Super Agers: An Evidence-Based Approach to Longevity

Eric Topol is one of the most influential physician-researchers of his generation, and his career provides important context for Super Agers. Trained as a cardiologist, Topol rose to prominence in the 1990s for his leadership in clinical trials on cardiovascular drugs and interventions. Later, at the Cleveland Clinic and then at Scripps Research in California, he became known for integrating genetics and genomics into medical research, helping to establish “precision medicine” as a paradigm. In the 2000s, Topol emerged as an early advocate for digital health tools, including wearable sensors, AI-driven diagnostics, and patient-centered technologies, often writing about how these tools could transform medicine.

This professional background informs Super Agers. Topol’s emphasis on “Lifestyle+,” for example, reflects both a clinician’s recognition that prevention matters and a researcher’s ability to synthesize global data into actionable recommendations. His exploration of AI in aging research builds directly on his earlier books, including Deep Medicine (2019), which argued that AI could restore the human touch in medicine by automating data analysis and thus freeing physicians up to return to interacting with patients. In Super Agers, his long-standing interests in genomics, biotechnology, AI, and clinical care are woven into a single