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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34: Tech-enhanced Skin & Mole Tracking with Jon Friis from Miiskin
Manage episode 282328364 series 1946974
コンテンツは Dr Vinay Shankar によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Dr Vinay Shankar またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作権で保護された作品をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
Our guest on this episode is Jon, co-founder of Miiskin, an app that helps the user monitor their skin for signs of cancer. Dubbed a ‘mole-mapping’ app, Miiskin empowers users and helps them become proactive in their skin care. Learn about the app’s simple beginnings and story, their path to using augmented reality and AI for automatic skin imaging, and the importance of privacy. Topics Covered in this Episode: How Miiskin’s technology works The founders personal story. Basic and premium version. “The back is always difficult to keep an eye on.” The platform Initially a minimally viable product, Miiskin turned into something much more technologically advanced. “We have gone from a photolog...to very sophisticated imaging tech.” Machine learning and artificial intelligence The AI supports taking unstructured images of skin and making sense of them. AI can augment the patient’s own understanding of their skin. The data can develop a kind of “filter” to track skin developments. The goal is for patients to come into the doctor’s office with more information. “What you can use machine learning for is structuring the information.” The logic behind the pricing model. $24.95 for a yearly subscription. The cost needs to be low enough to avoid it being a barrier but able to sustain the app long-term. Privacy and security for users and patients All data on the phone and servers is encrypted. Photos are not part of the phone photo library. A premium feature allows users to login and access their photos—even with a different device or if they lose it. Challenges working in the healthcare space Hurdles to overcome in the healthcare space to establish ethos. Language barriers in app that is listed worldwide. Proving the app through hospital or patient-based research. “A lot of people trust the medical validity of a lot of apps on NHS app library.” More information: Mobile app tracks mole changes through photos www.miiskin.com
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61 つのエピソード
34: Tech-enhanced Skin & Mole Tracking with Jon Friis from Miiskin
15 Minutes With The Doctor: Learn from Healthcare Entrepreneurs and Innovators
Manage episode 282328364 series 1946974
コンテンツは Dr Vinay Shankar によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Dr Vinay Shankar またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作権で保護された作品をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
Our guest on this episode is Jon, co-founder of Miiskin, an app that helps the user monitor their skin for signs of cancer. Dubbed a ‘mole-mapping’ app, Miiskin empowers users and helps them become proactive in their skin care. Learn about the app’s simple beginnings and story, their path to using augmented reality and AI for automatic skin imaging, and the importance of privacy. Topics Covered in this Episode: How Miiskin’s technology works The founders personal story. Basic and premium version. “The back is always difficult to keep an eye on.” The platform Initially a minimally viable product, Miiskin turned into something much more technologically advanced. “We have gone from a photolog...to very sophisticated imaging tech.” Machine learning and artificial intelligence The AI supports taking unstructured images of skin and making sense of them. AI can augment the patient’s own understanding of their skin. The data can develop a kind of “filter” to track skin developments. The goal is for patients to come into the doctor’s office with more information. “What you can use machine learning for is structuring the information.” The logic behind the pricing model. $24.95 for a yearly subscription. The cost needs to be low enough to avoid it being a barrier but able to sustain the app long-term. Privacy and security for users and patients All data on the phone and servers is encrypted. Photos are not part of the phone photo library. A premium feature allows users to login and access their photos—even with a different device or if they lose it. Challenges working in the healthcare space Hurdles to overcome in the healthcare space to establish ethos. Language barriers in app that is listed worldwide. Proving the app through hospital or patient-based research. “A lot of people trust the medical validity of a lot of apps on NHS app library.” More information: Mobile app tracks mole changes through photos www.miiskin.com
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61 つのエピソード
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