<p>1. Discontinuous finite-element model of hydrogels: predicting stiffness of nanofibres<br>2. Modeling the influence of mechanics on biological growth<br>3. Finite Element modeling and simulation of the multiphysic behavior of articular cartilage<br>4. Image-driven constitutive modeling for FE-based simulation of soft tissue biomechanics<br>5. Finite element modeling of Turing Pattern formation: An application to appearance and location of dentinal tubules<br>6. A discontinuous Galerkin model for the simulation of chemotaxis processes: application to stem cell injection after a myocardial infarction<br>7. Application of the Boundary Element Method in bioelectromagnetics<br>8. BEM in biomechanics: modelling, advances and limitations<br>9. A particle-finite element based framework for differentiation paths of stem cells to myocytes and adipocytes<br>10. Numerical simulation of bone cutting: hybrid SPH-FE approach<br>11. Smoothed Particle Hydrodynamics method and its applications to cardiovascular flow modeling<br>12. Agent Based Lattice Models of multicellular systems: numerical methods, implementation and applications <br>13. Multiscale agent-based computer models in skeletal tissue regeneration<br>14. Off-lattice Agent Based models for cell and tumor growth: numerical methods, implementation and applications<br>15. Agent-based numerical methods for 3D bioprinting in tissue engineering<br>16. Coupled Finite Element-Agent Based models for the simulation of vascular growth and remodeling<br>17. The mechanologic bone tissue remodeling analysis: a comparison between mesh-depending and meshless methods<br>18. Strong and weak form meshless methods in computational biomechanics<br>19. The finite volume particle method: towards a meshless technique for biomedical fluid dynamics<br>20. Multicomponent lattice Boltzmann models for biological applications<br>21. Lattice Boltzmann models of highly viscous fluids and multicellular self-assembly<br>22. The Lattice Boltzmann modeling: solving complex flows including biological cells<br>23. Lattice Boltzmann methods for bioengineering applications</p>