Month: November 2023

iHelp System Launch – Plovdiv – 24 November 2023

Teams from the Bulgarian companies Kodar, DS4 and from the Medical University Plovdiv (MUP) organised an event at MUP to roll out the prototype developed on the EU-funded project iHelp to the Plovdiv pilot.  They provided a demo of the iHelp system to a number of medical specialists.  The project uses advanced AI and decision support techniques to analyse health-related data of individuals in order to provide early identification and mitigation of the risks associated with Pancreatic Cancer.  Presenting the project ideas to the medical specialists from MUP  was a very important step to gather feedback from them and to thus ensure the success of iHelp.

The demo was followed by a lengthy and fruitful discussion which confirmed the growing interest in the system and its exciting potential.

Like most events these days, this was a hybrid event; a number of busy professionals joined the event online; the important thing was that everyone’s comments and recommendations were heard and noted.

MUP is now ready to start with recruiting patients for the pilot who will be monitored. The iHelp technical teams are at hand to provide support every step of the way.

Thank you guys for working so hard for this event, and especially Rosti, Yancho, Pencho, Diana, Ainhoa, Pavlos, Rafa, Aristodemos, Giorgos and George!

AI in Action – Manchester – November 2023

Our Project Manager Petia Nikolova had the opportunity to attend this hugely popular event, as the photo below demonstrates; the second photo shows Petia receiving some financial advice during her Human-Machine conversation.  This was just one of the many examples that the participants experienced on the evening. Thank you Slalom for organising this wonderful event and the inspiring speeches. There is quite rightly a lot of worries over the risks from AI, however you pointed out and showcased the enormous advantages and potential for AI to help individuals, businesses and our societies.

Digisys4.0 is proud to work currently on the following 3 European-funded projects that involve AI and analytics:

  •  iHelp – the project uses advance AI techniques  to develop predictive models in identifying the risks associated with Pancreatic Cancer and to develop adaptive models for targeted prevention and intervention measures. 
  • RoBétArmé  – the project uses AI-based methods and techniques to deliver a human-robot collaborative construction system for the automation of shotcrete and assist humans working in dangerous working conditions.
  • MobiSpaces – the project uses AI technology to process and analyse vast quantities of data to predict trajectories of ships, predict malfunctions of electric vehicles and identify measures to reduce noise and improve air pollution from traffic.