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- 🧠 AI Detects Parkinson’s From Earwax — 94% Accuracy Proven: Issue #59
🧠 AI Detects Parkinson’s From Earwax — 94% Accuracy Proven: Issue #59
Smarter screening starts with a swab.
AIHealthTech Insider: Issue #59
July 28, 2025
This week’s breakthroughs include scent-based AI that detects Parkinson’s from earwax with 94% accuracy, AI-powered retinal scans replacing invasive tests, and new tools predicting tumor aggressiveness before it spreads. From hyperspectral surgical vision without hardware upgrades to $10M funding for proactive AI healthcare—this edition is your fast-track to the future of medicine.
AI Detects Parkinson’s From Earwax With 94% Accuracy
Researchers in China introduced a scent-based AI diagnostic tool that analyzes volatile compounds in earwax to detect Parkinson’s disease. The system demonstrated 94% accuracy and could enable:
Low-cost, non-invasive screening via simple ear swabs
Olfactory AI model trained on disease-specific VOC signatures
Identification of biomarkers linked to neurodegeneration and inflammation
Potential deployment as a first-line diagnostic tool before motor symptoms emerge
Developed using gas chromatography and mass spectrometry on 209 samples, the model outperforms traditional symptom scales and imaging. With further multicenter validation, it could transform early detection and care for Parkinson’s globally.
AI Measures Tumor ‘Stemness’ to Predict Cancer Aggressiveness
Brazilian and Polish researchers developed a proteomics-based AI model that estimates tumor aggressiveness using a stemness index. It detects:
How closely cancer cells resemble stem cells
Likelihood of drug resistance and recurrence
Key proteins that influence disease progression
Validated across 11 cancer types, the tool helps personalize treatment and identify new therapeutic targets, reshaping clinical oncology.
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AI Retinal Scans Detect Disease Before Symptoms
South Korea–based startup Mediwhale introduced a retinal imaging tool that replaces blood tests and CT scans for early detection. It analyzes:
Cardiovascular, kidney, and eye risks
Illnesses with no early symptoms
Overall health indicators through retinal shape and density
Already used in hospitals in Dubai, Italy, and Malaysia, it’s revolutionizing front-line preventive care.
Everlab Raises $10M to Scale AI Preventive Healthcare
Melbourne-based startup Everlab secured $10M to expand its AI-powered health platform focused on early disease detection. It offers:
Comprehensive diagnostic services like MRIs, ECG, and blood panels
Personalized health plans from continuous biomarker tracking
AI agents that summarize data and recommend next steps
Already serving thousands, Everlab is redefining preventive care with scalable, real-time insights embedded into existing medical systems.
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AI Enhances Surgical Vision Without Hardware Upgrade
Imperial and UCL spinout EnAcuity developed AI software that transforms standard laparoscopic cameras into hyperspectral-style systems, enabling enhanced surgical vision through image processing alone.
It reveals:
Tissue perfusion and vascular details invisible to the naked eye
Multispectral signatures for safer, more accurate procedures
Critical anatomical structures to reduce intraoperative risks
Now backed by a £300K Innovate UK Smart Grant, the system is being clinically validated on surgical footage from Imperial College Healthcare NHS Trust. A previous £1.28M investment supported trials in colorectal and gallbladder surgery.
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🧠 Would You Trust AI to Diagnose You from a Drop of Blood or a Swab?
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