Applications of Machine Learning AlLaser Powder Bed Fusion (LPBF), a type of additive manufacturing, allows for the production of metallic lattice structures with highly adaptable geometries and graded material properties. Functionally Graded Lattice Structures (FGLS) are advantageous for high-performance applications, including biomedical implants. These advanced structures, produced through additive manufacturing (AM), exhibit spatially varying mechanical properties that are crucial for mimicking biological gradients, thereby reducing stress shielding and promoting better integration. This thesis explores the design, fabrication, and mechanical characterization of FGLS using AlSi10Mg, targeting potential biomedical applications. Three advanced lattice topologies were investigated: Gyroid, Split-P (a TPMS-derived surface), and Stochastic Voronoi, selected for their known mechanical performance and bioinspired architectures.