Have you ever wondered if your Apple Watch could one day be your personal health coach—or even your doctor? In this episode we unpack Apple’s bold moves in the healthcare space and what it means for the future of your well-being. Topics Covered: Apple’s vision to empower personal wellness through everyday tech How devices like the Apple Watch and AirPods are becoming medical tools The hidden power of Apple’s software platforms: HealthKit, ResearchKit, and CareKit Apple’s global strategy for scaling health features worldwide How Apple is prioritizing privacy and earning user trust What’s next: AI-driven health insights, new sensors, and telehealth integration Credits: Production: MedShake Studio Host: Anca Petre ✔ Stay connected and learn more: LinkedIn: linkedin.com/in/ancapetre (http://linkedin.com/in/ancapetre) Website: www.ancapetre.com (http://www.ancapetre.com) & www.medshake-studio.com (http://www.medshake-studio.com) Email: anca@medshakestudio.com (mailto:anca@medshakestudio.com) More about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting. Hosted by Ausha. See ausha.co/privacy-policy for more information.

AI in Healthcare: What the Headlines Don’t Tell You (AI-generated summary) In this episode, we take a critical look at the real state of AI in healthcare in 2025, beyond the hype and sensational headlines. Using insights from Stanford University's AI Index Report 2025, we explore what’s actually happening at the intersection of AI and medicine—from breakthroughs to limitations, and everything in between. Topics Covered: AI outperforms doctors in diagnostics—but struggles in real-world workflows The rise of medical foundation models like Med-Gemini and ChexAgent Virtual AI labs and the future of collaborative research How AI-powered scribes are reducing burnout and saving time Synthetic data’s growing role in privacy-conscious innovation The surge in FDA-approved AI tools—and what that really means The high cost and hallucination risks of advanced LLMs Ethical progress in areas like bias, explainability, and consent Integrating social determinants of health into AI models for equity This episode was crafted using AI, delivering the key takeaways from this important update in a concise, educational, and accessible format—perfect for staying informed on the go. Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this episode, we break down the mind-bending world of quantum computing—no physics degree required. From spinning qubits to digital twins, we explore how this revolutionary tech could unlock breakthroughs in drug discovery, clinical trials, and personalized medicine. Topics Covered: What quantum computing actually is (in plain English) How superposition and entanglement make qubits so powerful Why quantum is perfect for simulating molecules in drug discovery The potential of digital twins and in silico trials for personalized care When and how quantum computers will be useful in real-world healthcare Credits: Production: MedShake Studio Host: Anca Petre ✔ Stay connected and learn more: LinkedIn: linkedin.com/in/ancapetre (http://linkedin.com/in/ancapetre) Website: www.ancapetre.com (http://www.ancapetre.com) & www.medshake-studio.com (http://www.medshake-studio.com) Email: anca@medshakestudio.com (mailto:anca@medshakestudio.com) More about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting. Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this episode, we explore FUTURE-AI, a groundbreaking global framework designed to ensure that medical AI is not just innovative—but also ethical, transparent, and worthy of our trust. With input from 117 experts across 50 countries, this initiative aims to set the first internationally agreed-upon standards for responsible AI in healthcare. Topics Covered: What FUTURE-AI stands for—and why it matters The six core principles: Fairness, Universality, Traceability, Usability, Robustness, Explainability How the Delphi method shaped a global consensus on AI standards The difference between research AI tools and those ready for clinical use Why this framework could shape the future of ethical AI in medicine Credits: Production: MedShake Studio Host: Anca Petre ✔ Stay connected and learn more: LinkedIn: linkedin.com/in/ancapetre (http://linkedin.com/in/ancapetre) Website: www.ancapetre.com (http://www.ancapetre.com) & www.medshake-studio.com (http://www.medshake-studio.com) Email: anca@medshakestudio.com (mailto:anca@medshakestudio.com) More about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting. Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this episode, we explore how artificial intelligence is stepping into the role of personal fitness coach—and actually outperforming humans at motivating us to move. We dive into the groundbreaking research behind MHC-Coach, a Stanford-developed AI model fine-tuned on behavioral psychology, designed to deliver just the right nudge at just the right time. Topics Covered: Why behavior change is one of healthcare’s biggest challenges How the MHC-Coach uses the “Stages of Change” model to personalize motivation Why AI-generated messages outperformed human-written ones in a large-scale study The role of Just-in-Time Adaptive Interventions (JITAI) in real-time health nudges The potential of AI as a scalable, empathetic health behavior coach Credits: Production: MedShake Studio Host: Anca Petre ✔ Stay connected and learn more: LinkedIn: linkedin.com/in/ancapetre (http://linkedin.com/in/ancapetre) Website: www.ancapetre.com (http://www.ancapetre.com) & www.medshake-studio.com (http://www.medshake-studio.com) Email: anca@medshakestudio.com (mailto:anca@medshakestudio.com) More about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting. Hosted by Ausha. See ausha.co/privacy-policy for more information.

Why do so many people use AI tools like ChatGPT and Google Gemini—but still hesitate to trust them with health advice? In this episode, we explore a recent national survey from KFF and JAMA that uncovers the surprising disconnect between how often we use AI and how little we trust it in matters of health. Topics Covered: Why only 5% of users are "very confident" in AI health advice How age influences both AI use and skepticism The role of familiarity bias and the need for empathy in healthcare Why data transparency and accountability are essential for trust What needs to change—education, regulation, and system design—for AI to earn our confidence Credits: Production: MedShake Studio Host: Anca Petre ✔ Stay connected and learn more: LinkedIn: linkedin.com/in/ancapetre (http://linkedin.com/in/ancapetre) Website: www.ancapetre.com (http://www.ancapetre.com) & www.medshake-studio.com (http://www.medshake-studio.com) Email: anca@medshakestudio.com (mailto:anca@medshakestudio.com) More about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting. Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this episode, we explore how artificial intelligence and tech giants like Amazon and Google are transforming healthcare into a direct-to-consumer model—reshaping everything from diagnosis to prescription delivery. Topics Covered: Why traditional healthcare systems are becoming unsustainable How AI and telehealth are bypassing hospitals and clinics The role of Big Tech and data in personalized, on-demand care Ethical and regulatory concerns around consumer health apps What the future holds: competition or collaboration between old and new models Credits: Production: MedShake Studio Host: Anca Petre ✔ Stay connected and learn more: LinkedIn: linkedin.com/in/ancapetre (http://linkedin.com/in/ancapetre) Website: www.ancapetre.com (http://www.ancapetre.com) & www.medshake-studio.com (http://www.medshake-studio.com) Email: anca@medshakestudio.com (mailto:anca@medshakestudio.com) More about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting. Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this episode, we’re diving into a groundbreaking study from Mass General Brigham that could change the future of clinical research. The star of the show? An AI tool called RECTIFIER, designed to accelerate the notoriously slow process of trial recruitment by screening patients more efficiently than traditional methods. Topics Covered: Why clinical trial recruitment is a major bottleneck in medical innovation How RECTIFIER uses large language models to analyze unstructured medical data Key results from the JAMA study comparing AI vs. manual screening The potential for AI to speed up timelines, lower costs, and improve access Ethical and logistical limitations of deploying AI in clinical research Credits: Production: MedShake Studio Host: Anca Petre ✔ Stay connected and learn more: LinkedIn: linkedin.com/in/ancapetre (http://linkedin.com/in/ancapetre) Website: www.ancapetre.com (http://www.ancapetre.com) & www.medshake-studio.com (http://www.medshake-studio.com) Email: anca@medshakestudio.com (mailto:anca@medshakestudio.com) More about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting. Hosted by Ausha. See ausha.co/privacy-policy for more information.

In this episode, we take a critical look at one of the most pressing questions in digital health: Can we truly trust AI in healthcare? With the rapid rise of AI-powered tools promising efficiency and accuracy, it’s easy to overlook a key issue—bias. Drawing from a recent study in npj Digital Medicine, Anca explores how AI systems can unintentionally perpetuate health disparities and what steps we can take to prevent them. Topics Covered: How bias infiltrates AI systems through data, algorithms, and deployment Real-world consequences of biased AI tools in diagnosis and treatment Examples of disparities in dermatology and risk prediction models Strategies to mitigate bias, including diverse data collection and explainable AI The ethical debate: Can AI help eliminate or worsen existing inequalities in healthcare? Credits: Production: MedShake Studio Host: Anca Petre ✔ Stay connected and learn more: LinkedIn: linkedin.com/in/ancapetre (http://linkedin.com/in/ancapetre) Website: www.ancapetre.com (http://www.ancapetre.com) & www.medshake-studio.com (http://www.medshake-studio.com) Email: anca@medshakestudio.com (mailto:anca@medshakestudio.com) More about the podcast: Every week, I dive into the most transformative trends at the intersection of technology and healthcare. From AI-driven breakthroughs in diagnostics to the role of blockchain in securing health data, from decentralized science (DeSci) to NFT-powered health innovation, and from gamified fitness to the potential of digital twins, I’m here to make complex topics simple, accessible, and exciting. Hosted by Ausha. See ausha.co/privacy-policy for more information.

Health Data Governance in the Age of Artificial Intelligence (AI-generated summary) This episode delves into a recent report from the WHO Regional Office for Europe that explores the evolving landscape of health data governance in the era of artificial intelligence. The report underscores the critical need for robust governance frameworks to ensure trustworthy, equitable digital health systems and ethical data use in AI development. Topics Covered: Key findings from the WHO's 2022 survey on digital health progress Challenges around interoperability and stakeholder engagement Urgent actions to strengthen data governance and digital infrastructure The importance of promoting interoperability standards This episode was crafted using AI, delivering the key takeaways from this important update in a concise, educational, and accessible format—perfect for staying informed on the go. Hosted by Ausha. See ausha.co/privacy-policy for more information.