Artificial Intelligence: Applications in the Field of Immune-Mediated Inflammatory Diseases and Onco-Hematology
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Immunology".
Deadline for manuscript submissions: 30 July 2025 | Viewed by 767
Special Issue Editors
Interests: immunodeficiency; autoimmunity; neuro-endocrino-immunology; pharmacogenomics; soluble molecules; immune-mediated diseases; allergies; vaccines
Special Issues, Collections and Topics in MDPI journals
Interests: mediators of inflammation; cytokines; biomarkers of oxidative stress; immunosenescence; immunogenetics; epigenetics; application of machine learning; deep learning in various fields of medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is becoming increasingly interesting and applied in various fields, including the biomedicine. Medicine is particularly involved because techniques based on machine learning (ML) allow us to improve the accuracy of medical diagnoses or to anticipate the outcome of possible therapeutic interventions.
Specifically, ML is utilized in the field of immune-mediated diseases, providing support for the diagnosis of systemic forms, such as systemic lupus erythematosus, systemic sclerosis, rheumatoid arthritis, and Sjogren's syndrome. It also helps in the early prediction of their involvement within individual viscera (lungs, heart, kidneys, gastrointestinal tract, etc.). For example, the application of AI in patients with systemic sclerosis can lead to an early diagnosis of interstitial lung disease and ILD, anticipating functional signs shown by traditional techniques, such as spirometry and pH impedance analysis.
ML, deep learning (DL), and natural language processing (NLP) techniques hold promise to revolutionize diagnosis and therapy in the onco-hematological field. This is possible thanks to their ability to automatically analyze huge amounts of information in a digital format (clinical data, pathological anatomy, and so-called multiomics data, which concern the circulating immune profile, radiomics, genomics, and RNA sequencing) to characterize neoplasms.
This Special Issue is led by Prof. Dr. Giuseppe Murdaca and Prof. Dr. Sebastiano Gangemi, and assisted by Dr. Francesca Paladin from the Department of Internal Medicine and Medical Specialties (DIMI) at University of Genoa in Genoa, Italy. It aims to collect and analyze the most recent scientific evidence supporting the use of AI in immunology and onco-hematological fields. Both review and research articles are welcome. Please note that pure clinical studies or models are not suitable for this journal; however, clinical submissions with biomolecular studies are welcome.
Prof. Dr. Giuseppe Murdaca
Prof. Dr. Sebastiano Gangemi
Guest Editors
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Keywords
- artificial intelligence
- machine learning
- immune-mediated diseases
- cancers
- hematological ma-lignancies
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