Recent Advances in Artificial Intelligence to Improve Immunotherapy and the Use of Digital Twins to Identify Prognosis of Patients with Solid Tumors.

Autor: D'Orsi L; National Research Council of Italy, Institute for Systems Analysis and Computer Science 'A. Ruberti', BioMatLab, Via dei Taurini, 19, 00185 Rome, RM, Italy., Capasso B; Department of General Surgery, Policlinico Militare di Roma 'Celio', Piazza Celimontana, 50, 00184 Rome, RM, Italy., Lamacchia G; General Surgery Unit, Regina Apostolorum Hospital, Via S. Francesco d'Assisi, 50, 00041 Albano Laziale, RM, Italy., Pizzichini P; Department of Intensive Care Unit, Policlinico Militare di Roma 'Celio', Piazza Celimontana, 50, 00184 Rome, RM, Italy., Ferranti S; Department of General Surgery, Policlinico Militare di Roma 'Celio', Piazza Celimontana, 50, 00184 Rome, RM, Italy., Liverani A; General Surgery Unit, Regina Apostolorum Hospital, Via S. Francesco d'Assisi, 50, 00041 Albano Laziale, RM, Italy., Fontana C; Department of Intensive Care Unit, Policlinico Militare di Roma 'Celio', Piazza Celimontana, 50, 00184 Rome, RM, Italy., Panunzi S; National Research Council of Italy, Institute for Systems Analysis and Computer Science 'A. Ruberti', BioMatLab, Via dei Taurini, 19, 00185 Rome, RM, Italy., De Gaetano A; National Research Council of Italy, Institute for Systems Analysis and Computer Science 'A. Ruberti', BioMatLab, Via dei Taurini, 19, 00185 Rome, RM, Italy.; National Research Council of Italy, Institute for Biomedical Research and Innovation (CNR-IRIB), Via Ugo La Malfa, 153, 90146 Palermo, PA, Italy.; Department of Biomatics, Óbuda University, Bécsi Road 96/B, H-1034 Budapest, Hungary., Lo Presti E; National Research Council of Italy, Institute for Biomedical Research and Innovation (CNR-IRIB), Via Ugo La Malfa, 153, 90146 Palermo, PA, Italy.
Jazyk: angličtina
Zdroj: International journal of molecular sciences [Int J Mol Sci] 2024 Oct 29; Vol. 25 (21). Date of Electronic Publication: 2024 Oct 29.
DOI: 10.3390/ijms252111588
Abstrakt: To date, the public health system has been impacted by the increasing costs of many diagnostic and therapeutic pathways due to limited resources. At the same time, we are constantly seeking to improve these paths through approaches aimed at personalized medicine. To achieve the required levels of diagnostic and therapeutic precision, it is necessary to integrate data from different sources and simulation platforms. Today, artificial intelligence (AI), machine learning (ML), and predictive computer models are more efficient at guiding decisions regarding better therapies and medical procedures. The evolution of these multiparametric and multimodal systems has led to the creation of digital twins (DTs). The goal of our review is to summarize AI applications in discovering new immunotherapies and developing predictive models for more precise immunotherapeutic decision-making. The findings from this literature review highlight that DTs, particularly predictive mathematical models, will be pivotal in advancing healthcare outcomes. Over time, DTs will indeed bring the benefits of diagnostic precision and personalized treatment to a broader spectrum of patients.
Databáze: MEDLINE
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