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Oct 2021 → Oct 2023 Project
Ongoing

RuralUS: Ultrasound adapted to resource limited settings

Partner: ICRC, CHUV
Partner contact: Mary-Anne Hartley
EPFL laboratory: Machine Learning and Optimization Laboratory (MLO), intelligent Global Health Research group
EPFL contact: Mary-Anne Hartley

Point-of-Care Ultrasound (PoCUS) is a powerfully versatile and virtually consumable-free clinical tool for the diagnosis and management of a range of diseases. While the promise of this tool in resource-limited settings may seem obvious, it’s implementation is limited by inter-user bias, requiring specific training and standardisation.This makes PoCUS a good candidate for computer-aided interpretation support. Our study proposes the development of a PoCUS training program adapted to resource limited settings and the particular needs of the ICRC.

TopicsMachine LearningHealth

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Jan 2021 → Dec 2022 Project
Ongoing

What If....? Pandemic Policy Decision Support System

Partner: Swiss RE
Partner contact: Mary-Anne Hartley
EPFL laboratory: Machine Learning and Optimization Laboratory (MLO), intelligent Global Health Research group
EPFL contact: Mary-Anne Hartley, Prof. Martin Jaggi, Prakhar Gupta, Giorgio Mannarini, Francesco Posa

After 18 months of responding to the COVID-19 pandemic, there is still no agreement on the optimal combination of mitigation strategies. The efficacy and collateral damage of pandemic policies are dependent on constantly evolving viral epidemiology as well as the volatile distribution of socioeconomic and cultural factors. This study proposes a data-driven approach to quantify the efficacy of the type, duration, and stringency of COVID-19 mitigation policies in terms of transmission control and economic loss, personalised to individual countries.

TopicsMachine LearningHealthGovernment & Humanitarian

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