Get in touch with usOur revolutionary software is a tool that separates cancerous tumours and organs at risk with the help of Artificial Intelligence.
Up to 95% of time saved in contouring
Solution based on Artificial Intelligence
Supports Windows (7+) and MacOS (10.14+)
High quality standards that help increase performance
Mediq reduces the contouring time by up to 95%. This will decrease the time between diagnosis and treatment, increasing the survival rate of the patients.
Mediq has higher accuracy and objectivity than manual contouring while being less prone to errors.
Mediq compensates for the lack of medical staff by allowing clinics to treat more patients with the same number of radiation oncologists.
Mediq software runs this process automatically, allowing doctors to treat more patients.
Using Deep Learning pipelines for aiding the diagnosis process
Bringing the latest technology advancements closer to healthcare
Brining the latest innovations in research closer to the industry
With our collective intelligence and deviceful spirit, we deliver the best AI-based solutions for enhancing the quality of the healthcare industry.
Mediq reduces the time needed to elaborate on a treatment plan by using Artificial Intelligence to detect tumors from CT and MRI scans
Allow doctors to communicate effectively by using a centralized platform and speeding up their work using our pipeline
A doctor using the aid of Deep Learning models will achieve the same level of expertise faster than a doctor using only traditional methods
Mediq continues to learn even after it is deployed
Doctors can adjust Mediq's delineations and it will learn the new contouring style
Our state-of-the-art architectures enable robust and high accuracy delineation
We use our unique blend of expertise in the fields of AI, medicine, and business to shape the future of radiotherapy.
Machine Learning expert, awarded Physicist and passionate Researcher, Dragoș graduated Chief of Physics promotion following a Master in Computational Physics at Heidelberg University.
He designed AI algorithms at National Center for Tumor Diseases and German Cancer Research Institute. At Synaptiq, he plans to use his knowledge for revolutionizing the Healthcare Industry.
Logical thinker and lover of coordination Roxana graduated Bachelor’s and Master’s Degree in Economics. Willing to understand each domain from medicine to economics and to automation she loves to meet highly skilled people and to discuss evolution.
Her affinity for economics combined with technological curiosities and also the experience with financial consulting motivates her to support Synaptiq’s quest for innovation.
Well-versed in planning, advertising and organizing large-scale educational and corporate affairs, Diana graduated Bachelor and Master’s degree in Business Administration.
She worked for 3 years as an HR Analyst also contributing to the marketing strategies of the company. With her experience gained so far Diana will bring all the knowledge to develop Synaptiq’s branding and culture while making our vision known.
AI enthusiast, experienced Developer and skillful Data Scientist, Mihai obtained a Bachelor’s degree in Computer Engineering, and since was involved in multiple research projects.
He plans to use his passion for Artificial Intelligence at Synaptiq to solve everyday problems and improve the quality of our lives.
Driven by his passion for AI and ambition to understand the human mind, Dragos obtained a Bachelor’s degree in Computer Science and a Master’s degree in Artificial Intelligence at University of Amsterdam.
He worked as an AI researcher in the Radiotherapy department at VUMC Amsterdam Cancer Research Institute. He plans to use his knowledge and experience to improve the quality of medical services through Synaptiq.
An experienced researcher, Marius completed his PhD in AI at University of Alberta, following a Master in AI at University of Edinburgh and a Master applying ML for the Faculty of Physics, University of Bucharest.
He is currently involved in several ML projects at the Polytechnic University of Bucharest and has collaborated with companies such as Infineon and Creative Assembly. He is a passionate problem-solver and plans to use his professional expertise at Synaptiq to design high-quality and robust solutions for pressing healthcare challenges.
Lucian graduated M.Sc. in Artificial Intelligence, and is now pursuing a PhD program in Machine Learning. He is passionate about solving real-life problems and providing efficient and reliable solutions.
At Synaptiq, he is determined to come up with innovative approaches to enhance the Med-Tech industry, and ultimately the everyday well-being of people around the world.
Adrian holds a Medical degree in General Medicine from the Faculty of Medicine “Carol Davila” Bucharest and obtained a Golden Medal at EUSO (European Union Science Olympiad, 2012, Vilnius, Lithuania).
Bogdan has a medical degree in General Medicine from The Faculty of Medicine in Bucharest. He has over 3 years of experience in Radiotherapy and more than one year of experience as a medical consultant in AI.
Cristina has a Bachelor’s degree in General Medicine from the “Iuliu Hatieganu” University in Cluj-Napoca, Romania. She is a Resident Doctor specialised in Radiation Oncology and has over 1.5 years of experience as a Medical Consultant in the AI field.
Razvan is a specialist in radiation oncology and has over 4 years of experience in contouring.
Remus is the lead of our medical team. He has a Bachelor’s degree in General Medicine, over 5 years experience as a radiation oncologist and more than 2 years of experience as a medical consultant (annotation process) in the HealthTech start-up environment.
Oana is our compliance expert and has over 9 years of experience in the Medical Devices and Pharma industry. She is a Certified Lead Auditor MedDev ISO 19011, ISO 13485, FDA QSReg, CMDR, MDD, jPMD and hold a Bachelor’s Degree in Pharmacy and a Master’s Degree in Pharmacovigilance and Drug Safety .
Even though Mediq is used by radiation oncologists, cancer patients are the ultimate beneficiaries.
State-of-the-art solution
More patients treated and increased efficiency
Time-saving and complexity reduction
Objective and robust treatment planning
Interested in working together or simply hearing more? Send us a note and we’ll get back to you.
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