Artificial Intelligence Expert

Biomedical data science company | GenAI & XAI for precision healthcare | Digital Twins, Synthetic Data, Multi-omics | EU-funded | AIMedExpert brand 🇷🇴🇪🇺

[Artificial Intelligence Expert @AIMedExpert]

Transilvania Digital Innovation Summit — Oct 8, 2026, Cluj-Napoca 🇷🇴 40+ speakers, AI & digital transformation, public sector innovation, leadership, investment, and matchmaking — all in one day. 📖
🎟️ Tickets: https://t.co/V1zoK7onzD #TransilvaniaDIH #AI #Innovation

[Artificial Intelligence Expert @AIMedExpert]

🔗 https://t.co/KSxROvFbmB

Funded by @EUeic Pathfinder, Horizon Europe GA 101115476 #MiWear #WearableBiosensors #PrecisionHealth

[Artificial Intelligence Expert @AIMedExpert]

MiWear consortium paper is out in @CellCellPress, mid-infrared wearable sensor for metabolic syndrome.

Non-invasive. Continuous. From interstitial fluid in the skin.

AIE leads the AI layer — mid-IR spectral data -> clinically actionable biomarker readings. 🧬

Link in thread👇

[Artificial Intelligence Expert @AIMedExpert]

"Innovation without rigor is dangerous in healthcare — you're dealing with people's lives."

— Dr. Alexandru Floares, CEO of AIE, in our @Insightscare cover feature.

Every model explainable. Every result traceable. festina lente. 🧬

#HealthcareAI #ExplainableAI

[Artificial Intelligence Expert @AIMedExpert]

We're the cover story of @Insightscare Magazine's May 2026 edition on AI-Driven Biomedical Data Analysis Services. 🧬 The feature traces it back to 2000 — when our CEO founded the first AI department of Cluj-Napoca, long before "healthcare AI" was a thing. Full story 🔗 below

[Insights care @Insightscare]

#AlexandruFloares, CEO of @AIMedExpert , a visionary leader driving innovation at the intersection of artificial intelligence and biomedical science.
For more details : https://t.co/rubNj6CrkH
#AIE #AIInnovation #BiomedicalDataAnalysis #AIInHealthcare

[Insights care @Insightscare]

#AlexandruFloares, CEO of @AIMedExpert , a visionary leader driving innovation at the intersection of artificial intelligence and biomedical science.
For more details : https://t.co/rubNj6CrkH
#AIE #AIInnovation #BiomedicalDataAnalysis #AIInHealthcare

[Artificial Intelligence Expert @AIMedExpert]

90 days until the EU AI Act's major enforcement date. If your clinical AI model was built for accuracy but not transparency — no documentation, explainability as afterthought — August 2nd is a problem. Fixable. But not in July. #EUAIAct #ClinicalAI

[Artificial Intelligence Expert @AIMedExpert]

Multi-cancer classifier: 95–99% accuracy. 5 cancer types. 15K+ serum samples. First reaction: what's leaking? Strict splitting. Imbalance handling. SHAP explainability. The number held up. Peer-reviewed and published. #CancerDetection #ClinicalAI

[Artificial Intelligence Expert @AIMedExpert]

Thread: patients with depression, single wearable EEG session before first dose. 556 features computed. Most contributed nothing. Signal lived in non-linear dynamics. https://t.co/DyQusWOCo4

[Artificial Intelligence Expert @AIMedExpert]

556 features from wearable EEG. Less than 3% drove half the predictive power. The features that mattered weren't obvious — traditional spectral power wasn't where the signal lived. More features ≠ more signal. Especially in small clinical datasets. #EEG #OPADE #HealthAI #Horizon

[Artificial Intelligence Expert @AIMedExpert]

"Can you do this with our data?" That's the question we kept hearing. So we built a page that answers it. 4 service areas. Real methods. Validated across 40+ sites in 15+ countries through Horizon Europe. Have a data challenge?

https://t.co/DyQusWOCo4

#BiomedicalAI #HorizonEU

[Artificial Intelligence Expert @AIMedExpert]

"Your model says this patient won't respond. Why?"

If you can't answer that, your model won't be used.

Clinicians reject AI because they need reasoning before changing treatment. Not just hype.

"The neural network said so" isn't reasoning.

EU AI Act is coming. Ready?

[Artificial Intelligence Expert @AIMedExpert]

Your collaborators need your patient data.
GDPR says no.

Synthetic data is one way through — preserve statistical properties, share nothing real.

Easy to say. Hard to do well.

We've been working on this with multi-modal clinical data across EU projects. Details coming 🔒

[Artificial Intelligence Expert @AIMedExpert]

4 hospitals. 4 countries. 4 completely different ways of recording the same clinical data.

Column names don't match. Lab ranges differ. Someone entered age as a date.

Data harmonization isn't preprocessing — it's a research question.

We've spent 3 years building solutions.

[Artificial Intelligence Expert @AIMedExpert]

30-50% of patients don't respond to their first antidepressant.

What if you could know before treatment starts?

We're working on it — wearable EEG, single recording, before the first dose.

The data is messy. The signals are there. 🧠

what 556 brain features taught us, soon.

[Artificial Intelligence Expert @AIMedExpert]

3 years buried in Europe's most complex biomedical datasets:

🧬 789K features → 200 (>4 centers)
🧠 Wearable EEG predicting MDD drug response
🔒 Synthetic data solving GDPR headaches
📊 Biomarkers actually translating to clinic
🤖 Why clinicians don't trust AI (yet)

Follow!

[Artificial Intelligence Expert @AIMedExpert]

@OpadeProject The real challenge wasn't algorithms.

It was harmonizing data that was never designed to be harmonized.

Making sure the model doesn't just memorize one centre's patterns.

More from this work coming soon →

#BiomedicalAI #HorizonEurope #OPADE

[Artificial Intelligence Expert @AIMedExpert]

Hardest problem in clinical ML isn't building the model but making it work across multiple hospitals.

In @OpadeProject, we tackled this: 350 patients, 4 countries, 9 data modalities, 789K features → 200 meaningful ones.

Real-world clinical data is messy. Worth it.🧬

[Artificial Intelligence Expert @AIMedExpert]

We're on X.

Artificial Intelligence Expert — Romanian biomedical data science company. GenAI & Explainable AI for precision healthcare.

4 EU Horizon projects: oncology, mental health, wearables, digital twins.

Follow for what we're learning 🧬 https://t.co/rEzMhyffNr