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What if, for every year you lived, medicine gave you back more than a year of healthy life?

In Episode 10, oncologist Jivesh Sharma, M.D., and Talia, our AI cohost, explore longevity escape velocity and the technologies that could get us closer. Five capabilities are maturing at the same time, and AI is starting to link them into one loop: reading the body (genomes, single cells, proteins, wearables), understanding it (AlphaFold, genome models, virtual cells), writing corrections (protein design, CRISPR, base and prime editing, epigenetic editing, partial reprogramming), delivering them (lipid nanoparticles, personalized mRNA cancer vaccines) and measuring whether they worked (aging clocks).

The goal is healthspan: more good years, not just a longer life. Research cutoff: November 3, 2026. The predictions near the end are the host's own views, not established facts.

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Disclosure: This episode uses an authorized AI-generated version of Jivesh Sharma's voice and an AI cohost. Molecular structures are real Protein Data Bank entries (1UBQ, 4OO8, 1IGT, 1KX5, 1GT0); diagrams, scenarios and animations are labeled illustrations, not patient data or study results. Company-reported results are labeled as such. General education, not personal medical advice.

CHAPTERS
0:00 Outrunning the clock
1:08 Healthspan, not just lifespan
2:08 Aging is the root of disease
3:21 The convergence loop
4:17 Read: seeing the body in detail
5:21 Understand: AI learns the language of biology
7:23 Write: editing biology
9:43 Deliver: reaching the right cells
10:57 Measure: closing the loop
11:58 A possible future for one patient
13:04 For everyone
13:36 Predictions and escape velocity
14:29 Thank you

KEY SOURCES (full list on the YouTube episode page)
CDC NCHS: Mortality in the United States, 2024 (life expectancy)
https://www.cdc.gov/nchs/products/databriefs/db548.htm
Garmany & Terzic, JAMA Network Open 2024: healthspan-lifespan gaps
https://pmc.ncbi.nlm.nih.gov/articles/PMC11635540/
López-Otín et al., Cell 2023: Hallmarks of aging
https://doi.org/10.1016/j.cell.2022.11.001
NHGRI: DNA sequencing costs
https://www.genome.gov/about-genomics/fact-sheets/DNA-Sequencing-Costs-Data
AlphaFold Protein Structure Database
https://alphafold.ebi.ac.uk/
Google DeepMind: AlphaGenome
https://deepmind.google/blog/alphagenome-ai-for-better-understanding-the-genome/
Musunuru et al., NEJM 2025: patient-specific base editing
https://www.nejm.org/doi/full/10.1056/NEJMoa2504747
Ocampo et al., Cell 2016: partial reprogramming
https://doi.org/10.1016/j.cell.2016.11.052
Merck and Moderna: Phase 3 INTerpath-001 results (company-reported)
https://www.merck.com/news/merck-and-moderna-will-present-results-from-landmark-phase-3-interpath-001-trial-for-intismeran-autogene-plus-keytruda-pembrolizumab-at-esmo-2026-presidential-symposium/
Oh et al., Nature 2023: organ aging from plasma proteins
https://doi.org/10.1038/s41586-023-06802-1
Loyal: LOY-002 FDA safety section accepted
https://loyal.com/posts/loy-002-tas-announcement