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Abstract: Neurotechnology as a research area can be defined as the convergence of neuroscience and tissue engineering/regenerative medicine. Through directed global initiatives concentrated on a better understanding of the human brain, an exponential rise in innovative functional biomaterials for the symbiotic integration of man and machine has risen. Unfortunately, neurotechnology as with other disruptive technologies faces the daunting path of traversing the broad chasm between the bench (development of technology) and the bedside (application of technology). Clinical translation of medical devices intended to assess, monitor, and treat sensorimotor injuries must address a selection of design and functional constraints which are cost limiting from a traditional manufacturing perspective. As a highly versatile technology, 3D printing in combination with advanced functional materials can be used to manufacture scaffolds for tissue engineering the neural‐prosthesis interface as well as devices with predesigned capabilities of integrating spatial and temporal data sets usable in a diagnostic and therapeutic context. Therefore, recent neurotechnological advancements will be discussed in the realm of 3D printed functional materials (>2013) with a focus on their potential for clinical translation. [ABSTRACT FROM AUTHOR]

Abstract Bioelectronic devices enable efficient and effective communication between medical devices and human tissue in order to directly treat patients with various neurological disorders. Due to the mechanical similarity to human tissue, hydrogel-based electronic devices are considered to be promising for biological signal recording and stimulation of living tissues. Here, we report the first three-dimensionally (3D) printable conductive hydrogel that can be photocrosslinked while retaining high electrical conductivity. In addition, we prepared dorsal root ganglion (DRG) cell-encapsulated gelatin methacryloyl (GelMA) hydrogels which were integrated with the 3D printed conductive structure and evaluated for efficiency neural differentiation under electrical stimulation (ES). For enhanced electrical conductivity, a poly(3,4-ethylenedioxythiophene) (PEDOT): polystyrene sulfonate (PSS) aqueous solution was freeze-dried and mixed with polyethylene glycol diacrylate (PEGDA) as the photocurable polymer base. Next, the conductive hydrogel was patterned on the substrate by using a table-top stereolithography (SLA) 3D printer. The fabricated hydrogel was characterized for electrochemical conductivity. After printing with the PEDOT:PSS conductive solution, the patterned hydrogel exhibited decreased printing diameters with increasing of PEDOT:PSS concentration. Also, the resultant conductive hydrogel had significantly increased electrochemical properties with increasing PEDOT:PSS concentration. The 3D printed conductive hydrogel provides excellent structural support to systematically transfer the ES toward encapsulated DRG cells for enhanced neuronal differentiation. The results from this study indicate that the conductive hydrogel can be useful as a 3D printing material for electrical applications. Highlights • 3D printed conductive hydrogel significantly improved the electrical potential for neuronal differentiation. [ABSTRACT FROM AUTHOR]

There is an urgent need in the field of soft tissue engineering (STE) to develop biomaterials exhibiting a high degree of biological and mechanical functionality as well as modularity so that they can be tailored according to patient-specific requirements. Recently, biomimetic soft network composites (SNC) consisting of a water-swollen hydrogel matrix and a reinforcing fibrous network fabricated by melt electrospinning writing technology have demonstrated exceptional mechanical and biological properties, thus becoming strong candidates for STE applications. However, there is a lack of design approaches to tailor and optimize their properties in a non-empirical way. To address this challenge, we propose a numerical model-based approach for the rational design of patient-specific SNC for tissue engineering applications. The approach is rooted in an in silico design library that allows for the selection of biomaterial and architecture combinations for the target application, resulting in reduced time, manpower and costs. To demonstrate the validity of the design strategy, a multiphasic SNC with predefined zone-specific properties that captured the complex zonal mechanical and compositional features of articular cartilage was developed based on the natural design of the native tissue. [ABSTRACT FROM AUTHOR]