Dr. Jeffrey GladdenFounder & CEO of Gladden Longevity

AI Could Crack Chronic Disease Faster‼️🤖

30 Aug 2026 · 1 min

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0:46

In this segment of Dr. Jeffrey Gladden's YouTube video, the speaker argues that biological mechanisms underlying chronic disease are finite and can be mapped through known inflammatory pathways. He illustrates how specific genetic factors, such as the presence of the ApoE4 allele, can trigger increased levels of interleukins (IL) in individuals. By aggregating large-scale patient data that includes genetic profiles and inflammatory markers, machine learning and AI can draw powerful inferences, enabling faster identification of disease patterns and potential interventions. The speaker emphasizes the excitement and promise of this data‑driven approach for accelerating chronic disease research.

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We already have tools that can help us address the various issues that we are aware. And you made this point before that I wanted to really agree with, which was that the biological mechanisms are finite, right? So engaging in various inflammatory pathways, like even if, for example, we're able to say, okay, this certain set of pathogens in this particular individual that has ApoE4, for example, and then other genetic traits. Will result in increases in IL. So where you could begin to paint a picture, and then once the machine learning or AI is involved, you can then start to draw inferences if you have large data sets, right? Like if you accumulate enough information about enough people. That's right. So I think it's just a very exciting time.