- Win-TPS - Tools and methods towards the exploitation of a cyclotron-based hadrontherapy facility.
Hadrontherapy aims at treating cancers by irradiating tumor cells with protons or light ions (carbon), offering increased precision and significant biological gain on specific tumor cases.
IBA is designing a new machine capable of treating patients with protons and carbon ions. This technical programme must be completed by additional research activities to provide the tools needed to compute the treatment parameters, and to perform the necessary quality checks before delivering the radiation to the patients. The contributions brought through WinTPS include: The development of an absolute dosimeter, to be used as a primary reference for the conventional dosimetry tools to be used on any hadrontherapy centre; Methodological support to guarantee that the treatment planning software (developed by IBA in collaboration with Italian research labs) rely on a robust architecture and follow the appropriate quality standards; Radiobiology experiments that will accumulate sets of measured data to benchmark the radiobiological models implemented in the planning software; The development of an optimization library based on powerful algorithms, that will speed up the computation of treatment plans and enhance their intrinsic qualities and matching with equipment parameters.
- Mirror - Medical Ressource Real-Time Optimizer.
The project was born from interactions between members of the young PALANTIRIS company and IBA, both companies facing the limitations of traditional workflow management techniques when it comes to orchestrate complex processes in a hospital service. Such processes involve numerous shared resources (rooms, diagnostics, treatment equipment, …) within strict timing constraints and in a highly dynamic environment. The final objective of the project is to elaborate an intelligent software tool capable of dynamically optimizing the priority of activities and the allocation of these shared resources. In a first phase, the proposed solution will capture events from any stage of the modeled workflows, this information will be translated into meaningful indicators to be monitored in real-time by the medical staff. In the second and third phases, the software will progressively incorporate real-time optimization algorithms proposing intelligent scheduling alternatives. In the context of MIRROR, this solution will be prototyped on Particle Therapy and Nuclear Medicine cases.
- Smart - Statistical Monitoring Applied to Research Trials.
While detection of deliberate (fraud) or unintentional errors concern at the highest point pharmaceutical and biotechnology companies, there is currently no integrated and automated system to monitor the quality of data based on statistical tests and techniques of artificial intelligence or data mining. IDDI is a pioneer in the field, developing and validating an automated system for monitoring and statistical control of data quality of clinical trials, primarily based on multiple statistical tests whose results can be exploited by data mining tools and artificial intelligence – not only to detect anomalies in data due to errors, but also negligence and fraud – some of which potentially leading to devastating results. This methodology and software will meet the critical requirements of Sponsors on clinical trial data by: reducing the risks of a submission to regulatory agencies (FDA, EMA) with a quality label on the final data of the clinical trials; reducing the time to study analysis and the cost of clinical trials by optimizing on-site monitoring and labour-intensive data verification.