AI on the Hill

About AI on the Hill

AI on the Hill is a podcast exploring the intersection of artificial intelligence, biotechnology, and clinical research. Designed to inform and inspire, the show brings together thought leaders, innovators, and regulatory voices to discuss frontier developments in AI-driven drug discovery, clinical trials, and health tech innovations. Co-produced by Hill Research and the Tech Impact Foundation. Hill Research drives the advancement of AI in clinical trials, developing Generative AI solutions that optimize trial design, streamline operations, and improve regulatory outcomes, enabling faster delivery of life-changing therapies. Tech Impact Foundation advances the application of AI, biotechnology, and educational technology to improve human lives, promote knowledge sharing, and foster social equity through STEM education, public engagement, and investment in breakthrough research.

Publisher

Hill Research

Category

business · science · technology

Language

en

Explicit

No

First episode

2 Aug 2025

Latest episode

3 Sept 2026

Latest episodes

24 episodes in the feed.

1. 

   3 Sept 2026

   EviDex: Chasing the Truth Before It Expires

   In this episode of AI on the Hill in the Spotlight, host Vivian sits down with Shuang Cao, an AI researcher, to take a closer look at EviDex — a project focused on making sure AI systems give fresh, accurate answers instead of relying on outdated information. Shuang's work centers on building reliable, auditable AI systems, drawing on experience from research projects that have contributed to major international computer systems conferences. Together, Vivian and Shuang explore what it takes to keep AI current in a world where people turn to search engines, chatbots, and AI assistants for everything from schoolwork to health questions, why reliability matters so much as AI becomes part of everyday decision-making, and what responsible AI design looks like in practice. This episode highlights both the technical challenge of keeping AI up to date and the broader stakes for trust in the tools we rely on every day.

2. 

   18 Feb 2026

   Building Trust in Medical AI: Inside Med-ICE

   In this episode of AI on the Hill in the Spotlight, we take a closer look at Med-ICE — a system built to make medical AI more trustworthy and reliable. We explore how multi-agent collaboration can improve reasoning, why reliability is critical in healthcare, and what responsible AI design looks like in practice. This episode highlights both the technical innovation and the broader lessons for the future of AI in medicine.

3. 

   22 Jan 2026

   FDA Perspectives on AI in Biometrics: Key Pitfalls, Bias Risks, and What Sponsors Must Get Right

   AI is rapidly entering biometrics workflows — but what actually holds up under FDA review, and where do teams most often go wrong? Speakers & ModeratorHanrui Zhang — DHT Review Lead, U.S. Food and Drug Administration (FDA)Yali Li — Vice President, Biostatistics & Data Management, bioMérieuxRan He — Founder, THC LawyersLouise Liu — CEO, Hill Research (Moderator) In this episode of AI on the Hill, we bring together perspectives from the U.S. FDA, global biostatistics leadership, and legal experts to unpack how AI is being evaluated in regulated clinical development today, beyond hype, demos, or exploratory use cases. The conversation dives into the real pitfalls sponsors face when applying AI to biometrics, including bias risks, validation gaps, governance challenges, and the blurred line between decision support and submission-grade evidence. Panelists discuss why AI is not yet ready to serve as a clinical endpoint, how AI-generated analyses may (or may not) complement pivotal trials, and what FDA reviewers actually look for when AI influences statistical analysis or decision-making. Key topics include:-What differentiates exploratory AI from regulatory-acceptable evidence-Common biometrics and subgroup bias pitfalls that raise red flags during FDA review-The role of human-in-the-loop, documentation, and auditability in AI-enabled workflows- When AI adds credibility, and when it increases regulatory and legal risk- How teams should prepare for AI accountability as adoption accelerates This episode is essential listening for professionals in biostatistics, biometrics, clinical development, regulatory affairs, and AI-enabled analytics who want a clear, regulator-aware view of where AI truly fits, and where caution is still required. Recorded live | Public Zoom WebinarSubscribe to AI on the Hill for expert conversations at the intersection of AI, biometrics, and clinical development.

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

5.0 / 5

6 ratings

Spotify

5.0 / 5

1 ratings

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Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.