MedTech Accelerator 2026

The Team
Aude Cordemans, Founder & CEO/CFO

The Problem
Today’s approach to paediatric care management is fragmented and outdated. Parents rely on paper booklets and scattered tools to manage  their children’s health, while doctors struggle to access up-to-date, complete information in a timely manner. This leads to delays, increases mental and administrative burden, and ultimately shifts focus away from what matters most – the child’s wellbeing.

The Solution
BE PARENT is a secure, patient-centric SaaS that makes children health data truly accessible and actionable for both parents and medical practitioners. By centralising and digitising a child’s health journey, we transform fragmented data into real-time, clinically actionable insights. Through personalised care plans, predictive diagnostics and remote monitoring, BE PARENT empowers caregivers to make faster, better-informed decisions – so every child receives the care they need, exactly when they need it.

The Team
Angel Sole Morillo, PhD
Joan Lambert Cause, PhD
Johan Stiens, Academic Supervisor
Bruno da Silva, Academic Supervisor

The Problem
Pulse oximeters, widely used to measure oxygen saturation (SpO2), function less accurately on patients with dark skin, often overestimate SpO2, and miss critical hypoxemia events. This bias has been a known issue for decades, leading to preventable deaths, particularly during the COVID-19 pandemic. Addressing this inaccuracy has become an FDA priority.

The Solution
We are developing a next-generation pulse oximeter that eliminates skin-tone biases through adaptive calibration methods. Our technology ensures accurate readings across all skin tones without requiring additional equipment or complex adjustments, improving patient safety and clinical decision-making.

The Team
Abel Díaz Berenguer, Lead AI/ML Research Engineer
Hichem Sahli, Principal Scientist
Nikos Deligiannis, Senior Scientist
Koenraad Nieboer, Lead Medical Expert
Arne Pauwels, Business Growth Mentor

The Problem
Pulmonary Embolism (PE) is a leading cause of cardiovascular death, with up to 30% mortality if undiagnosed. Current PE management tools focus on detection via imaging but fail to integrate multimodal data—such as electronic health records (EHR)—for prognosis, risk assessment, and long-term patient care. This lack of integration limits diagnostic accuracy and treatment efficiency.

The Solution
Our AI-powered Clinical Decision Support System (CDSS) enhances PE management by combining imaging, EHR, and predictive analytics. It offers dynamic risk stratification, prognosis insights, and treatment guidance, optimizing patient outcomes while reducing hospital burden and healthcare costs.

THE TEAM
Hafez Jafari, Project lead
Armin Shavandi, Scientific advisor
Amir Salar Malekmohammadinouri, Researcher

THE PROBLEM
The core health-related problem we address is the inefficiency and poor accuracy of current drug testing methods and lack of personalized treatments. Current bioinks, although biocompatible, are predominantly animal-derived, raising ethical concerns, or synthetic, lacking inherent biofunctionality.

THE SOLUTION
Our innovative biomaterial platform introduces a non-animal-derived bioink , offering intrinsic bioactivities (antibacterial, antioxidant, anti-inflammatory), sustainability, and streamlined regulatory approval. Additionally, we developed a uniquely photo-cleavable, natural-based sacrificial (support) ink enabling precise fabrication and easy removal under gentle visible-light conditions, facilitating the creation of highly complex tissue structures and advancing the development of functional in-vivo-like organs and personalized medicine applications.

The Team
Amin Khorasani, PhD Researcher
Louis Heiremans, Research & Innovation Manager

The Problem
Gene therapy injections for eye diseases require high precision, yet existing robotic solutions are designed for clinical use rather than preclinical research in small animal models. The lack of adaptable, perception-driven control limits research progress.

The Solution
We develop robotic-assisted injection technology optimized for preclinical gene therapy research. By enhancing precision and adaptability, our system improves the safety and accuracy of ophthalmic procedures, paving the way for better therapeutic outcomes in both research and clinical settings.

The Team
Sahar Serajian, Founder
Shadmehr Ghorbani, AI Specialist
Negin Bagheri, Researcher
Yagmur Mohammadi, Nutritionist

The Problem
Micronutrient deficiencies, also known as the “hidden hunger,” persist despite adequate caloric intake, leading to weakened immunity, cognitive impairment, and chronic diseases. Existing diagnostic methods are either invasive or unreliable, and are driven by commercial interests rather than science-backed recommendations.

The Solution
SuppLifyLab is an AI-powered platform that provides personalized, non-invasive supplement recommendations. By analyzing health data, diet, and risk factors through a validated digital questionnaire, our tool delivers science-backed guidance to consumers and pharmacists, making supplementation safer, more effective, and more accessible.

website: https://supplifylab.com

The Team
Henri Haelterman, Business Developer
Marc Haelterman, Technical Expert

The Problem
Prolonged neck flexion from activities like screen use, manual work, and reading causes musculoskeletal pain and long-term spinal damage. Existing ergonomic solutions are impractical, uncomfortable, or ineffective, limiting their adoption.

The Solution
Our innovative glasses eliminate harmful neck flexion by optimizing visual field deflection in a comfortable, ergonomic design. A preliminary study confirms the device’s usability and benefits, offering a practical solution for reducing neck strain in everyday activities.