Why AI alone can’t fix healthcare’s data mess. That’s the hard truth revealed by Rajiv Haravu, SVP of Product Management at IMO Health, in this critical interview with xCures CEO Mika Newton.

• Understand why AI isn’t enough to clean clinical data
• Explore the limits of LLMs in healthcare workflows
• Learn about the role of NLP and human expertise
• Discover how precision sets improve data quality

🎥 Watch now to see why real solutions go beyond buzzwords, and what truly enables smarter, safer healthcare decisions.

What if your smartwatch could spot a heart issue before symptoms start? Dr. Euan Ashley shares how AI and wearables like the Apple Watch are shifting healthcare from reactive to proactive, catching conditions early, redefining “normal,” and freeing doctors to focus more on patients. From silent strokes to personalized prevention, this is a look at the future of medicine, and what your heart might already be telling you.

AI is shaping healthcare decisions, often without us realizing it, by creating digital twins powered by our health data. Jason Alan Snyder from Super Truth explains how this data is used to build these systems, why bad data leads to bad outcomes, and how we can take control of our own information. This eye-opening conversation reveals what’s happening behind the scenes in healthcare and why it impacts all of us.

Healthcare costs are rising, and AI can be the key to fixing the system. Beyond improving patient care, AI has the potential to reduce administrative burdens, streamline workflows, and lower overall costs. Dr. Alister Martin has spent years at the intersection of medicine and social change, exploring how technology can make healthcare more efficient and accessible. This conversation looks at how AI-driven solutions can address both the financial and social challenges facing healthcare.

The future of healthcare is evolving fast, with AI and digital tools transforming patient care. Pelu Tran shares insights on how technology is improving clinical workflows, making healthcare more accessible, and reshaping the role of doctors. We also explore the challenges of integration, the balance between automation and human expertise, and what the next decade could look like for both patients and medical professionals.

Lab results can be complex, but AI is changing how we interpret data and improve patient care. Dr. Sanjay Juneja and David Norris discuss how AI reduces administrative burdens, detects conditions like iron deficiency, and optimizes workflows. They explore how automation helps doctors focus more on patients, easing burnout and strengthening provider-patient relationships. As AI reshapes healthcare, its benefits, challenges, and ethical concerns continue to evolve.

AI is transforming healthcare, but where does it fall short? Mika Newton talks with Krish Ramadurai from AIX Ventures about AI’s role in clinical workflows, drug discovery, and full-stack biotech companies. They explore the challenges of integration, the need for domain expertise, and the push for automation in clinical development. Plus, they discuss regulatory hurdles and what investors seek in AI-driven healthcare. Tune in for key insights into the future of AI in healthcare.

Mika Newton talks with Dr. Nigam Shah, Stanford professor and Chief Data Scientist, about AI in healthcare. They discuss AI’s sustainability, regulatory challenges, and the need for localized validation. The conversation explores how AI can improve clinical decision-making, optimize resources, and expand patient access while addressing implementation and data-sharing barriers.

This episode explores AI's role in healthcare, focusing on drug repurposing, data sharing challenges, and regulatory barriers. Mika Newton and Bob Battista discuss how AI can enhance clinical decision-making, improve patient access to treatments, and streamline medical records. They also address privacy laws, governance, and the potential for AI to transform healthcare by making critical knowledge more accessible.

Mika Newton and Tom Neyarapally discuss how AI is changing the landscape of drug discovery. They examine the role of machine learning, patient data, and computational tools in accelerating the process, reducing costs, and improving the chances of developing effective treatments. The conversation covers how AI-driven screening, drug repurposing, and real-world data integration are helping to overcome traditional challenges in bringing new therapies to patients faster.

In this episode, Dr. Sanjay Juneja and Dr. Debra Patt discuss AI in healthcare. They cover its applications in cancer care, from improving diagnostics and treatment decisions to enhancing patient education and real-time symptom management. The conversation also highlights AI's potential in drug discovery, reducing healthcare costs, optimizing administrative workflows, and addressing the challenges of data integration and biases in AI systems.