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jst/medics

We transform CT DICOM files into interactive 3D anatomical models for surgical planning, simulation, and pre-operative discussion.

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© 2026 jst/medics - JST 3D S.r.l. - cf/p.iva 04066390123

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Our Team

The people behindprecision surgical planning

jst/medics was founded to bridge the gap between advanced medical imaging and the operating room. Our team combines deep learning expertise with clinical insight to build tools that surgeons trust.

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Founding Team

The people building jst/medics — from algorithm to operating room.

Giacomo Gaglione

CEO & AI Engineer

Academic background in engineering with managerial experience in strategic consultancy, specializing in cloud computing, machine learning, and AI applied to production processes. Giacomo leads operations at JST 3D, focusing on algorithm development, cloud architecture, and AI infrastructure.

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Simone Macchi

CFO

Academic and professional background in economics and finance, with experience in both public and private sectors spanning financial analysis and macroeconomic forecasting. Simone leads JST 3D's funding strategy, financial management, investor relations, and internationalization.

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Alberto Regalia

Legal Adviser

Company lawyer with research experience in the legal aspects of technological innovation in healthcare. Alberto advises JST 3D on GDPR and AI Act compliance, privacy regulation, and manages relations with regulators and university partners.

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External Partners

Academics and specialists who guide our research and technical development.

Prof. Rossella Pozzi

Advisor AI & Machine Learning — LIUC University

External advisor with expertise in machine learning and convolutional neural network (CNN) technologies. Prof. Pozzi advises JST 3D's AI engineer on AI infrastructure modeling and statistical analysis.

Università degli Studi dell'Insubria

DiMIT — Research Partnership

Scientific collaboration with the Department of Medicine and Technological Innovation (DiMIT) for the AI-TC 3D study: development and validation of AI-based 3D reconstruction from anonymized CT and MRI DICOM images. Coordinating center with clinical units in General Surgery, Urology, and Radiology at ASST dei Sette Laghi, Varese. Principal investigator: Prof. Giulio Carcano.

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What Drives Us

The principles that guide every model we deliver.

Clinical Rigor

Every 3D model is validated against the source CT by trained operators. We never sacrifice accuracy for speed.

Patient Safety

Our models are decision-support tools, not diagnostic devices. We clearly communicate capabilities and limitations to every surgeon.

Data Privacy

GDPR-compliant by design. Patient data is encrypted in transit and at rest, processed in EU data centers, and never shared with third parties.

Have a CT case to evaluate?

Request a 3D anatomical reconstruction from DICOM files to support surgical planning, simulation, and pre-operative discussion.

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