AIMC Topic: Biocompatible Materials

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Identification and Classification of Functional Split G-Quadruplexes Using Machine Learning-Guided Activity Screening.

ACS applied bio materials
Split G-quadruplexes are considered excellent tools for biosensing and diagnostics, but splitting G-quadruplexes may often lead to a loss of function, limiting their effectiveness. This study aims to identify and classify functional split G-quadruple...

Nanotechnology-Enhanced siRNA Delivery: Revolutionizing Cancer Therapy.

ACS applied bio materials
RNA interference (RNAi) has emerged as a transformative approach for cancer therapy, enabling precise gene silencing through small interfering RNA (siRNA). However, the clinical application of siRNA-based treatments faces challenges such as rapid deg...

Beyond 3D Printing: How AI is Shaping the Future of Craniomaxillofacial Bone Tissue Engineering.

ACS biomaterials science & engineering
This perspective focuses on the potential of artificial intelligence (AI) in craniomaxillofacial (CMF) bone tissue engineering, mitigating current challenges, and driving the development of tailored biomaterials and clinical translation. CMF bone tis...

Comparative analysis of deep learning models for predicting biocompatibility in tissue scaffold images.

Computers in biology and medicine
MOTIVATION: Bioprinting enables the creation of complex tissue scaffolds, which are vital for tissue engineering. However, predicting scaffold biocompatibility before fabrication remains a critical challenge, potentially leading to inefficiencies and...

Biomolecular Actuators for Soft Robots.

Chemical reviews
Biomolecules present promising stimuli-responsive mechanisms to revolutionize soft actuators. Proteins, peptides, and nucleic acids foster specific intermolecular interactions, and their boundless sequence design spaces encode precise actuation capab...

Machine learning-based label-free macrophage phenotyping in immune-material interactions.

Journal of materials chemistry. B
The rapid advancement of implantable biomedical materials necessitates a comprehensive understanding of macrophage interactions to optimize implant immunocompatibility. Macrophages, key immune regulators, exhibit phenotypic plasticity by polarizing i...

Machine-Learning Framework to Predict the Performance of Lipid Nanoparticles for Nucleic Acid Delivery.

ACS applied bio materials
Lipid nanoparticles (LNPs) are highly effective carriers for gene therapies, including mRNA and siRNA delivery, due to their ability to transport nucleic acids across biological membranes, low cytotoxicity, improved pharmacokinetics, and scalability....

Artificial intelligence in biomaterials: a call for unified biocompatibility standards.

Trends in biotechnology
A standardized definition of biocompatibility is essential for advancing biomaterials research. This letter emphasizes the need for clear guidelines and interdisciplinary frameworks in assessing biocompatibility, with artificial intelligence (AI) pla...

Biomedical optical fibers.

Lab on a chip
Optical fibers with the ability to propagate and transfer data via optical signals have been used for decades in medicine. Biomaterials featuring the properties of softness, biocompatibility, and biodegradability enable the introduction of optical fi...

Photonic artificial muscles: from micro robots to tissue engineering.

Faraday discussions
Light responsive shape-changing polymers are able to mimic the function of biological muscles accomplishing mechanical work in response to selected stimuli. A variety of manufacturing techniques and chemical processes can be employed to shape these m...