@ResearchGermany 1 year ago
Scientists at @TU_Muenchen have now developed a new method of using molecular data to extract subtypes of illnesses 🩺 Read more about their work here http://ow.ly/WtrQ50JkC4X #MachineLearning #Biomedicine #MedicalTech
@Michael_D_Moor 2 years ago
Preprint alert! Interested in #MachineLearning in #medicine and #sepsis? We developed and validated a #DeepLearning model for predicting sepsis across 5 ICU databases from 3 countries featuring 156k ICU stays and 783 patient years worth of monitoring data. A 🧵. 1/n https://t.co/4RL3UaXYIY
@nasmoutiphd 4 years ago
Google developed Coral: a portable neural network accelerator. It will make it possible to use models locally without the need for cloud. Sending data to the cloud is a security risk for sensitive data (eg medical records). #MachineLearning #DataScience https://www.theverge.com/platform/amp/2020/1/14/21065141/google-coral-ai-edge-computing-products-applications-cloud?fbclid=IwAR1xGpoS5u-6qqSKDTBCztUlz5Os8KbFVg3aVTdHEXM1nQmEzvkvubv5BmU
@SwissCognitive 4 years ago
#MachineLearning #HealthCare @penn_state developed a machine learning tool that analyzes data on drug-drug interactions and may be able to warn providers about potential negative side effects of medication combinations. Read more: http://ow.ly/5D6n30pJxHt cc.: @RoblemVR