Revolutionizing Interaction Discovery in Machine Learning
In the vast landscape of machine learning, a groundbreaking study by Chen, Jiang, and Noble sheds light on the intricate...
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Screening autism spectrum disorder in children using machine learning on speech transcripts
Predictive performanceTo evaluate our models, we applied 5-fold stratified cross-validation on two datasets from ASD TalkBank. The Nadig dataset had...
Combining RWD And Machine Learning To Determine Meaningful Patient Populations
By Monica Nandagopal, senior analyst, Beroe Inc. Clinical trials play a crucial role in driving medical innovation but frequently encounter...
Machine Learning Enables 96% Accurate Single-Pixel Detection Of Structured Light With Speckle-Learned Recognition
Structured light, with its unique spatial properties, holds immense promise for advancements in communications, precision measurement, and sensing technologies. Purnesh...
A machine learning approach to identify patients at risk for long-term consequences after pulmonary embolism
Clinical Division of Haematology and Haemostaseology, Department of Medicine I, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, AustriaStephan...
Engineering Supply Chain Resilience: Jaymalya Deb on Machine Learning and Forecasting Innovation
Jaymalya (“Jay”) Deb is currently the Division Materials Manager in the Industrial Process Filtration Division at Parker Hannifin, a Fortune...
