🧠 When an Algorithm Flags Your Cancer First

Inside: Real cases where AI picked up tumors that clinicians nearly missed

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AIHealthTech Insider: Issue #79

December 15, 2025

This issue explores practical advances in clinical AI and digital health, including nutraceutical strategies for glioblastoma, AI-guided vaccine targets, FDA-cleared digital therapeutics for ADHD, noninvasive glucose monitoring, early dementia detection, and health AI deployment in Africa. It highlights the transition of AI and data-driven tools from research to care, impacting clinicians, health systems, and policymakers.

Summaries are for education, not medical advice. Always verify locally before clinical use.

A small clinical study found that a low-cost nutraceutical combination of resveratrol and copper significantly reduced tumor aggressiveness in glioblastoma patients. The approach works by neutralizing inflammatory DNA fragments released from dying cancer cells, leading to lower cancer markers, immune checkpoints, and stem-cell signals all without reported side effects.

Image Source: Ideogram/AIHealthTech Insider

Why it matters

  • Challenges the ā€œkill the tumorā€ paradigm with a tumor-healing strategy

  • Reduces multiple cancer hallmarks, immune checkpoints, and stem-cell markers

  • Offers a non-toxic, inexpensive adjunct to existing brain cancer treatments

Limitation: small-sample, early-stage

Researchers used AI to identify a previously overlooked monkeypox surface protein (OPG153) that triggers strong neutralizing antibodies. When tested as a vaccine antigen in mice, the protein produced a potent immune response, pointing to simpler, more targeted mpox and smallpox vaccines than current whole-virus approaches.

Image Source: Ideogram/AIHealthTech Insider

Why it matters

  • Reveals a single-protein vaccine target that’s easier and cheaper to manufacture

  • Uses AI (AlphaFold 3) to dramatically accelerate antigen discovery

  • Enables next-generation mpox and smallpox vaccines without live viruses

  • Demonstrates how AI-driven ā€œreverse vaccinologyā€ can reshape vaccine design

So What: For clinicians, potential impact on future outbreak responses

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Lumosity has launched LumosityRx, an FDA-cleared prescription digital therapeutic for adults with ADHD, translating nearly two decades of cognitive training science into a clinically validated treatment option for attention improvement.

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Why it matters

  • Expands ADHD treatment beyond medication with an evidence-based digital option

  • Backed by a large randomized controlled trial (560 adults across 13 clinical sites)

  • Demonstrated statistically significant gains in sustained and selective attention (TOVAĀ®)

  • Showed clinician-rated improvement and quality-of-life benefits with minimal side effects

LumosityRx delivers a personalized, adaptive training program (~15 minutes/day) using 13 targeted cognitive exercises. The FDA clearance marks a major milestone for prescription digital therapeutics, signaling how consumer cognitive science platforms can evolve into regulated clinical treatments.

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MIT researchers have unveiled a shoebox-sized, light-based glucose monitoring device that measures blood glucose directly through the skin in under a minute—without finger pricks or implanted sensors. Using band-pass Raman spectroscopy (BRS), the system isolates glucose’s molecular signature with just a few optical bands, avoiding complex AI-heavy models while delivering accuracy comparable to today’s invasive CGMs.

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Why it matters

  • Enables truly noninvasive, point-of-care glucose monitoring

  • Reduces reliance on finger pricks and under-the-skin sensors

  • Compact, low-cost design avoids full-spectrum optics and heavy AI

  • Early results closely match commercial CGMs in pilot testing

A large clinical trial demonstrates that a fully digital AI approach, using patient-reported cognitive surveys and an NLP-based EHR algorithm, can boost early detection of Alzheimer’s and related dementias in primary care by ~31% within 12 months without additional costs or resources.

Image Source: JAMA Network

Why it matters

  • Enables scalable, zero-burden dementia screening in primary care

  • Leverages EHR data + patient input to catch cases often missed

  • Improves equity by identifying at-risk patients earlier across populations

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Google Research supported an Africa-wide Data Science for Health Ideathon, enabling researchers to apply open health AI models to real-world challenges like cervical cancer screening and maternal health. Using MedGemma, MedSigLIP, and TxGemma, teams created scalable solutions validated through mentorship, compute support, and expert review.

Image Source: Google

Why it matters

  • Translates open health AI models into real clinical workflows

  • Enables low-connectivity, multilingual healthcare solutions

  • Empowers local teams to solve local health priorities

  • Demonstrates scalable AI-for-health collaboration beyond labs

šŸ’” Poll: Health Data & AI Development

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Hit reply with which study you’d pilot first in your hospital.

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