Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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35: A 3-gram Sensor To Detect Sleep Apnoea With Laurent From Sunrise
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Manage episode 286538814 series 1946974
Innhold levert av Dr Vinay Shankar. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Dr Vinay Shankar eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Our guest today, Laurent Martinot, explains how Sunrise was founded to reduce the challenges associated with diagnosing sleep apnoea.. Inspired by their father, a physician with a special interest in sleep medicine, Laurent and his brother Pierre leveraged AI and other technologies to create a simple at-home test that generates a detailed clinical report without the need for expensive and onerous overnight observation. Topics Covered: Why Laurent and Pierre decided to focus on sleep apnoea: Up to 1 billion people worldwide are affected worldwide. 80% of sufferers go undiagnosed. AI and other tools were ripe for application. “I think many people complain about fatigue and there’s a very good chance that they are suffering from a silent disease that is hard to identify without clinical testing.” How the Sunrise process works: Patient completes a basic sleep questionnaire. Sensor is placed on the chin. Push start and let the sensor run for the night. The next morning a report is generated and available for diagnosis. “Making things as easy as possible was at the center of what we tried to develop.” Barriers that make patients resistant to sleep apnoea testing in a clinical setting: Fear of the hospital environment and overnight stay. Discomfort with all the sensors and equipment. Development challenges: Software’s evolution. Making the interface accessible even to those who aren’t digital natives. Scalability. “It looks simple from the outside, but inside there is a lot of science.” How sensor and AI combine to analyse sleep: Based on micro mandibular (jaw) movements. The number of micro-awakenings and breathing effort. The stages of sleep. The exact sleeping time. Pricing: Sunrise is a certified medical device. Reduces cost and inconvenience of clinical study. Device reusability. “We remain very busy validating the instruments in different environments.” Website:https://uk.sunrise-sleep.com/ Once Daily Article: https://oncedaily.co/an-at-home-sleep-apnoea-diagnostic-device/
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72 episoder
35: A 3-gram Sensor To Detect Sleep Apnoea With Laurent From Sunrise
15 Minutes With The Doctor: Learn from Healthcare Entrepreneurs and Innovators
MP3•Episoder hjem
Manage episode 286538814 series 1946974
Innhold levert av Dr Vinay Shankar. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Dr Vinay Shankar eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Our guest today, Laurent Martinot, explains how Sunrise was founded to reduce the challenges associated with diagnosing sleep apnoea.. Inspired by their father, a physician with a special interest in sleep medicine, Laurent and his brother Pierre leveraged AI and other technologies to create a simple at-home test that generates a detailed clinical report without the need for expensive and onerous overnight observation. Topics Covered: Why Laurent and Pierre decided to focus on sleep apnoea: Up to 1 billion people worldwide are affected worldwide. 80% of sufferers go undiagnosed. AI and other tools were ripe for application. “I think many people complain about fatigue and there’s a very good chance that they are suffering from a silent disease that is hard to identify without clinical testing.” How the Sunrise process works: Patient completes a basic sleep questionnaire. Sensor is placed on the chin. Push start and let the sensor run for the night. The next morning a report is generated and available for diagnosis. “Making things as easy as possible was at the center of what we tried to develop.” Barriers that make patients resistant to sleep apnoea testing in a clinical setting: Fear of the hospital environment and overnight stay. Discomfort with all the sensors and equipment. Development challenges: Software’s evolution. Making the interface accessible even to those who aren’t digital natives. Scalability. “It looks simple from the outside, but inside there is a lot of science.” How sensor and AI combine to analyse sleep: Based on micro mandibular (jaw) movements. The number of micro-awakenings and breathing effort. The stages of sleep. The exact sleeping time. Pricing: Sunrise is a certified medical device. Reduces cost and inconvenience of clinical study. Device reusability. “We remain very busy validating the instruments in different environments.” Website:https://uk.sunrise-sleep.com/ Once Daily Article: https://oncedaily.co/an-at-home-sleep-apnoea-diagnostic-device/
…
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72 episoder
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