New Sights of Machine Learning and Digital Models in Biomedicine
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 1128
Special Issue Editor
Interests: machine learning; dental pulp cavity; premolar tooth; cone-beam computed tomography; mineral trioxide aggregate; calcium compounds; tricalcium silicate; root resorption; tooth movement techniques; orthodontics
Special Issue Information
Dear Colleagues,
This Special Issue explores the intersection of machine learning (ML), digital modeling, and biomedicine, highlighting innovative approaches that leverage advanced computational techniques to enhance medical research, diagnosis, treatment, and patient care.
It includes, but is not limited to, the following fields:
Machine Learning Techniques:
Examination of novel ML algorithms and their applications in biomedicine.
Discussions on supervised, unsupervised, and reinforcement learning techniques tailored for biomedical datasets.
Data Integration and Analysis:
Strategies for integrating vast types of biomedical data, including genomics, proteomics, and patient health records.
Case studies showcasing how data-driven insights lead to breakthroughs in disease understanding and management.
Digital Techniques in Diagnosis:
Computer-aided programs and applications used for diagnosis, Imaging Analysis, Electronic Health Records (EHR), Clinical Decision Support, and innovative digital techniques for diagnostic research.
Clinical Applications:
Real-world applications of ML in diagnostics, predictive analytics, and drug discovery.
The role of ML in improving imaging technologies and pathology.
The Issue features contributions from leading researchers and practitioners in the field, offering a multidisciplinary perspective on the application of machine learning and modeling technologies in healthcare.
The goal of the Special Issue is to provide a comprehensive overview of current advancements, foster collaboration, and inspire future research in the integration of machine learning and digital modeling within biomedicine.
Prof. Dr. Hatem Alhadainy
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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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 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
- machine learning
- biomedical imaging
- predictive modeling
- medical data analytics
- genomics
- precision medicine
- bioinformatics
- machine learning algorithms
- computer-aided diagnosis
- imaging analysis
- clinical decision support
- electronic health records (EHR)
- disease prediction simulation models
- virtual patients
- drug discovery
- health informatics
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