The Medical AI Podcast Dr. Felix Beacher and Joe McKeating

Davit Buniatyan is the CEO and Founder of Activeloop, a company advancing the way deep learning teams manage multi-modal datasets. In this episode, Buniatyan discusses how Activeloop's AI-native data format based on tensors is poise to help transform healthcare by enabling the digitization of medical images and streamlining workflows.

Buniatyan shares insights into the primary safety concerns when integrating private company data with large language models, as well as the current challenges around the GPU shortage and how Activeloop is addressing them. He also delves into the rise of unstructured data and the need for industry standards to efficiently process this information for machine learning purposes.

As the leader of a company at the forefront of AI data management, Buniatyan provides valuable perspectives on the future of this rapidly evolving field and how Activeloop is helping teams ship AI products faster without the need to build complex data infrastructure.

In this episode, we explore the pioneering world of digital and computational pathology with Dr. David Klimstra, whose illustrious career spans from his former role as Chair of the Pathology Department at Memorial Sloan Kettering Cancer Center to his current position as Co-Founder and Chief Medical Officer at Paige AI. Dr. Klimstra shares his journey through the evolution of pathology, highlighting the transformative impact of artificial intelligence and digital technologies on the field. We explore how his work at Paige AI is reshaping the landscape of cancer diagnosis and treatment, making it more precise, efficient, and patient-focused.

Episode 37: AI for psychotherapy. With Lindsay McKean, Psychotherapist

The liver is a miracle of physiology, with over 1,000 known functions. This highlights the potential impact of liver dysfunction on various bodily systems. Also, liver disease is a major cause of death globally, and the numbers are on the rise. This adds up to a critical clinical need.


Dr Neil Guha is Professor of Hepatology at the University of Nottingham, an NHS consultant and Research scientist.
He recently published an excellent paper in the journal of medical AI on a ML model to rate risk for liver disease.

A year ago, very soon after the release of ChatGPT there was an article in Nature with the curious title… ChatGPT listed as author on research papers: many scientists disapprove



Since then, the use of LLMs in medical research has exploded, including as a coauthor of articles. But how is it being used? Does it matter? Does it undermine the human authors? And does it risk the quality of the research?



With me to discuss this is a brilliant up and coming researcher at the Universal Scientific Education and Research Network, Fiona Morrison.

Anitha Kannan is a founding member and the head of machine
learning at Curai Health, an AI-powered virtual clinic on a mission to improve
access to care at scale. Anitha spearheads the development of machine learning
technology designed to reimagine care delivery and enhance patient outcomes.
Prior to her work at Curai, Anitha held senior research positions at Facebook
AI Research and Microsoft Research, where she received multiple Gold Star
awards. She holds a PhD in machine learning from the University of Toronto and
was a Darwin Fellow at the University of Cambridge.