🫁 The world's first open-source ventilator tested on human patients. Mass-producible at a low cost (~2000€).
Machine Learning for Patient Risk Stratification for Acute Respiratory Distress Syndrome (Zeiberg & Prahlad et al.), PLOS ONE, March 2019. https://doi.org/10.1371/journal.pone.0214465
A PyTorch Wrapper of Hierarchical Attention Network with Sentence Objectives Framework for ARDS Identification
Machine learning-based forecast of Helmet-CPAP therapy failure in Acute Respiratory Distress Syndrome patients
🏥 AEGIS — Hospital Safety Operating System. 10 evidence-based clinical modules (VTE, Sepsis, Falls, Braden, WHO Surgery Checklist, Partograph, ARDS, Cancer Staging, Pain Ladder, Outbreak). Open source, MIT licensed, deployable in 30 seconds. Built to save lives.
Site-aware temporal EHR validation for ARDS/AHRF using MIMIC-IV and eICU
Machine Learning to predict ARDS from Chest X-Ray images and Medical Data
Machine learning-based forecast of Helmet-CPAP therapy failure in Acute Respiratory Distress Syndrome patients
Analysis of host regulatory networks that could be impacted upon infection with the Covid-19 virus
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