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Young Innovators

Natalia Glazkova

Sense2beat
“Sense2beat” physiological signals from portable monitoring devices are often contaminated with a large amount of noise, making data interpretation extremely difficult. At the core of a Sense2beat Automated ECG Detection and Prediction AI tool, is set a unique proprietary method of disturbance filtering that does not necessitate any tentative assumptions and estimations of process dynamics. This approach has a great practical importance for the development of automated ECG waveform processing in the context of extremely noisy signal acquired by clinical wearable devices.

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Meet the Creators

2020

Unheeded Warnings Mitigating the Impact of Climate Change on Communicable Diseases

Jeremy Hess, Rachel Lowe, Muna Al Maslamani, Laura-Lee Boodram, Anna Stewart Ibarra, Judith Wasserheit

With the emergent threat of COVID-19, this report focuses on threatening diseases that are a by-product of climate change and what type of policy measures should be intact to deal with this head-on.