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Conteúdo fornecido por David Langton, Nick Earle, and CEO Eseye. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por David Langton, Nick Earle, and CEO Eseye ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
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Reinventing Healthcare with IoT, AI and ML

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Manage episode 347217814 series 3394170
Conteúdo fornecido por David Langton, Nick Earle, and CEO Eseye. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por David Langton, Nick Earle, and CEO Eseye ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

What if there was a way to change the trajectory of human health? Our era is marked by the proliferation of inexpensive, but high quality IoT sensors that enable advanced early disease detection. A way to measure human physiology in a continuous manner.

That’s exactly what data sciences company Biofourmis is doing. CTO, Milan Shah explains how the combination of IoT, artificial intelligence, and machine learning is enabling clinicians to interpret patient’s biometric data and identify earlier warnings than ever before. This allows clinicians to intervene earlier, improve patients' quality of life, and provide them with better outcomes.

Join us as we discuss:

· How Biofourmis is identifying physiological deterioration using ML and AI algorithms

· The types of medical-grade IoT sensors in the market today

· The power and potential of biomarkers

· How the COVID-19 outbreak was managed in Singapore with Biofourmis’ solution

· Why personalised predictive healthcare is the future

Show Links

· Check out Biofourmis

· Follow Milah Shah on LinkedIn

· Connect with Eseye on LinkedIn or Twitter



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

48 episódios

Artwork
iconCompartilhar
 
Manage episode 347217814 series 3394170
Conteúdo fornecido por David Langton, Nick Earle, and CEO Eseye. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por David Langton, Nick Earle, and CEO Eseye ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

What if there was a way to change the trajectory of human health? Our era is marked by the proliferation of inexpensive, but high quality IoT sensors that enable advanced early disease detection. A way to measure human physiology in a continuous manner.

That’s exactly what data sciences company Biofourmis is doing. CTO, Milan Shah explains how the combination of IoT, artificial intelligence, and machine learning is enabling clinicians to interpret patient’s biometric data and identify earlier warnings than ever before. This allows clinicians to intervene earlier, improve patients' quality of life, and provide them with better outcomes.

Join us as we discuss:

· How Biofourmis is identifying physiological deterioration using ML and AI algorithms

· The types of medical-grade IoT sensors in the market today

· The power and potential of biomarkers

· How the COVID-19 outbreak was managed in Singapore with Biofourmis’ solution

· Why personalised predictive healthcare is the future

Show Links

· Check out Biofourmis

· Follow Milah Shah on LinkedIn

· Connect with Eseye on LinkedIn or Twitter



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

48 episódios

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