The Harry Glorikian Show

🎙️ In this episode we discuss: 01:06 The founding story of Retina AI 03:56 Why ophthalmology is uniquely suited for AI solutions 06:27 Recent Series B funding and what it means for the company 08:31 How AI integrates into real-world clinical workflows 12:04 AI alerts and notifications for clinical decision support 16:36 Working with pharmaceutical companies on clinical trials 19:15 Predicting disease progression for untreated patients 25:42 The transition from traditional AI to newer approaches 29:28 Expanding beyond eye care with the Ikerian rebrand 32:06 Using the eye as a window to detect other diseases 37:44 How physicians have responded to AI diagnostic tools 41:09 Predictions for AI in healthcare and eye care by 2028

Chapters 00:00 Introduction and Company Updates 02:49 The Digital Transformation of Ultrasound Imaging 06:00 Advancements in Technology and Market Growth 09:03 AI Integration in Medical Imaging 14:50 Impact on Global Health and Humanitarian Efforts 20:55 Challenges in Mainstream Adoption of Handheld Ultrasound 29:43 Strategic Sales Approaches in Medical Devices 34:11 Finding Product-Market Fit 36:12 Simplicity in Medical Technology 39:26 Unexpected Use Cases and Market Adoption 45:24 Future Innovations in Handheld Ultrasound 51:58 The Importance of Patient Data Ownership

00:00 Introduction and Overview of Caristo Diagnostics 09:08 The Technology Behind Carry Heart 18:00 Clinical Implications and Risk Assessment 27:27 Actionable Steps for Patients 30:34 Optimizing Cardiovascular Drug Dosing 32:31 AI in Cardiovascular Medicine 33:50 Leveraging Historical Data for Risk Prediction 36:25 AI's Role in Molecular Pathway Analysis 39:03 GLP-1 and Cardiovascular Outcomes 41:56 Targeted Therapies in Cardiovascular Treatment 42:45 Building Trust in New Technologies 49:16 Regulatory Approvals and Future Prospects 54:15 Expanding Applications Beyond Cardiology 57:16 Looking Ahead: The Future of Caristo Diagnostics

In this episode of The Harry Glorikian Show, host Harry Glorikian welcomes back Jeff Elton, CEO of Concert AI, to discuss the latest advancements in AI-driven healthcare solutions. They reflect on the recent JP Morgan Healthcare Conference, highlighting the optimism surrounding AI's role in transforming drug development and oncology. Jeff shares insights into Concert AI's innovative data ecosystems, partnerships, and the introduction of Kera, an AI platform designed to enhance clinical decision-making. The conversation also explores the challenges and opportunities in the evolving landscape of healthcare technology, emphasizing the importance of collaboration and adaptability in the face of rapid change. Takeaways: The JP Morgan Healthcare Conference indicated a positive outlook for the industry. AI is becoming a central theme in healthcare discussions. Concert AI is developing a comprehensive data ecosystem for oncology. The introduction of agentic AI models is set to revolutionize data processing. Collaboration with NVIDIA is enhancing Concert AI's capabilities. Kera is a significant advancement in AI-driven healthcare solutions. The future of drug development will rely heavily on AI and data analytics. Healthcare organizations must adapt to the rapid pace of technological change. Building partnerships is crucial for addressing healthcare fragmentation. The integration of AI in clinical trials can significantly reduce timelines. Chapters   00:00 The Annual Healthcare Pilgrimage 03:19 Optimism in the Pharma Industry 06:07 The Rise of AI in Healthcare 10:03 Concert AI's Evolution and Innovations 15:10 2024: A Standout Year for Concert AI 18:55 Balancing Growth and Innovation 22:33 Scaling Across Therapeutic Areas 26:26 The Future of Collaborations in Healthcare 28:37 Integrating Immune Status and Data Collaboration 31:04 Introducing Kera AI: The Future of Data Management 35:24 Innovations in Clinical Trials and Data Solutions 40:16 Rethinking Drug Development: Digital Twins and AI 42:36 Navigating Market Shifts and Talent Challenges 54:02 The Future of Concert AI and Healthcare Solutions

Harry's guest this week is Raffi Krikorian, chief technology officer and managing director at Emerson Collective, the social change organization founded by Laurene Powell Jobs. Krikorian is the former vice president of engineering at Twitter (now X), where he was responsible for getting rid of the Fail Whale and making the company’s backend infrastructure more reliable; the former director of Uber's Advanced Technology Center in Pittsburgh, where he oversaw the launch of the world's first fleet of self-driving cars; and then the chief technology officer at the Democratic National Committee, where he helped rebuild the party's technology infrastructure after the Russian hacking debacle of 2016. At Emerson Collective, Krikorian built the technology organization, leads the development of data products, and works to upgrade the back offices of the non-profits Emerson works with. On top of all that, he recently launched a podcast called Technically Optimistic, where he’s taking a deep dive into the way AI is challenging us all to think differently about the future of work, education, policy, regulation, creativity, copyright, and many other areas. The show is a must-listen for anyone who cares about how we can build on AI to transform society for the better while minimizing the collateral damage. Harry talked with Krikorian about why he moved to Emerson Collective, why and how he started the podcast, and what he really thinks about what government should be doing to prepare for the waves of social change AI will bring. For a full transcript of this episode, please visit our episode page at http://www.glorikian.com/podcast  [http://www.glorikian.com/podcast] Please rate and review The Harry Glorikian Show on Apple Podcasts or Spotify!  Here's how to do that on Apple Podcasts: 1. Open the Podcasts app on your iPhone, iPad, or Mac.  2. Navigate to The Harry Glorikian Show podcast. You can find it by searching for it or selecting it from your library. Just note that you'll have to go to the series page which shows all the episodes, not just the page for a single episode. 3. Scroll down to find the subhead titled "Ratings & Reviews." 4. Under one of the highlighted reviews, select "Write a Review." 5. Next, select a star rating at the top — you have the option of choosing between one and five stars.  6. Using the text box at the top, write a title for your review. Then, in the lower text box, write your review. Your review can be up to 300 words long. 7. Once you've finished, select "Send" or "Save" in the top-right corner.  8. If you've never left a podcast review before, enter a nickname. Your nickname will be displayed next to any reviews you leave from here on out.  9. After selecting a nickname, tap OK. Your review may not be immediately visible. On Spotify, the process is similar. Open the Spotify app, navigate to The Harry Glorikian Show, tap the three dots, then tap "Rate Show." Thanks!