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Jeff Kaditz

Showing 1–3 of 3 transcripts.

  1. a16z18 min

    a16z Podcast | How to Live Longer and Better

    Kristen Fortney, Jeff Kaditz, David Sinclair, Michael Snyder, Hanne Tidnam, Hannah, Mike Snyder

    Driven by an explosion of biological data and computing power, the longevity sector is transitioning from reactive treatment to proactive precision health, with experts projecting a potential 5 to 15-year increase in human healthspan. Key advancements in tracking molecular signatures and removing senescent cells aim to compress morbidity and save the U.S. healthcare system approximately $3 to $4 trillion by reducing chronic disease prevalence. Despite ongoing debates over data ownership and clinical trial limitations, the convergence of continuous monitoring and pharmacological interventions is establishing a new framework for extending functional life.

  2. a16z26 min

    a16z Podcast | When Will Genomics Live Up to the Hype?

    Carlos Araya, Jeff Kaditz, Gabe Otte, Malinka Walaliyadde, Hannah, Malinka Walaliate

    Panelists identify a critical disconnect between the static reference genome established by the Human Genome Project and the dynamic reality of somatic DNA errors, which Jeff Kaditz characterizes as an information corruption problem driving cancer. Experts propose leveraging artificial intelligence to integrate multi-omics data and longitudinal phenotypic records to transform probabilistic mutation calls into actionable preventative tools that mimic dental hygiene practices. Despite regulatory liability concerns and payer demands for immediate cost savings, the consensus points toward a consumer-paid "genomic thermometer" model that shifts healthcare from reactive treatment to proactive maintenance through scalable, affordable testing.

  3. a16z30 min

    a16z Podcast | Health Data -- A Feedback Loop for Humanity

    Jeffrey Kaditz, Vijay Pande, Sonal Chokshi, Jeff Kaditz

    Jeff Kaditz and Q.bio advocate replacing the current reactive medical model with a longitudinal physiology tracking system that establishes personalized baselines to predict disease before symptoms emerge. By treating the human body as a dynamic time-series rather than a static snapshot, the initiative aims to reduce false positives and align healthcare with the proven preventative success of modern dentistry. This shift requires overcoming economic barriers in fee-for-service reimbursement and establishing a framework for patient data ownership to create a predictive feedback loop that could eventually eliminate deaths from treatable conditions.