Molecular Insights in Medical Microbiology and Infectious Diseases: The Role of Artificial Intelligence and Machine Learning
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Informatics".
Deadline for manuscript submissions: 25 October 2025 | Viewed by 34
Special Issue Editor
Interests: clinical microbiology; clinical virology; SARS-CoV-2; HPV; sexually transmitted infections; respiratory viruses
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of artificial intelligence (AI) and machine learning (ML) in medical microbiology represents a transformative frontier for understanding, diagnosing, and managing infectious diseases at the molecular level. This Special Issue aims to explore cutting-edge applications of AI-driven methodologies across various domains within medical microbiology. Topics of interest include advanced molecular diagnostics leveraging AI for rapid pathogen detection, predictive models identifying antimicrobial resistance from genomic datasets, and novel computational tools for the genomic characterization of pathogens. Contributions may address integrative multi-omics analyses of host–pathogen interactions, highlighting how AI elucidates molecular mechanisms underlying pathogenicity and immune responses. Additionally, papers exploring deep learning applications in microbiological imaging, computational strategies in personalized infectious disease treatments, and innovative AI-based vaccine target predictions are encouraged. Critical discussions surrounding AI-supported epidemiological surveillance and modeling disease outbreaks at the molecular level will also be featured. Moreover, articles addressing ethical, regulatory, and practical challenges associated with the implementation of AI in microbial diagnostics and infection management are welcomed. This Special Issue will collectively provide molecular-level insights, driving advancements in infectious disease management and prevention through the power of artificial intelligence and machine learning.
Dr. Alberto Rizzo
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- molecular diagnostics
- pathogen genomics
- antimicrobial resistance
- host–pathogen interaction
- infectious diseases surveillance
- artificial intelligence
- machine learning
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