Intelligent Biomedical Materials: AI-Augmented Discovery, Processing, and Clinical Translation
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Biomaterials".
Deadline for manuscript submissions: 31 January 2027 | Viewed by 94
Editor
Interests: surface chemistry; nanotechnology; biotechnology; biomaterials; environmental chemistry; physical chemistry; AI/ML
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The development of novel biomedical materials is a cornerstone of advancing human health, enabling breakthroughs in tissue engineering, drug delivery, regenerative medicine, and diagnostic technologies. However, the journey from conceptual material to clinically approved products remains long and challenging, including unpredictable biological responses and complex manufacturing variables. This Special Issue, titled "Intelligent Biomedical Materials: AI-Augmented Discovery, Processing, and Clinical Translation," is dedicated to showcasing how Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing this pipeline, transforming it into an accelerated, predictable, and intelligent endeavor.
The convergence of materials science with computational power is creating unprecedented opportunities. AI and ML models can now navigate the vast, multi-dimensional design space of biomedical materials, uncovering hidden patterns and predicting outcomes that are beyond the reach of traditional experimental approaches. This paradigm shift is augmenting human intuition with data-driven power, leading to smarter, safer, and more effective medical solutions.
We invite the submission of original research articles and comprehensive reviews that explore the integration of AI and ML across the entire lifecycle of biomedical materials. Topics of interest include, but are not limited to, the following:
Accelerated Discovery: Using generative models and deep learning for the inverse design of new metals, polymers, ceramics, and bio-inks with targeted properties.
Predictive Performance Modeling: ML-driven forecasting of material degradation, drug release kinetics, mechanical integrity in vivo, and long-term biocompatibility.
AI-Optimized Synthesis and Processing: Application of algorithms to control and optimize fabrication parameters for 3D printing, electrospinning, and other techniques to ensure quality and reproducibility.
Clinical Outcome Prediction: Integrating patient-specific data (from imaging to genomics) with material properties to predict therapeutic efficacy and personalize material selection.
Materials Informatics: Creating and leveraging large-scale, structured databases for biomaterials to fuel AI models and enable collaborative, data-rich science.
This Special Issue aims to provide a seminal platform for researchers at the intersection of materials science, computer engineering, and clinical medicine. By highlighting the most innovative AI-augmented strategies, we seek to chart the course for the future of intelligent biomedical material development and its direct impact on improving patient care.
Dr. Ioannis Liakos
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 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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Materials is an international peer-reviewed open access semimonthly 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
- AI/ML in biomaterials
- drug delivery
- nanotechnology
- biotechnology
- 3D printing
- tissue engineering
- regenerative medicine
- diagnostic technologies
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