AI meets MEBO

After a bit of a break since our first podcast back in March, we’re excited to return with a brand new episode for the MEBO and PATM community.

In this video, we’re exploring a big question: Can patients themselves use AI to help uncover potential causes, connections, and treatments for their symptoms?

The episode was generated by NotebookLM, based on our own research and the outputs of multiple large language models answering real questions from patients and researchers about these conditions. It’s a very good discussion overall - balanced, empathetic, and realistic about the challenges - but there are a few small hiccups.

For example, the video says that the paper "Cutaneous Bacteria in the Gut Microbiome as Biomarkers of Systemic Malodor and People Are Allergic to Me (PATM) Conditions" was published in Frontiers in Psychiatry in 2022. In fact, it appeared in JMIR Dermatology, a peer-reviewed journal, but one that isn’t indexed in PubMed - so it often doesn’t register in medical literature searches. Interestingly, when we asked half a dozen more LLMs about this paper, none knew much about it. Some even called it “groundbreaking” or “a beacon” without actually having the details, and a few hallucinated links that don’t exist.

PATM and MEBO are still often misclassified or linked to Olfactory Reference Syndrome, but there is growing recognition that underlying microbial dysbiosis or metabolic disorders may play a role.

Still, the bigger picture is encouraging: LLMs are improving, and that gives hope for people living with under-researched, heterogeneous, and often misunderstood conditions. While this podcast focuses a bit more on social and emotional support than on treatment options, that’s also an essential part of living with these conditions - and it makes this video worth watching.

Let’s dive in and see what AI can - and can’t - offer us right now.

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