made advances in "Diagnosing Diseases" more correctly, cheaper and more accessible. 2. #MachineLearning has made the analytical processes involved in drug development more efficient & faster. https://twitter.com/toyosirise/status/1339264451971862529
@EETimes_EU 3 years ago
#Artificialintelligence has tremendous potential in medicine in terms of #disease transmission prediction and #drug development. This article tells you how #AI propels #medicine development. #medtech #medicalimaging #BigData #MachineLearning #diagnostics https://www.eetimes.eu/how-ai-propels-medicine-development/
@nikos_trasan 3 years ago
#EHA25Virtual In cased you missed them, two great talks @young_eha session in Digital Medicine. How #AI has come to transform the clinical practice, accelerate drug development and drive novelty in clinical trials. #AI #machinelearning https://eha.conference2web.com/#!contentsessions/47524 @EHA_Hematology https://t.co/MpGM0YvS9F
@KirkDBorne 3 years ago
Speeding up drug development with #Artificialintelligence: https://dy.si/hXknH ...National Academy of Medicine: “medical education will need a substantial overhaul.” ————— #BigData #DataScience #AI #MachineLearning #HealthTech #MedTech #MedEd #DrugDiscovery #ClinicalAnalytics https://t.co/BUGqJLmJrj
@curtlanglotz 5 years ago
For those interested in applications of AI/machine learning (ML) to precision medicine, drug development and regulatory science, check out the new @StanfordMed @UCSF @fdacder #machinelearning fellowship. cc @Radiology_AI #RSNA18 https://www.zintellect.com/Opportunity/Details/FDA-CDER-2019-0355