The development of 4iG Plc.'s medical diagnostic system was completed, marking a significant step toward integrating genomic research intoclinical practice. The company has developed a comprehensive medical diagnostic system within the framework of a successful grant awarded by the National Research, Development and Innovation Office of Hungary. Utilizing patient's validated genetic samples the software assists healthcare professionals in establishing accurate, fast, and personalised diagnosis while improving prevention and the efficiency of healthcare services. The new software environment supports genetics-based diagnostics by facilitating and simplifying the management and analysis of the vast data generated by next-generation genome sequencing.
With modern genomic testing, diagnostic specialists and researchers can more accurately identify hereditary diseases and predispositions, as well as analyse family medical histories by comparing the human genome with a database containing known genetic markers of diseases. 4iG Plc.'s software simplifies and accelerates molecular diagnostic processes, including data integration, process management, record-keeping, and the application of diagnostic methods. The software environment enhanced with innovative analysis methodologies, machine learning, and artificial intelligence, provides a unified platform for genetic assessments. It is capable of handling large-scale data extracted from genetic samples, automating result interpretation, and accurately identifying hereditary diseases efficiently. The software saves time for healthcare professionals and enhances the reliability of diagnoses.
As a result of the research and development process initiated in 2019, a medical diagnostic tool supporting evaluation of genetic analysis has been created. Through innovation in the healthcare sector, 4iG Plc. strengthens Hungary’s position at the forefront of genomic research and development.
The project identified as ’2019-1.1.1-PIACI-KFI-2019-00308’ was implemented with the support of the National Research, Development and Innovation Fund of Hungary within the framework of the ‘Market-driven research, development and innovation projects support’ program.
