The Department of Technology Partners (DTP) at Mount Sinai hosts a Big Data and AI Forum periodically. The latest event took place on May 9th, 2023 and covered a host of new machine learning projects, including: Hospital Acquired Pressure Injury Risk Predictions...
Avoiding patient harm is intrinsic to the work of healthcare professionals. Hippocrates (ca.460–377 BCE), known as the Father of Modern Medicine, helped set this precedent when he said, “The physician must…have two special objects in view with regard to disease,...
This is an interesting new open source project, designed to clear one particular form of technical debt in backend systems: pipeline debt. It uses automated pipeline testing that is applied to data (rather than code) at batch time (rather than at compile or deploy...
Because putting together a streaming, real-time, machine-learning, predictive analytics infrastructure is the easy part. https://hbr.org/2017/06/getting-buy-in-for-predictive-analytics-in-health-care
Interesting article related to 7 promising applications in healthcare on techemergence.com – https://www.techemergence.com/machine-learning-in-pharma-medicine/ 1. Disease Identification/Diagnosis Examples: Cancer identification and treatment Dosage trials for...
JAMIA has published a special issue on Biomedical Data Science. Several interesting articles about how these two fields are intersecting/overlapping, including this editorial from the editor in chief Dr. Lucila Ohno-Machado.
