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Diagnostics (Basel, Switzerland)|June 28, 2023
Developing an Artificial Intelligence-Based Representation of a Virtual Patient Model for Real-Time Diagnosis of Acute Respiratory Distress SyndromeChadi S Barakat, Konstantin Sharafutdinov, Josefine Busch, et al.
Critical Care Explorations|September 28, 2020
In Silico Modeling of Coronavirus Disease 2019 Acute Respiratory Distress Syndrome: Pathophysiologic Insights and Potential Management ImplicationsAnup Das, Sina Saffaran, Marc Chikhani, et al.
Respiratory Research|April 27, 2022
Validation of at-the-bedside formulae for estimating ventilator driving pressure during airway pressure release ventilation using computer simulationSonal Mistry, Anup Das, Sina Saffaran, et al.
British Journal of Anaesthesia|April 12, 2022
Optimising respiratory support for early COVID-19 pneumonia: a computational modelling studyLiam Weaver, Anup Das, Sina Saffaran, et al.
Annals of Intensive Care|July 13, 2021
High risk of patient self-inflicted lung injury in COVID-19 with frequently encountered spontaneous breathing patterns: a computational modelling studyLiam Weaver, Anup Das, Sina Saffaran, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 9, 2022
A computational cardiopulmonary physiology simulator accurately predicts individual patient responses to changes in mechanical ventilator settingsSonal Mistry, Bindi S Brook, Sina Saffaran, et al.
Respiratory Research|January 9, 2025
Airway pressures generated by high flow nasal cannula in patients with acute hypoxemic respiratory failure: a computational studyHossein Shamohammadi, Liam Weaver, Sina Saffaran, et al.
Critical Care Medicine|August 15, 2024
Digital Twins of Acute Hypoxemic Respiratory Failure Patients Suggest a Mechanistic Basis for Success and Failure of Noninvasive VentilationLiam Weaver, Hossein Shamohammadi, Sina Saffaran, et al.
IEEE Open Journal of Engineering in Medicine and Biology|August 26, 2024
Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU DatasetsKonstantin Sharafutdinov, Sebastian Johannes Fritsch, Mina Iravani, et al.
Critical Care (London, England)|March 7, 2025
Machine learning models compared with current clinical indices to predict the outcome of high flow nasal cannula therapy in acute hypoxemic respiratory failureHang Yu, Sina Saffaran, Roberto Tonelli, et al.
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