A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...
| Build smarter healthcare apps, faster. See how clinical data repositories help developers unlock clinical data and drive ...
Electronic health record (EHR) adoption was driven, in part, by a recognition of the power of data. Given the complexities of healthcare ...
A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
Today's GPS smartwatches and other wearable devices give millions of runners reams of data about their pace, location, heart ...
2don MSN
Machine learning workflow enables faster, more reliable organic crystal structure prediction
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
10don MSN
Geophysical-machine learning tool developed for continuous subsurface geomaterials characterization
Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...
This article is published by AllBusiness.com, a partner of TIME. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on enabling computers to learn from data and improve ...
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