Cancer kills millions of individuals every year all over the world (Global Cancer Observatory). The physiological and biomechanical processes underlying the tumor are still poorly understood, hindering researchers from creating new, effective therapies. Inconsistent results of preclinical research, in vivo testing, and clinical trials decrease drug approval rates. 3D tumor‐on‐a‐chip (ToC) models integrate biomaterials, tissue engineering, fabrication of microarchitectures, and sensory and actuation systems in a single device, enabling reliable studies in fundamental oncology and pharmacology. This review includes a critical discussion about their ability to reproduce the tumor microenvironment (TME), the advantages and drawbacks of existing tumor models and architectures, major components and fabrication techniques. The focus is on current materials and micro/nanofabrication techniques used to manufacture reliable and reproducible microfluidic ToC models for large‐scale trial applications.

Regenerative medicine is an exciting field of research, in which significant steps are being taken that are leading to the translation of the technique into clinical practice. In the near future, it is expected that clinicians will have the opportunity to bioprint tissues and organs that closely mimic native human tissues. To do so, imaging of patients must be translated to digital models and then fabricated in a layer-by-layer fashion. The main aim of this review is to elaborate on the possible mechanisms that support four-dimensional bioprinting, as well as provide examples of current and future applications of the technology. This technology, considering time as the fourth dimension, emerged with the aim to develop bioactive functional constructs with programmed stimuli responses. The main idea is to have three-dimensional-printed constructs that are responsive to preplanned stimuli. With this review, the authors aim to provoke creative thinking, highlighting several issues that need to be addressed when reproducing such a complex network as the human body. The authors envision that there are some key features that need to be studied in the near future: printed constructs should be able to respond to different types of stimuli in a timely manner, bioreactors must be developed combining different types of automated stimuli and aiming to replicate the in vivo ecology, and adequate testing procedures must be developed to obtain a proper assessment of the constructs. The effective development of a printed construct that supports tissue maturation according to the anticipated stimuli will significantly advance this promising approach to regenerative medicine.