Healthcare Weekly: At the Forefront of Healthcare Innovation

Today Codrin is joined by Raoul Sherwitzl, the co-founder of Natural Cycles, a mobile app for contraception and fertility monitoring. Raoul and his wife developed the concept together while researching non-hormonal, non-invasive alternatives to the traditional birth control they were used to. Unsatisfied with their options, they set about developing an app that would predict ovulation using only data input from the user. Natural Cycles uses daily body temperature readings to assess whether a woman is at risk of pregnancy on a particular day. As an entirely non-invasive option, Natural Cycles also offers the unique benefit of having zero risk of side effects. Raoul lets us in on his plans for the future of this software and the technology associated with it. He intends on making the app more accessible and furthering the technology to create a better user experience. Ultimately, he would like to expand the services offered by Natural Cycles, creating and accessible and easy-to-use software that supports women’s health overall. Listen to the podcast to learn about: • The science behind how Natural Cycles accurately predicts ovulation. • How Natural Cycles has changed fertility monitoring for its users. • Benefits of using an app as opposed to traditional methods of birth control. • How algorithm-based technology could change the future of health care. • The challenge of creating a product for which there are no existing regulations in place. • How the accessibility of birth control ties into greater issues, such as climate change. • The importance of transparency when marketing healthcare products. • Raoul’s immediate plans for updates to Natural Cycles.

Julie Charlestein is welcomed by Codrin in this episode. She is the President and CEO of Premier Dental Products, a company that develops, manufactures, and distributes innovative solutions for dentists around the world. There are many technological advances currently available to dentists, but Julie explains that the adoption of these has brought mixed results. We hear Julie’s thought on gender representation in her industry as well as the history of her business. It was founded by her family, but she first gained her insights by observing the company from the outside. Premier Dental Products leverages a large amount of customer data to optimize their products. Julie gives us some insights to this process, including how new product needs can be identified. Listen to the podcast to learn about: • How dentist offices are like mini tech centers. • Trends being seen right now in the dental space. • Traxodent, a flagship product offered by Premier Dental Products. • A product that has seen an uptick in popularity during COVID-19. • The collaborative relationship that used to exist in this space. • Data that the company collects and how it is leveraged. • Determining the likelihood of product adaptation using artificial intelligence. • Getting data on how products are used when they are sold by a distributor. • Looking at holes in the marketplace. • Upcoming trends that Julie thinks will influence her company in the next decade. • What we can get excited about as dental consumers.

Today’s guest is Nick Cherukuri, Founder and CEO of ThirdEye, a company providing augmented reality glasses. ThirdEye was founded in 2016 and has seen rapid growth as a provider of all in one augmented reality solutions for all industries. In the case of the healthcare space, ThirdEye aims to provide hands free working for medical professionals, allowing workers in the field to remotely connect to experts and access protocols and patient information. Nick joins us today to discuss the many possible applications for AR in healthcare, how ThirdEye has avoided the fate of Google Glass and the scope for using AR as a chronic disease management tool. Listen to the podcast to learn about: • How ThirdEye came to be • Specific use cases for AR in healthcare • The benefits of hands-free working in the medical field • Telehealth applications of ThirdEye technology • Avoiding the fate of Google Glass • Creating the ability to triage at a distance • Improving safety and efficiency for workers • Integration with existing healthcare systems • Human factor issues in using ThirdEye technology • User face and intractability options • Current healthcare applications and opportunities • Going past gadgets to becoming useful technology • Use cases for quality of life improvement • Scope for chronic disease management in AR • The beneficial features of ThirdEye products • Pricing options and programs • Where ThirdEye is going in the next five to ten years • Future possibilities for AR integration in healthcare

Today’s guest is Madhu Reddiboina, CEO of RediMinds Inc. This company is in the data sciences field aiming to improve the healthcare delivery through data acquisition and analysis. RediMinds specialize in collecting and organizing all patient centric clinical modalities, problem-specific data integration, and feature engineering. Their models augment the physician’s ability to predict disease vectors and effectively administer treatment protocols. We hear about what data science is and how it can be used in the healthcare space, the issue of explainability when it comes to AI, and the hinderances to interoperability in the current system. Listen to the podcast to learn about: • What data science is • The scope of the applications of data science in healthcare • The process of ‘digitizing’ the patient journey and how it can create predictability models • What the current extent of data science utilization is in the healthcare system • Mechanisms of building predictability models • How RediMinds validates their AI models • The issue of Explainability • Lack of interoperability in the current healthcare system • Creating a better understanding of disease through data science • Fragmentation issues in the healthcare data space • How the fear of new technology and liability hinders adoption rates • The potential role of data science in healthcare over the next decade • The future of RediMinds

Today’s guest is Dr. Jeremy Orr, CEO and Chief Medical Officer of Medial EarlySign, a company that hopes to create widespread AI and machine learning integration in diagnostics. Medial EarlySign aims to help their clients deliver better patient care by identifying individuals at risk of high burden disease who might benefit from the earlier detection of deterioration trajectories. They are leading the charge in augmenting healthcare providers and increasing automation in healthcare delivery. Dr. Orr joins us to discuss applying machine learning techniques to clinical data, how the success of their algorithms is measured, and the impediments they face in expanding AI adoption. Listen to the podcast to learn about: • What Medial EarlySign does • Applying machine learning techniques to clinical data • The Medial EarlySign mission: Aiming for early detection • The process of validating algorithms • FDA classification and interactions • The accuracy percentage of their current algorithm • How they aim to augment healthcare providers, not replace them • The process of incorporating more machine learning into diagnostics • How AI can impact chronic condition management • Friction points and resistance to AI • The importance of individualised, smooth workflow integration • Creating trust in machine learning • The high standards AI is held to and how it can cause distrust • Impediments to expanding adoption • The future of Medial EarlySign and machine learning in healthcare