🩸AI Blood Test: 15-Second Sepsis Detection Revolution

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AIHealthTech Insider: Issue #69

October 6, 2025

AI in healthcare is moving from prediction to precision. This week, AI designs new antibiotics, decodes cancer at the cell level, and maps your brain’s biological age before symptoms appear showing how intelligent systems are shaping the future of prevention, not just treatment.

^{Summaries for education, not medical advice. Verify locally before clinical use}.

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🧬 Google’s AI Health Coach Takes Shape

Google Research introduced the Personal Health Agent (PHA) - an LLM-powered system combining Fitbit data, biomarkers, and coaching insights.

• Multi-agent setup: data scientist, domain expert, and coach agents

• Analyzes wearable and lab data from 1,200+ participants

• Evaluated across 10 benchmark tasks and 1,100 hours of review

• Outperforms baseline LLMs in personalization and accuracy

A blueprint for modular AI that collaborates like a team of clinicians.

Source: The anatomy of a personal health agent

🧬 AI Designs Thousands of New Antibiotics

AI researchers have generated thousands of promising antibiotic molecules in the fight against superbugs, dramatically speeding up early drug discovery.

• Machine learning models identify new compounds faster than ever

• First round of candidates now headed for lab safety validation

• Hope for overcoming soaring drug-resistance rates worldwide

A bold step forward in AI-driven drug design, but the true test effectiveness and safety in real patients comes next.

Source:https://www.nature.com/articles/d41586-025-03201-6

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🔎 Do You Know?  “Brain Clock” Predicts Your Cognitive Age - And How to Slow It

The latest AI-driven “brain clock” scans can now pinpoint your biological brain age years before any symptoms show up.

• Combines brain imaging and AI to map early signs of neurodegeneration

• Can detect when your brain is “older” or “younger” than your actual age

• Enables tailored recommendations exercise, hobbies, or interventions to keep the brain clock ticking slowly

• Offers hope for early action against cognitive decline

These findings show that creative and social activities protect the brain, and AI helps us measure these effects, enabling personalized methods to keep our minds younger.

Source: https://longevity.technology/news/we-can-map-brain-health-before-decline-begins/

🧬 DOLPHIN AI Uncovers Hundreds of Hidden Cancer Markers

McGill scientists introduced DOLPHIN, an AI tool that dives deep into single-cell data to reveal hidden genetic markers enabling earlier cancer detection and smarter treatment choices.

• Zooms in on exon-level gene splicing for unprecedented detail

• Identified 800+ unseen markers in pancreatic cancer samples

• Differentiates aggressive vs. low-risk tumors for precision care

• Lays groundwork for “virtual cells” that simulate drug responses

DOLPHIN AI signals a new wave in cell-level diagnostics where diseases are decoded before symptoms appear.

Source: https://www.sciencedaily.com/releases/2025/10/251001092206.htm

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💊 AI Maps How a New Antibiotic Targets Gut Bacteria

MIT and McMaster scientists used a generative AI model to reveal how enterololin, a precision antibiotic for Crohn’s disease, attacks harmful E. coli while sparing healthy microbes.

• DiffDock predicts target binding in minutes, not years

• Validated in lab via RNA sequencing and CRISPR tests

• Cuts drug mechanism discovery time from 2 years → 6 months

• Could reshape precision antibiotics and fight resistance

A new era of AI-guided drug discovery fast, focused, and microbiome-safe.

Source: AI maps how a new antibiotic targets gut bacteria | MIT News | Massachusetts Institute of Technology

🩸 AI Blood Test Spots Sepsis and Infection Fast

Scientists clinically validated TriVerity, an AI-powered blood test that diagnoses bacterial or viral infection and predicts sepsis severity right in the ER.

• Measures 29 immune mRNAs using a machine-learning platform

• Delivers three actionable scores: bacterial, viral, and severity— in 30 minutes

• Outperforms CRP, procalcitonin, and white blood cell count (AUROCs: 0.83 for bacteria, 0.91 for virus)

• Flags patients needing critical care with high accuracy (AUROC: 0.78)

• Potential to cut inappropriate antibiotic use by 60–70%

A next-gen diagnostic for real-time infection triage faster, more precise, and smarter for both patients and hospitals.
Source: Clinical validation of an AI-based blood testing device for diagnosis and prognosis of acute infection and sepsis | Nature Medicine

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