BIG DATA E INNOVAZIONE: PROSPETTIVE PER LA SALUTE E I DATI PERSONALI

In recent years, the concept of big data has become increasingly relevant across various sectors, with significant impact in medicine. In this article we explore how big data is transforming medical practice and personal data protection. Managing large volumes of genomic data, for instance, offers new perspectives on genetic diversity and diseases. However, the true revolution lies not in the quantity of data but in the ability to extract meaningful information to understand complex phenomena. Examples such as the GnomAD database and studies on genetic variants linked to schizophrenia are discussed, highlighting the importance of genetic diversity and detailed analysis. High-performance computing infrastructures and Artificial Intelligence (AI) play a crucial role in processing these data, with AI enabling the capture of non-linear relationships among biological components. Additionally, the article addresses challenges related to data privacy and the environmental impact of computing infrastructures. In summary, we emphasise the importance of data quality and correlation, supported by robust bioinformatics infrastructures and advanced AI analytical capabilities, to enhance the understanding of biological systems.

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Publication Details

Journal
Istituto Lombardo - Accademia di Scienze e Lettere - Rendiconti di Scienze
Published
2025-02-12
DOI
https://doi.org/10.4081/scienze.2024.865
Primary Topic
Cognitive Computing and Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

BIG DATA E INNOVAZIONE: PROSPETTIVE PER LA SALUTE E I DATI PERSONALI

Francesco Lescai
Istituto Lombardo - Accademia di Scienze e Lettere - Rendiconti di Scienze
Cognitive Computing and Networks
article

BIG DATA E INNOVAZIONE: PROSPETTIVE PER LA SALUTE E I DATI PERSONALI

Francesco Lescai
article en

Abstract

In recent years, the concept of big data has become increasingly relevant across various sectors, with significant impact in medicine. In this article we explore how big data is transforming medical practice and personal data protection. Managing large volumes of genomic data, for instance, offers new perspectives on genetic diversity and diseases. However, the true revolution lies not in the quantity of data but in the ability to extract meaningful information to understand complex phenomena. Examples such as the GnomAD database and studies on genetic variants linked to schizophrenia are discussed, highlighting the importance of genetic diversity and detailed analysis. High-performance computing infrastructures and Artificial Intelligence (AI) play a crucial role in processing these data, with AI enabling the capture of non-linear relationships among biological components. Additionally, the article addresses challenges related to data privacy and the environmental impact of computing infrastructures. In summary, we emphasise the importance of data quality and correlation, supported by robust bioinformatics infrastructures and advanced AI analytical capabilities, to enhance the understanding of biological systems.

Istituto Lombardo - Accademia di Scienze e Lettere - Rendiconti di Scienze
University of Pavia (IT)
Openalex Percentile: Top 99%
Cognitive Computing and Networks
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