According to Aruoja, sTARTUp Day is a good opportunity for the university to find collaborators in the start-up ecosystem. "The booth was visited by people ranging from high school students to foreign business support organisations and investors. We had a long chat with KTH Innovation representatives and plan to meet them again soon to exchange experiences," Aruoja said.

The TalTech seminar, which attracted a large crowd, focused on the use of artificial intelligence and big data in healthcare. According to Toomas Klement, a PhD student and junior researcher at the TalTech Institute of Software Science, one of the main bottlenecks is that the risk of cyber defence rises sharply when health data is centralised in one place. The solution could be a software-generated key that binds fragmented data into meaningful information.

Peeter Ross, professor and radiologist at the Centre for e-Medicine, pointed out that doctors are not primarily interested in artificial intelligence or different IT solutions. "When we create digital solutions for healthcare, we need to understand the problem we are solving for patients, what technology can do for them," Ross said. "We also need to look at the maturity of the technology, whether the algorithms we have created are working properly and are doing what we expect them to do."

Elli Valla, a PhD junior researcher at the Institute of Software Science, found that the use of artificial intelligence in healthcare, especially in diagnostics, not only saves time but also increases the accuracy and accessibility of healthcare services. "A good example is the early diagnosis of Parkinson's disease," explained Valla. "We're training artificial intelligence, which, in combination with a smart device, could revolutionise the way we detect and monitor this disease."

Diagnosing Parkinson's disease usually requires several appointments with a doctor, which can be time-consuming or even difficult to arrange. This is how an artificial intelligence solution is being developed, which will allow patients to perform certain tasks or tests at home using their smart devices. "The devices are able to collect data on fine motor skills and other relevant information, which our AI solution analyses to detect early signs of Parkinson's disease," explained Valla. "This approach not only makes diagnostic processes more accessible but also allows for continuous monitoring of a patient’s condition. This can significantly shorten the time to diagnosis, allowing earlier intervention and potentially slowing down the progression of the disease."

Tallinn University of Technology was also a co-organiser of the DeepEST Forum. TalTech technology transfer expert Rainis Venta, who gave a presentation at the event, spoke in a comprehensive and engaging way about how licensing policy for publicly funded research should be part of a broader, at least national, science-based economic strategy. He also pointed out that universities need help and cooperation from both private and public sector colleagues. "We need to overcome the confrontation between universities and other members of the ecosystem," said Venta.

By the time the DeepEST Forum ended, the second event co-organised by TalTech had begun – the Researchers and Businesses Day. More than 70 people attended. Researchers were divided into table groups, with entrepreneurs going from table to table and chatting to each researcher for five minutes. Jana Holmar, Director of the Institute of Health Technologies at TalTech, noted that the spirit of cooperation was great. "Businesses received more detailed information on the activities of the researchers and also a signal that universities are willing to cooperate. Researchers got an idea of what companies in the sector are doing and where they most need support and cooperation," Holmar said. In addition, representatives of the public sector were in attendance to present various support measures to promote cooperation between businesses and universities.