Artificial Intelligence and Machine Learning for Biomedical Diagnostics and Prognostics
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Medical Research".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 1
Special Issue Editors
Interests: artificial intelligence; data mining; evolutionary algorithms; computer vision; reinforcement
Interests: computational mathematics; computational intelligence; artificial intelligence; algorithms
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue invites original research and reviews on the design, development, and validation of Artificial Intelligence (AI) and Machine Learning (ML) methods applied to detection, diagnosis, risk stratification, and prediction of clinical outcomes. We welcome a broad range of study designs, including individually randomized, cluster‐randomized, and stepped-wedge trials; pragmatic and adaptive trials; cohort, case–control, cross-sectional, and longitudinal studies; N-of-1 trials and interrupted time-series analyses; diagnostic and prognostic accuracy studies; clinical impact and decision-analytic evaluations; as well as systematic reviews and meta-analyses.
Submissions are encouraged across psychology and psychiatry (e.g., ecological momentary assessment, relapse prediction, suicide risk modeling, treatment response to psychotherapies and pharmacotherapies, neuroimaging, and speech/language analytics); physiotherapy and rehabilitation (e.g., telerehabilitation trials, gait analysis using inertial sensors, and exercise protocols); and nutrition (e.g., controlled dietary interventions, crossover feeding studies, nutrigenomics, and metabolomics for personalized nutrition). Additional medical domains of interest include cardiology (ECG and wearable sensors), oncology (prognosis and treatment response), sleep medicine, critical care, pediatrics, and geriatrics.
We particularly value multimodal data integration (medical imaging, omics, digital pathology, wearable sensors, and electronic health records), supervised and unsupervised learning, transfer learning, generative models, and explainable/interpretable approaches. Submissions should demonstrate clinical utility, robust calibration, multicenter generalizability, fairness, privacy and safety safeguards, and—where possible—open datasets, reproducible code, external validation, comparison to clinical standards, and prospective evaluation to accelerate the translation of AI into measurable health impact.
Dr. César Byron Guevara Maldonado
Dr. Victoria López
Dr. Diego Fernando Riofrío Luzcando
Guest Editors
Manuscript Submission Information
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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. Life 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
- machine learning
- diagnostic and prognostic modeling
- multimodal data integration
- explainable AI
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