AI and Neurogenomics: Innovations in Precision Medicine for Brain Disorders
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Human Genomics and Genetic Diseases".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 109
Special Issue Editors
Interests: genetic counseling; neurogenetics; pharmacogenetics; rare disorders; genetic diagnosis
Special Issues, Collections and Topics in MDPI journals
2. Forensic Genetics Laboratory, Department of Biomedicine and Prevention, Tor Vergata University, 00133 Rome, Italy
Interests: forensic genetics; genetic counselling; human identification; neurogenetics; prenatal and postnatal genetic diagnosis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The advent of artificial intelligence (AI) in genomic medicine has allowed the development of innovative protocols for the evaluation of patients, diagnosis, and management. In genomic medicine, the integration of these new technologies lays the basis for the automated evaluation of big genomic data. In fact, machine learning algorithms can help in decoding genomic variants associated with several brain diseases. Neurogenomics has demonstrated that the integration of genomic evaluation supports the application of precision medicine to patients affected by both multifactorial and mendelian neurological disorders, such as Alzheimer's, Parkinson's, schizophrenia, and neuromuscular disorders. By integrating multi-omics data—genomics, transcriptomics, and epigenomics—AI models have demonstrated interesting abilities. The application of AI models, under strict human control, supports the identification of disease-associated biomarkers, helps in the prediction of patient-specific responses to treatments, and accelerates drug discovery.
In this Special Issue, we welcome reviews and original articles covering many aspects of artificial intelligence applications in neurogenomics. These include, but are not limited to, new diagnostic, therapeutic, and neuroimaging protocols; functional and molecular evaluation of neurogenetic disorders; translation of research data into medical protocols; new management perspectives; and multi-omic analysis of disease trajectory. This Special Issue of Genes will emphasize AI’s potential to bridge the gap between genetic research and clinical practice, offering a roadmap for future innovations in brain health. By leveraging AI’s computational power, precision medicine can move closer to individualized, data-driven solutions for treating neurological disorders, improving patient outcomes, and reshaping the future of neuroscience and healthcare.
Dr. Stefania Zampatti
Dr. Emiliano Giardina
Guest Editors
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Keywords
- neurogenetics
- genomics
- artificial intelligence
- brain disorders
- neurodegenerative disease
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