The Harry Glorikian Show

Harry Glorikian
  • 4.9（56則評分）
  • 醫學
  • 隔週更新

At The Harry Glorikian Show, I, Harry Glorikian, am your host. In short, I have talks with leaders in the healthcare & life sciences industry about the ongoing data-driven transformation of their industry. From new ways to diagnose & treat patients, bring down costs & creating new value, all the way to AI algorithms that increase efficiency & accuracy, better data is revolutionizing healthcare. I turn to doctors, hospital administrators, IT directors, entrepreneurs, & others for help mapping out the changes & their impact on everyone from patients to researchers. Welcome to the show!

  1. Dr. David Albert and The AI Revolution in Cardiology

    7月15日

    Dr. David Albert and The AI Revolution in Cardiology

    🎙️ In this episode, we discuss: 00:00 The Journey of an Innovator 06:27 The Birth of a Smartphone ECG 11:29 Overcoming Resistance in Digital Health 16:20 The Evolution of ECG Technology 23:43 The Importance of Early Detection in Cardiac Care 26:20 Innovations in 12-Lead ECG Technology 29:00 AI and Machine Learning in Cardiac Diagnostics 34:23 Remote Monitoring and Patient Empowerment 38:34 Navigating AI Diagnostics: Sensitivity vs Specificity 41:26 Consumer Wearables vs. Medical Devices 43:14 Future of AI in Cardiology and Personal Health Awareness

    46 分鐘
  2. Kyle Kiser is Using AI to Make Your Patient Experience Better

    7月1日

    Kyle Kiser is Using AI to Make Your Patient Experience Better

    🎙️ In this episode, we discuss: 00:00 The Origin Story of Arrive Health 06:04 Rebranding and Evolving Mission 11:50 Real-Time Patient-Specific Drug Costs 18:08 Tackling Prior Authorization Challenges 22:56 Leveraging AI for Healthcare Efficiency 25:36 Understanding Scale and Impact 28:04 Collaboration with Payers and PBMs 30:27 Leveraging AI for Prior Authorization 32:43 Enhancing Access to Medications 36:27 Expanding Beyond Medications 38:19 Reframing Access to Care 40:51 Future Directions and Innovations 44:55 Wisdom for Innovators in Healthcare

    40 分鐘
  3. Making better real-time clinical decisions with AI

    5月1日

    Making better real-time clinical decisions with AI

    🎙️ 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

    39 分鐘
  4. Future of Ultrasound: Innovations Ahead

    4月15日

    Future of Ultrasound: Innovations Ahead

    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

    51 分鐘
  5. Revolutionizing Cardiovascular Care with AI

    4月1日

    Revolutionizing Cardiovascular Care with AI

    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

    56 分鐘
  6. Al's Transformative Role in Pharma ConcertAl CEO Jeff Elton

    2月11日

    Al's Transformative Role in Pharma ConcertAl CEO Jeff Elton

    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

    57 分鐘
  7. Raffi Krikorian Says "We Don't Have Much Time Left" to Rein in AI

    2024/04/09

    Raffi Krikorian Says "We Don't Have Much Time Left" to Rein in AI

    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  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!

    59 分鐘
  8. How ActiveLoop Is Building the Back End for Generative AI

    2024/03/26

    How ActiveLoop Is Building the Back End for Generative AI

    Generative AI is going to change how we do things across the entire economy, including the fields Harry covers on the show, namely healthcare delivery, drug discovery, and drug development. But we’re still just starting to figure out exactly how it’s going to change things. For example, AI is already speeding up the process of discovering new biological targets for drugs and designing molecules to hit those targets—but whether that will actually lead to better medicines, or create a new generation of AI-driven pharmaceutical companies, are still unanswered questions.  One thing that’s for sure is that generative AI isn’t magic. You can’t just  sprinkle it like pixie dust over an existing project or dataset and expect wonderful things to happen automatically. In fact, just to use the data you already have, you have to you may have to invest a lot in the new infrastructure and tools needed to train a generative model. And that’s the part of the puzzle Harry focuses on in today's interview with David Buniatyan. He’s the founder of a company called ActiveLoop, which is trying to address the need for infrastructure capable of handling large-scale data for AI applications. He has a background in neuroscience from Princeton University, where he was part of a team working on reconstructing neural connectivity in mouse brains using petabyte-scale imaging data. At ActiveLoop, David has led the development of Deep Lake, a database optimized for AI and deep learning models trained on equally large datasets. Deep Lake manages data in a tensor-native format, allowing for faster iterations when training generative models. David says the company’s goal is to take over the boring stuff. That means removing the burden of data management from scientists and engineers, so they can focus on the bigger questions—like making sure their models are training on the right data—and ultimately innovate faster. For a full transcript of this episode, please visit our episode page at 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!

    1 小時 3 分鐘
顯示全部 (141)

4.9
（滿分 5 顆星）
56 則評分

簡介

At The Harry Glorikian Show, I, Harry Glorikian, am your host. In short, I have talks with leaders in the healthcare & life sciences industry about the ongoing data-driven transformation of their industry. From new ways to diagnose & treat patients, bring down costs & creating new value, all the way to AI algorithms that increase efficiency & accuracy, better data is revolutionizing healthcare. I turn to doctors, hospital administrators, IT directors, entrepreneurs, & others for help mapping out the changes & their impact on everyone from patients to researchers. Welcome to the show!

資訊

  • 創作者
    Harry Glorikian
  • 活躍年代
    2018年 - 2025年
  • 集數
    141
  • 年齡分級
    兒少適宜
  • 版權
    © Copyright Harry Glorikian 2023
  • 節目網站
    The Harry Glorikian Show