AI and Precision Medicine: Innovations and Applications
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Mechanisms of Diseases".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 4048
Special Issue Editors
Interests: micro-cohorts in clinical trials; single-subject studies; N-of-1 trials; personal genomics; translational bioinformatics; phenomics; clinical informatics; ontologies; therapeutic biomarkers and signatures
Interests: computational genomics; evolutionary genetics; single-subject studies; N-of-1 trials; personal genomics; translational bioinformatics; phenomics; therapeutic biomarkers and signatures
Special Issue Information
Dear Colleagues,
We invite researchers, scientists, and practitioners to contribute to our upcoming Special Issue on “AI and Precision Medicine: Innovations and Applications”. This Special Issue aims to explore the leading-edge advancements and interdisciplinary applications of artificial intelligence (AI) in the fields of precision medicine and personalized medicine, highlighting the potential of AI to transform personalized healthcare.
Scope and Themes
Precision and personalized medicine represent a transformative approach to healthcare. It tailors medical treatment to the individual characteristics of each patient. This approach relies heavily on data from various modalities, including, but not limited to, genetic, genomic, metabolomic, transcriptomic, proteomics, electronic health records (EHRs), clinical data warehouses, exposomes, environmental exposure, lifestyle, medication histories, and clinical imaging.
Artificial intelligence, encompassing machine learning, neural networks, deep learning (e.g., convolutional neural networks (CNNs), etc.), fusion models, and generative AI (e.g., large language models, diffusion models, late fusion models, etc.), offers unparalleled tools for analyzing the complex, multimodal datasets intrinsic to precision medicine.
Topics of Interest
We are particularly interested in submissions that cover, but are not limited to, the following forms of AI applied to precision or personalized medicine (PM):
Focused research will emphasize specific areas, including the following:
- Integrative analysis of multi-omics data using AI for PM;
- AI in genomic variant interpretation;
- AI models for predictive biomarker identification;
- AI approaches to personalized drug repositioning or rescue;
- AI-driven personalized therapies from multiple modalities of data;
- Deeply personalized clinical decision support systems powered by AI;
- AI for the modeling of complex diseases or rare non-mendelian disorders;
- AI applications in medical imaging for personalized medicine;
- AI-driven wearable and digital health device data analysis;
- Personalized AI applied to telehealth and remote patient monitoring;
- Pattern recognition models in PM;
- Data fusion and interoperability augmenting AI applications to personalized medicine (e.g., multimodal data integration for comprehensive health profiles and digital twins);
- Ethical, legal, and social implications of AI in personalized medicine;
- AI in predicting drug responses, adverse reactions, and super-responders;
- Transformative AI technologies in mental health care;
- AI and nonlinear variable interactions in disease prediction and management;
- AI-enhanced analysis of patient–clinician encounter videos;
- Predictive analytics using EHR, imaging, and omics data;
- Wearable device data and AI in chronic disease management;
- AI in ICUs;
- AI-driven fusion of pathology imaging and genetic data for cancer diagnoses;
- Personalized medication management through AI analyses of EHR and pharmacy data;
- Digital biomarkers from wearables and mobile devices for disease prediction;
- Machine learning (ML): Techniques for predictive modeling and analysis in genomics, proteomics, and beyond;
- Generative artificial intelligence (AI): The generation of synthetic biological data for research purposes, drug discovery, and development;
- Reinforcement learning: applications in optimizing treatment strategies and clinical trial designs;
- Federated learning: For privacy-preserving multi-institutional studies using EHRs and other health data.
Submission Guidelines
Submissions should detail innovative research, methodologies, or applications of AI in the field of precision medicine. We welcome papers addressing single data modalities as well as those exploring the integration of multimodal data.
We look forward to receiving your contributions to this exciting Special Issue, where AI and precision medicine converge to define the future of personalized healthcare.
Prof. Dr. Yves A. Lussier
Dr. Nima Pouladi
Guest Editors
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 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- precision medicine
- personalized medicine
- genomic medicine
- personal genomics
- deep learning
- machine learning
- generative AI
- medical AI
- health AI
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