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Event DataFramed 2025-07-28
Aldo Faisal – Professor in AI & Neuroscience @ Imperial College London

Healthcare AI is rapidly evolving beyond simple diagnostic tools to comprehensive systems that can analyze and predict patient outcomes. With the rise of multimodal AI models that can process everything from medical images to patient records and genetic information, we're entering an era where AI could fundamentally transform how healthcare decisions are made. But how do we ensure these systems maintain patient privacy while still leveraging vast amounts of medical data? What are the technical challenges in building AI that can reason across different types of medical information? And how do we balance the promise of AI-assisted healthcare with the critical role of human medical professionals? Professor Aldo Faisal is Chair in AI & Neuroscience at Imperial College London, with joint appointments in Bioengineering and Computing, and also holds the Chair in Digital Health at the University of Bayreuth. He is the Founding Director of the UKRI Centre for Doctoral Training in AI for Healthcare and leads the Brain & Behaviour Lab and Behaviour Analytics Lab at Imperial’s Data Science Institute. His research integrates machine learning, neuroscience, and human behaviour to develop AI technologies for healthcare. He is among the few engineers globally leading their own clinical trials, with work focused on digital biomarkers and AI-based medical interventions. Aldo serves as Associate Editor for Nature Scientific Data and PLOS Computational Biology, and has chaired major conferences like KDD, NIPS, and IEEE BSN. His work has earned multiple awards, including the $50,000 Toyota Mobility Foundation Prize, and is regularly featured in global media outlets. In the episode, Richie and Aldo explore the advancements in AI for healthcare, including AI's role in diagnostics and operational improvements, the ambitious Nightingale AI project, challenges in handling diverse medical data, privacy concerns, and the future of AI-assisted medical decision-making, and much more. Links Mentioned in the Show: Aldo’s PublicationsConnect with AldoProject: What is Your Heart Rate Telling You?Related Episode: Using Data to Optimize Costs in Healthcare with Travis Dalton and Jocelyn Jiang President/CEO & VP of Data & Decision Science at MultiPlanRewatch RADAR AI New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

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Travis Dalton – President and CEO @ MultiPlan , Jocelyn Jiang – Vice President of Data & Decision Science @ MultiPlan

In healthcare, data is becoming one of the most valuable tools for improving patient care and reducing costs. But with massive amounts of information and complex systems, how do organizations turn that data into actionable insights? How can AI and machine learning be used to create more transparency and help patients make better decisions? And more importantly, how can we ensure that these technologies make healthcare more efficient and affordable for everyone involved?  Travis Dalton is the President and CEO at Multiplan overseeing the execution of the company's mission and growth strategy. He has 20 years of leadership experience, with a focus on reducing the cost of healthcare, and enabling better outcomes for patients and healthcare providers. Previously, he was a General Manager and Executive VP at Oracle Health. Jocelyn Jiang is the Vice President of Data & Decision Science at MultiPlan, a role she has held since 2023. In her position, she is responsible for leading the data and analytics initiatives that drive the company’s strategic growth and enhance its service offerings in the healthcare sector. Jocelyn brings extensive experience from her previous roles in healthcare and data science, including her time at EPIC Insurance Brokers & Consultants and Aon, where she worked in various capacities focusing on health and welfare consulting and actuarial analysis. In the episode, Richie, Travis and Jocelyn explore the US healthcare system and the industry-specific challenges professionals face, the role of data in healthcare, ML and data science in healthcare, the future potential of healthcare tech, the global application of healthcare data solutions and much more.  Links Mentioned in the Show: MultiplanPlanOptix: Providing Innovative Healthcare Price Transparency   Using a Data Mining Service on Claims Data Can Reveal Significant OverpaymentsConnect with Travis and JocelynCourse: Intro to Data PrivacyRelated Episode: Data & AI for Improving Patient Outcomes with Terry Myerson, CEO at TruvetaRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

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