About Us
This project is important for the university because it allows the realization of a predictive and preventive model using AI. The construction of prediction models involves the use of data sets of individuals with known results and the application of the developed model to predict the results for future individuals. Modeling can help identify important risk factors and provide reasonable estimates of the future course of a disease.
Data collection and processing involves several stages:
Data collected by various means may have a different structure or format, even if it refers to the same sizes of interest.
Current devices and gadgets, with interfaces and communication capabilities, are an important source of data. Unfortunately, this data is not presented in a standardized format, which leads to difficulties when it comes to using it in an integrated form.
The impossibility of standardizing this data in a short time leads to the need of resorting to innovative solutions for conditioning, filtering and statistical data processing.
An important challenge is extracting the useful information and eliminating a wide variety of disturbances that interfere with the data collected.
AI provides a feasible solution that can respond to the above challenges, as is the case in many other areas. This is possible via the technology transfer provided by the partner within this project.
Although specialized literature and technical reports feature many successful solutions, specialists in the field are a scarce resource.
The solution to this problem is teaching and accustoming trainers with new methods of AI data processing.
Years-long experience plays an important role in selecting such a partner. Using AI is the key to intelligent analysis of larger volumes of data.
The implementation of AI data processing techniques allows both university teachers and students to make predictive models that are very important in personalized medicine.
Deep learning
Machine learning
Natural language processing
Obiectives
By developing new skills for both trainers and students, the occupancy in the labour market will increase. This will also be achieved by developing more comprehensive studies using AI for data processing. This allows teachers who want to apply this innovative method to have the opportunity to learn and use data processing with AI. This new method would lead to the professional development of teachers so necessary in the university field, improvement that will be transmitted to students in the courses.
Activities
The following activities were carried out by the project:
Activity 1 - TPM 1
OSLO MEETING
Oslo Date: 27-30 october 2022
This activity was carried out at the headquarters of Sintef Oslo partner.
Activity 2 - Seminar
Seminar C1 Date: 27 January 2023
The use of medical data processing techniques and the use of AI to obtain relevant results in research.
Activity 3 - Multiplier event
Use of AI in medical data processing
Multiplier event M1 Date: 22 February 2023
Presentation of the intellectual product for stakeholders.
Outputs
The project provides for the achievement of the following results:
O1 Course - English
Course competencies:
Medical data processing using programs that use AI (MatLab).
Obtaining quick results from databases by applying data filtering methods.
Carrying out all stages of processing (data cleaning, filtering) of medical data prior to AI applications.
Course objectives:
The possibility of processing medical data based on the knowledge gained after the course.
Identifying vulnerabilities in the collection of medical data.
O1 Course - Romana
Competente curs:
Prelucrarea datelor medicale folosind programe care utilizeaza AI (MatLab).
Obtinera de rezultate rapide din bazele de date prin aplicarea metodelor de filtrare a datelor.
Efectuarea tuturor etapelor de prelucrare (curatarea datelor, filtrare) a datelor medicale premergatoare aplicari AI.
Obiectivele cursului:
Posibilitatea prelucrari datele medicale pe baza cunostintelor dobandite in urma cursului.
Identificarea vulnerabilitati in colectatea datelor medicale.
O2 Guide
O3 Articles
Contact Us
Contact
George Emil Palade University of Medicine, Pharmacy, Science and Technology of Targu Mures
Location:
38 Gheorghe Marinescu Street, Targu Mureș, 540142, ROMANIA
Disclaimer:
Material made with the financial support of the EEA Financial Mechanism 2014 - 2021. Its content (text, photos, video) does not reflect the official opinion of the Program Operator, the National Contact Point or the Office of the Financial Mechanism. The information and opinions expressed are the sole responsibility of the author(s).