The Kelyon Talk on 29 April, dedicated to the opportunities and the criticalities of artificial intelligence in diagnostic research, proved to be a proved to be a valuable opportunity for discussion and sharing.
Together with the speakers – Stefano Tagliaferri, Technical Director of Kelyon S.r.l.; Mario Capasso, Professor of Medical Genetics at the University of Naples Federico II and Head of the Bioinformatics Service for NGS of CEINGE Advanced Biotechnologies Franco Salvatore; Annalaura Montella, PhD in Molecular Medicine and Medical Biotechnology at the University of Naples Federico II – we addressed the complexity of this issue.
There were many points for reflection and work for the future.
Artificial intelligence is revolutionising the field health sector, enabling faster and more precise analyses and supporting research in the discovery of new biomarkers and diagnostic strategies. Knowledge multidisciplinary knowledge is crucial for integrating AI into diagnostic research, fostering collaboration between informatics, biology and medicine to achieve innovative results.
The study of cellular and nuclear morphology and nuclear morphology represents an area of great interest, as it is is proving to be a promising biomarker for the detection of circulating tumour cells. In this context, artificial intelligence offers advanced tools that make it possible to accurately analyse such features, helping to identify or confirm working hypotheses. Another key area is the diagnosis of rare genetic diseases, where AI can contribute significantly to the identification of diseases that are difficult to recognise with traditional methods.
The integration of artificial intelligence in research diagnostics opens up new perspectives for precision medicine, offering innovative tools to improve the prevention, diagnosis and treatment of numerous pathologies.
