Clinical trials must balance feasibility, efficiency, and statistical rigor while addressing real-world constraints. This talk explores how innovations in trial design can tackle these challenges, with examples including Bayesian methods for leveraging prior information, cluster and crossover designs for settings where individual randomization is impractical, and adaptive platform trials for evaluating multiple interventions.