  Metallic glasses are excellent candidates for biomedical implant applications
due to their inherent strength and corrosion resistance. Use of metallic
glasses in structural applications is limited, however, because bulk dimensions
are challenging to achieve. Glass-forming ability (GFA) varies strongly with
alloy composition and becomes more difficult to predict as the number of
chemical species in a system increases. Here we present a theoretical model -
implemented in the AFLOW framework - for predicting GFA based on the
competition between crystalline phases, and apply it to biologically relevant
binary and ternary systems. Elastic properties are estimated based on the rule
of mixtures for alloy systems that are predicted to be bulk glass-formers.
Focusing on Ca- and Mg-based systems for use in biodegradable orthopedic
support applications, we suggest alloys in the AgCaMg and AgMgZn families for
further study; and alloys based on the compositions: Ag$_{0.33}$Mg$_{0.67}$,
Cu$_{0.5}$Mg$_{0.5}$, Cu$_{0.37}$Mg$_{0.63}$ and
Cu$_{0.25}$Mg$_{0.5}$Zn$_{0.25}$.
