AIMC Topic: Biocompatible Materials

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Robot-Assisted Synthesis of Structure-Controlled Star-Cluster Hydrogels with Targeted Mechanophysical Properties for Biomedical Applications.

Biomacromolecules
Advancements in polymer chemistry have enabled the design of macromolecular structures with tailored properties for diverse applications. Reversible addition-fragmentation chain-transfer (RAFT) polymerization is a controlled technique for precise pol...

Progress of AI assisted synthesis of polysaccharides-based hydrogel and their applications in biomedical field.

International journal of biological macromolecules
Polymeric hydrogels, characterized by their highly hydrophilic three-dimensional network structures, boast exceptional physical and chemical properties alongside high biocompatibility and biodegradability. These attributes make them indispensable in ...

Design of Biocompatible Nanomaterials Using Quasi-SMILES and Recurrent Neural Networks.

ACS applied materials & interfaces
Screening nanomaterials (NMs) with desired properties from the extensive chemical space presents significant challenges. The potential toxicity of NMs further limits their applications in biological systems. Traditional methods struggle with these co...

AI for biofabrication.

Biofabrication
Biofabrication is an advanced technology that holds great promise for constructing highly biomimeticthree-dimensional human organs. Such technology would help address the issues of immune rejection and organ donor shortage in organ transplantation, a...

Prediction of directional solidification in freeze casting of biomaterial scaffolds using physics-informed neural networks.

Biomedical physics & engineering express
Freeze casting, a manufacturing technique widely applied in biomedical fields for fabricating biomaterial scaffolds, poses challenges for predicting directional solidification due to its highly nonlinear behavior and complex interplay of process para...

Mapping Biomaterial Complexity by Machine Learning.

Tissue engineering. Part A
Biomaterials often have subtle properties that ultimately drive their bespoke performance. Given this nuanced structure-function behavior, the standard scientific approach of one experiment at a time or design of experiment methods is largely ineffic...

Osteoinductive biomaterials: Machine learning for prediction and interpretation.

Acta biomaterialia
Biomaterials with osteoinductivity are widely used for bone defect repair due to their unique structures and functions. Machine learning (ML) is pivotal in analyzing osteoinductivity and accelerating new material design. However, challenges include c...

Hydrogel-Based Artificial Synapses for Sustainable Neuromorphic Electronics.

Advanced materials (Deerfield Beach, Fla.)
Hydrogels find widespread applications in biomedicine because of their outstanding biocompatibility, biodegradability, and tunable material properties. Hydrogels can be chemically functionalized or reinforced to respond to physical or chemical stimul...

Magnetic-actuated hydrogel microrobots with multimodal motion and collective behavior.

Journal of materials chemistry. B
Magnetic-actuated miniature robots have sparked growing interest owing to their promising potential in biomedical applications, such as noninvasive diagnosis, cargo delivery, and microsurgery. Innovations are required to combine biodegradable materia...

Sustainable biofabrication: from bioprinting to AI-driven predictive methods.

Trends in biotechnology
Biofabrication is potentially an inherently sustainable manufacturing process of bio-hybrid systems based on biomaterials embedded with cell communities. These bio-hybrids promise to augment the sustainability of various human activities, ranging fro...