Page 89 - IJAMD-1-1

International Journal of AI
for Material and Design MMDB: A comprehensive biofabrication database

Figure 4. Knowledge mapping of liver function.

visualization, the platform provides a comprehensive view 2 weeks by submitting the data. The output duration of
of intricate details concerning the realm of in vitro liver the secretion line charts can also be customized by the
fabrication. The integration of the keyword frequency user. Importantly, it should be noted that culture platform
chart further allows users to ascertain prevalent trends or parameters may vary depending on the specific methods
important factors in the domain (Figure 4). employed in scaffold design.

3.2. Models 3.3. Materials
The “Models” section in MMDB includes two machine The “Materials” section delivers an exhaustive mapping of
learning regression models. The first model focuses on biomaterial knowledge, comprising nine distinct entities
delivering optimized bioprinting parameters for constructing as outlined in the accompanying legend. These entities are
organs in vitro. The second model, currently applicable only interconnected through various relationships to form an
to the study of human livers, is designed to predict functional intricate network. Each biomaterial acts as the nucleus of a
indexes over a specific period based on a set of fabrication specialized sub-graph, allowing users the flexibility to either
parameters. We provide four different liver models: scaffold- expand or condense this sub-graph for a tailored depth of
based, spheroid-based, liver-on-a-chip, and 2D model. While information. Within each sub-graph, users can explore a
these models share some fabrication parameters, each model multifaceted array of details, including relevant academic
type also has unique parameters. The section predominantly papers and organizations that utilize the biomaterial,
includes three categories of parameters for in vitro organ specific organs or structures that the material aids in
construction: cell parameters, material parameters, and fabricating, cell types commonly used in conjunction with
culture platform parameters. Each category further contains the biomaterial, the manufacturing methods in which the
several specific fabrication parameters (Figure 5). material is involved, commonly employed crosslinkers, as

Users can input either real or hypothetical data into the well as any modifications made to the biomaterial. Overall,
provided forms. For numerical data, units are specified to knowledge mapping offers a quick and intuitive way for
maintain data uniformity. After entering all required data, users to select appropriate biomaterials and understand
users can generate default secretion line charts spanning their applications, streamlining both research and

Volume 1 Issue 1 (2024) 83 https://doi.org/10.36922/ijamd.2420