AIMC Topic: Biocompatible Materials
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Mapping Biomaterial Complexity by Machine Learning.
Tissue engineering. Part A
Sep 12, 2024
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
Aug 22, 2024
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.)
Aug 1, 2024
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
Jul 31, 2024
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
Jul 27, 2024
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...
A practical machine learning approach for predicting the quality of 3D (bio)printed scaffolds.
Biofabrication
Jul 25, 2024
3D (Bio)printing is a highly effective method for fabricating tissue engineering scaffolds, renowned for their exceptional precision and control. Artificial intelligence (AI) has become a crucial technology in this field, capable of learning and repl...
Review of Machine Learning Techniques in Soft Tissue Biomechanics and Biomaterials.
Cardiovascular engineering and technology
Jul 2, 2024
BACKGROUND AND OBJECTIVE: Advanced material models and material characterization of soft biological tissues play an essential role in pre-surgical planning for vascular surgeries and transcatheter interventions. Recent advances in heart valve enginee...
3D printed PEDOT:PSS-based conducting and patternable eutectogel electrodes for machine learning on textiles.
Biomaterials
May 24, 2024
The proliferation of medical wearables necessitates the development of novel electrodes for cutaneous electrophysiology. In this work, poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) is combined with a deep eutectic solvent (DES) a...
Magnetically driven formation of 3D freestanding soft bioscaffolds.
Science advances
Feb 2, 2024
3D soft bioscaffolds have great promise in tissue engineering, biohybrid robotics, and organ-on-a-chip engineering applications. Though emerging three-dimensional (3D) printing techniques offer versatility for assembling soft biomaterials, challenges...
Fungal skin for robots.
Bio Systems
Dec 19, 2023
Advancements in mycelium technology, stemming from fungal electronics and the development of living mycelium composites and skins, have opened new avenues in the fusion of biological and artificial systems. This paper explores an experimental endeavo...
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