Biobased nanoparticles are at the leading edge of the
rapidly developing
field of nanomedicine and biotherapeutics. Their unique size, shape,
and biophysical properties make them attractive tools for biomedical
research, including vaccination, targeted drug delivery, and immune
therapy. These nanoparticles are engineered to present native cell
receptors and proteins on their surfaces, providing a biomimicking
camouflage for therapeutic cargo to evade rapid degradation, immune
rejection, inflammation, and clearance. Despite showing promising
clinical relevance, commercial implementation of these biobased nanoparticles
is yet to be fully realized. In this perspective, we discuss advanced
biobased nanoparticle designs used in medical applications, such as
cell membrane nanoparticles, exosomes, and synthetic lipid-derived
nanoparticles, and highlight their benefits and potential challenges.
Moreover, we critically assess the future of preparing such particles
using artificial intelligence and machine learning. These advanced
computational tools will be able to predict the functional composition
and behavior of the proteins and cell receptors present on the nanoparticle
surfaces. With more advancement in designing new biobased nanoparticles,
this field of research could play a key role in dictating the future
rational design of drug transporters, thereby ultimately improving
overall therapeutic outcomes.