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Two people can share a birthday and age very differently. Scientists call that difference biological age, and for the first time we can measure it, see what drives it inside our cells, and begin to change it.

In Episode 11, oncologist Jivesh Sharma, M.D., and Talia, our AI cohost, take a tour of the science: a map of what ages our cells (mTOR, AMPK, telomeres, senescent cells, DNA tags, mitochondria and inflammation), the clocks that now read organ age from a blood sample, the large GLP-1 trials showing protection for the heart, kidneys and liver, five strategies to watch (GLP-1 medicines, metformin, rapamycin, senolytics and cell reprogramming), and how AI is shortening every cycle of discovery.

Research cutoff: November 10, 2026. The predictions near the end are the host's own views, not established facts. The medicines discussed are prescription medicines with real side effects; decisions about them belong with you and your doctor.

Thank you for listening. Follow HealthIT.com for the next conversation. What should we explore next? Suggestions: https://www.healthit.com/feedback

Disclosure: This episode uses an authorized AI-generated version of Jivesh Sharma's voice and an AI cohost. Diagrams, scenarios and animations are labeled illustrations or study summaries, not patient data. Company-reported results are labeled as such. General education, not personal medical advice.

CHAPTERS
0:00 Same birthday, different bodies
0:46 Two kinds of age
1:31 A map of aging: what goes wrong inside our cells
3:22 Reading the clock: measuring biological age
4:30 Why measuring changes everything
4:59 The GLP-1 story: heart, kidneys, liver, brain
6:49 Five strategies to watch
8:53 How AI speeds it up
10:09 A checkup ten years from now
11:01 What to do today
11:41 Predictions
12:26 Thank you

KEY SOURCES (full list on the YouTube episode page)
López-Otín et al., Cell 2013 and 2023: hallmarks of aging
https://doi.org/10.1016/j.cell.2022.11.001
Oh et al., Nature 2023 and Nature Medicine 2025: organ ages from blood proteins
https://doi.org/10.1038/s41586-023-06802-1
Lincoff et al., NEJM 2023: semaglutide and cardiovascular outcomes (SELECT)
https://doi.org/10.1056/NEJMoa2307563
Perkovic et al., NEJM 2024: kidney outcomes (FLOW)
https://doi.org/10.1056/NEJMoa2403347
Sanyal et al., NEJM 2025: liver (ESSENCE)
https://doi.org/10.1056/NEJMoa2413258
Adamou et al., International Journal of Stroke 2024: stroke, eleven trials
https://doi.org/10.1177/17474930241253988
Cummings et al., Lancet 2026: semaglutide in early Alzheimer's disease
https://doi.org/10.1016/S0140-6736(26)00459-9
Bhatt, Pandey and Misra, Mechanisms of Ageing and Development 2026: metformin and telomeres
https://doi.org/10.1016/j.mad.2026.112241
Avsec et al., Nature 2026: AlphaGenome
https://doi.org/10.1038/s41586-025-10014-0
Loyal: LOY-002 FDA safety section accepted (company-reported)
https://loyal.com/posts/loy-002-tas-announcement

Free Clinical AI Briefs: https://www.healthit.com/signup?utm_source=podcast&utm_medium=audio&utm_campaign=pod_ep10 · Course: https://oncologyaiacademy.com/course?utm_source=podcast&utm_medium=audio&utm_campaign=pod_ep10

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.

Thank you for listening. Follow HealthIT.com for the next conversation. What should we explore next? Suggestions: https://www.healthit.com/feedback

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

AI is moving from answering questions to taking physical actions. What does that mean for healthcare?

In Episode 9, Jivesh Sharma, M.D., and Talia, our AI cohost, explore recent developments in hospital delivery robots, supervised blood collection, autonomous ultrasound acquisition and robot-assisted surgery. We explain the feedback loop behind physical AI: perception, registration, controlled movement and repeated observation.

The practical question is whether a completed delivery, scan or blood draw helps the next step of care happen. A research demonstration, an FDA authorization and a company rollout establish different things; none alone proves better patient outcomes or lower costs.

Research cutoff: October 27, 2026. This episode covers developments from July through October 2026.

Thank you for watching or listening. Follow HealthIT.com for future conversations; on YouTube, like this episode and subscribe. Which healthcare task would you like us to explore next? Suggestions: https://www.healthit.com/feedback

Disclosure: This episode uses an authorized AI-generated version of Jivesh Sharma's voice and an AI cohost. Synthetic imagery and explanatory animations are illustrations, not footage of actual devices, patients or study results. General education, not personal medical advice.

CHAPTERS
0:00 What changed in healthcare robotics
0:47 From AI answers to physical actions
2:06 How a robot senses and moves
3:15 Robots behind the scenes
4:15 The blood-draw example
4:58 Acquiring an ultrasound scan
5:59 Surgery: control and autonomy
7:00 What patients may notice next
8:04 Thank you and closing

PRIMARY SOURCES
FDA: Aletta robotic blood-draw authorization
https://www.fda.gov/news-events/press-announcements/fda-authorizes-first-its-kind-robotic-blood-draw-device
Google DeepMind: Gemini Robotics 2
https://deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/
Google: Gemini 4 Argon for Robotics
https://developers.googleblog.com/gemini-4-argon-for-robotics/
Diligent Robotics: Moxi 2.0 rollout
https://www.diligentrobots.com/blog/diligent-robotics-a-serve-robotics-company-begins-rolling-out-moxi-20
NEURA Robotics: healthcare announcement
https://neura-robotics.com/neura-robotics-brings-physical-ai-to-healthcare/
Sun et al.: autonomous thyroid ultrasound (Nature Partner Journals, Digital Medicine)
https://www.nature.com/articles/s41746-026-03260-7
FDA: OTTAVA classification order
https://www.accessdata.fda.gov/cdrh_docs/pdf25/DEN250068.pdf
J&J: OTTAVA engineering and authorization announcement
https://www.jnj.com/media-center/press-releases/johnson-johnson-receives-fda-market-authorization-in-the-u-s-for-its-ottava-robotic-surgical-system
DARPA: surgical robotics competition
https://www.darpa.mil/news/2026/darpa-competition-surgical
FDA: MELODY remote ultrasound system (2017 background)
https://www.accessdata.fda.gov/cdrh_docs/pdf16/K161354.pdf