Pioneering epilepsy monitoring technology advances in Converge Challenge

​ A Glasgow Caledonian University cutting-edge research project, spearheaded by Professor Hadi Larijani, has been selected for stage one of the prestigious Converge Challenge, a platform that supports Scotland's most innovative entrepreneurial endeavours.

The project, led by Professor Larijani, Director of the University's SMART Technology Research Centre, aims to develop a wearable device that utilises artificial intelligence (AI) to monitor patients for epileptic seizures. By analysing historical data, Professor Larijani's team has trained AI software to identify potential seizures, enabling the headset to simultaneously monitor multiple patients, thus improving diagnostic accuracy and efficiency.

If successful, this ground-breaking innovation could significantly enhance patient care not only in Scotland but also globally, providing a much-needed breakthrough in the field of epilepsy management.

The Converge Challenge supports innovative thinkers on their entrepreneurial journey, offering tools, guidance, roadmaps, networks, and funding to help their ideas grow and thrive.

Applications for the Converge Challenge are rigorously evaluated based on their growth and innovation potential, with successful applicants demonstrating their prospective business's competitive advantage, market potential, and expected team and resources.

The challenge is divided into four stages spanning six months, commencing with applications opening in January and undergoing evaluation by a panel of university representatives.

Successful applicants, including Professor Larijani's project, will gain access to online, on-demand training modules. They will also be invited to attend a one-day, in-person regional training session during the week commencing May 27, followed by intensive business training and pitching in Edinburgh from June 3 to 5.

After completing the training, participants will be equipped with the necessary tools to prepare a business plan, financial forecast, and a one-minute video pitch, all of which will be assessed by a panel of university representatives.

Shortlisted finalists will receive further training during the week commencing September 9 and will have the opportunity to pitch their ideas live to a panel of investors and business experts on September 19 and 20. The winners will be announced at the annual Converge Awards ceremony on October 3.

Professor Larijani said: “Our pioneering epilepsy monitoring technology has already garnered significant attention, and its acceptance into the Converge Challenge represents a significant milestone in the project's journey towards potential commercialisation and real-world impact.”