Vision

Lumiares believes in the adoption of software, data and AI to reach new standards in Health Care, with a special focus on preventive, personalised and more sustainable care.

Mission

We foster health tech innovations for clinicians and patients with specific emphasis on better, faster and more accurate outcomes at lower cost.

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The Lumiares Method

Lumiares proactively pursues the most promising digital health opportunities which it funds and supports from the incubation phase onwards. In addition to its internal team, it leverages a strong network of external clinical, technological and business experts to validate innovative digital health solutions and accelerate their time-to-market. Lumiares helps them develop a strong value proposition and scalable business model with clear benefits to patients, care givers and payers.

Team

The Lumiares core team consists of Jean-Briac Prévost (radiotherapist/oncologist), Gregor Strobbe (Successful founder of Epilog.care), Silke Van Gheluwe (community manager, marketing & communications, startup support), Filip Vandamme (incubation, venture capital and M&A expert) and Jurgen Van Broeck (global healthcare executive).

Jean-Briac Prévost

Founding Partner

Gregor Strobbe

Founding Partner

Silke Van Gheluwe

Community management

Filip Vandamme

Managing Partner

Jurgen Van Broeck

Partner

Our portfolio

AI-optimization of PET-CT images in oncology to reduce radioactive tracer dose and/or scan time.

Selected by Imec istart

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AI-optimization of PET-CT images in oncology to reduce radioactive tracer dose and/or scan time.

Selected by Imec istart

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Development of digital daily activity biomarkers for Parkinson's disease to advance quality of life and efficiency of care.

Selected by Imec istart

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Supported by Vlaio

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Development of digital daily activity biomarkers for Parkinson's disease to advance quality of life and efficiency of care.

Selected by Imec istart

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Supported by Vlaio

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Transparent AI solutions for computational pathology, with a special focus on tissue-based diagnostics and prognostics.

Transparent AI solutions for computational pathology, with a special focus on tissue-based diagnostics and prognostics.

Interested?

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Incubation project in mind or startup looking for funding?

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