The Future of Vaccines

Stanford Engineering
Stanford EngineeringMar 13, 2026

Why It Matters

Understanding vaccine variability and leveraging AI for biomarker discovery are essential to improve efficacy, maintain public trust, and prepare for future pandemics.

Key Takeaways

  • Vaccines have cut child mortality by millions annually.
  • Individual immune responses to vaccines remain poorly understood.
  • Risk‑benefit assessment drives vaccine approval and public acceptance.
  • AI could accelerate discovery of biomarkers for vaccine efficacy.
  • Herd immunity depends on transmission mode and vaccine coverage.

Summary

The Stanford Engineering podcast “The Future of Everything” hosted a conversation with Stanford professor Bonnie Maldonado about the past, present, and future of vaccines. Maldonado traced vaccine history from 19th‑century experiments to today’s global immunization programs, emphasizing how vaccination has slashed deaths from infectious diseases, especially among children and the elderly.

She highlighted that, despite dramatic public‑health successes, scientists still know little about why individuals respond so differently to the same vaccine. Clinical development still relies on broad markers—antibody and T‑cell responses—while side‑effect monitoring remains a blunt, risk‑benefit calculus. Emerging tools such as artificial intelligence may help decode complex molecular biomarkers and personalize vaccine design.

Maldonado invoked classic examples to illustrate these points: Jenner’s cow‑pox inoculation that led to small‑pox eradication, the high‑mortality small‑pox vaccine trade‑off, and the paradox of HIV’s slow, lethal progression. She also noted that herd immunity is not universal; it hinges on transmission dynamics and sufficient coverage, explaining why some diseases require annual boosters while others need only a single dose.

The discussion underscores a pressing need for deeper immunological insight, better predictive models, and transparent communication to sustain public confidence. As new pathogens emerge, leveraging AI and expanding biomarker research could accelerate safer, more effective vaccines, shaping global health policy and market strategies for decades to come.

Original Description

Epidemiologist Yvonne “Bonnie” Maldonado is an expert in vaccine research and public health. Look back centuries, and the story is always the same, she says: Death rates from viruses have plummeted, especially in children and the elderly. And yet, millions of children die each year from vaccine-preventable diseases. Vaccines need a return of public confidence, and that starts with better messaging and greater support of nongovernmental messengers like herself. The bottom line is that vaccines are safe, she says. Vaccines work and we have saved many lives because of them, Maldonado reminds host Russ Altman on this episode of Stanford Engineering’s The Future of Everything podcast.

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