machine learning
The study also found that applying a federated learning approach can further improve accuracy of the model.
Also: PainChek's app picks up European and Australian regulatory clearances; Digital health access as a social determinant of health.
This Series C comes less than a year after the startup closed its $200 million Series B in 2020.
The solution uses AI and machine learning to improve adherence.
The new wellness features use machine learning to observe subtle changes in chest movement or blood coloration, and are slated to drop for Pixel device users in the next month.
Researchers say that their tool detected cases with 79% accuracy, and did so within minutes.
The yet-to-be-named programme reportedly “leverages machine learning to optimise a clinical trial’s chances of success” through the analysis of factors such as patient population recruitment and dropout rate.
Dascena's COViage system uses demographic and vital-sign data pulled from a COVID-19 patients' EHR to calculate their risk of hemodynamic instability or respiratory failure.
Dr. Liz Kwo breaks down the data and technology-enabled healthcare tools being adopted by next-generation payers and providers.
Researchers used causal machine learning approach to increase algorithm’s accuracy.