A podcast for the people building healthcare's data and AI future.

High Dimensional Health Data
Claim This Podcastby highdimensional
Podcast Authority
Beta
Podcast Overview
A podcast for the people building healthcare's data and AI future.
Language
🇺🇲
Publishing Since
4/10/2025
Unlock The Full Podcast Authority Score Report
See how your podcast performs across key metrics
Podcast Authority
Beta
Recommendations available
Unlock the full report to see detailed tips
Unlock comprehensive insights including:
- • YouTube presence analysis
- • Social media reach metrics
- • RSS compliance scoring
- • Podcast 2.0 features
- • Technical standards
Detailed Analytics
- Complete breakdown of all 19 authority metrics
- Personalized recommendations for each metric
- Industry benchmarks and comparisons
- Technical RSS feed analysis and compliance scoring
Growth Strategies
- Step-by-step action plans for improvement
- Quick wins to boost your score immediately
- Pro tips from successful podcasters
See how your show performs across every key metric
High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.
Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.
Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.
Reach the team behind High Dimensional Health Data
Verified contact details for this show aren't on file yet — sign up to get notified when they land.
Recent Episodes

October 3, 2025
Reasoning LLMs in Medicine with David Sontag
<p>David Sontag, AI researcher and CEO of Layer Health, joins hosts Phil Ballentine and Aaron Neiderhiser to discuss how AI can meaningfully transform healthcare. From his formative years at Google and MIT to founding Layer Health, David shares what it takes to build AI that truly understands clinical data and improves care. We cover the evolution of machine learning, reasoning in large language models, why healthcare has lagged in AI adoption, and where the biggest opportunities lie today.TIMESTAMPS:(00:00) Introduction and guest background(01:12) Early interest in AI and machine learning(01:53) Academic journey and influences(03:27) Internship at Google and key experiences(06:41) Milestones in AI development(11:32) PhD research and medical applications(14:30) Transition to healthcare AI(27:49) Founding of Layer Health(36:01) Current focus and future prospects(46:23) Conclusion and contact information🔔 SubscribeFor deep dives and guest interviews about healthcare data, AI, and the future of health tech.🎙️ About High Dimensional Health Data (HD²) HD² is the podcast for people building healthcare's data and AI future. Hosted by Aaron and Phil, HD² explores the intersection of healthcare, data, and AI, and focuses on conversations with builders and practitioners.Hosts Phil Ballentine – Sr Director, Data Engineering at Atropos Health 🔗 LinkedInAaron Neiderhiser – Co-Founder and CEO at Tuva Health 🔗 LinkedInGuest David Sontag – CEO at Layer Health 🔗 LinkedIn📩 Interested in working together or coming on the podcast as a guest? Email us at hello@highdimensional.health<br /></p>

August 28, 2025
Alyssa Antonopoulos on LLMs, Oncology, and the Future of Evidence Generation
<p>In this episode, we chat with Alyssa Antonopoulos, a bioinformatician at Natera who spends her days wrangling some of the messiest data in healthcare. We get into the chaos of clinical abstraction, why large language models are exciting (but not magic), and how a single phrase like “last day of therapy” can derail an analysis. Alyssa walks us through Natera’s journey from prenatal testing to cancer monitoring and kidney disease, and we talk about what real-world evidence could look like when the data finally starts playing nice.TIMESTAMPS(0:00) Intro(1:59) Understanding Natera’s Flagship Test(3:34) Natera’s Expansion into Therapeutic Areas(5:09) Real-World Data and Monitoring Frequency(6:40) Data Integration and Abstraction Challenges(9:27) Leveraging Large Language Models for Data Extraction(11:30) Evaluating and Improving Data Accuracy(21:43) Flexible Data Structures for Analysis(23:07) Data Modeling and Oncology Challenges(23:40) Importance of Semantic Definitions(24:27) Data Dictionaries and Abstraction Logic(26:24) Oncology and Chronic Kidney Disease Analyses(27:35) Genomic Landscapes and ctDNA Dynamics(28:25) Kaplan–Meier Analyses in CKD(34:56) Future of Real-World Data and Evidence(38:55) Leading a Data Team: Advice and Insights(42:38) Closing Remarks and Future Plans🔗Links & Resources:Natera Inc: https://www.natera.com/🔔 Subscribe For deep dives and guest interviews about healthcare data, AI, and the future of health tech.🎙️ About High Dimensional Health Data (HD²) HD² is the podcast for people building healthcare's data and AI future. Hosted by Aaron and Phil, HD² explores the intersection of healthcare, data, and AI, and focuses on conversations with builders and practitioners.HostsPhil Ballentine – Sr Director, Data Engineering at Atropos Health🔗 https://www.linkedin.com/in/phil-ballentine/Aaron Neiderhiser – Co-Founder and CEO at Tuva Health🔗 https://www.linkedin.com/in/aaronneiderhiser/GuestsAlyssa Antonopoulo – Senior Director, Data and Informatics (RWD) at Natera 🔗https://www.linkedin.com/in/alyssa-antonopoulos/ Interested in working together or coming on the podcast as a guest? Email us at hello@highdimensional.health</p>

June 27, 2025
Mara Alexeev on Messy Clinical Data, the Limit of EHRs, and the Future of Clinical Informatics
Clinical informatician and pediatrician Mara Alexeev discusses the challenges of messy clinical data and the limitations of electronic health records, while hosts Phil Ballentine and Aaron Neiderhiser explore the future of clinical informatics in this interview.
5 total episodes available
Recent guests on High Dimensional Health Data
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Mara Alexeev
Guest
Deep-dive analytics for High Dimensional Health Data
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is High Dimensional Health Data?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.