🫁 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
Machine learning-based forecast of Helmet-CPAP therapy failure in Acute Respiratory Distress Syndrome patients
A PyTorch Wrapper of Hierarchical Attention Network with Sentence Objectives Framework for ARDS Identification
Machine Learning to predict ARDS from Chest X-Ray images and Medical Data
Analysis of host regulatory networks that could be impacted upon infection with the Covid-19 virus
A structured clinical reasoning portfolio for medical school preparation, documenting progressive ICU case analysis across hemodynamics, shock management, ventilation strategies, neurocritical care, and trauma. All cases are hypothetical and used for premedical academic development.
Machine learning-based forecast of Helmet-CPAP therapy failure in Acute Respiratory Distress Syndrome patients
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