Promoting click chemistry diagnostic and therapeutic systems into clinical settings should focus on four key aspects. First, precise control, in which acid-sensitive azides, ROS-cleavable alkynes, and other TME-responsive substrates can be used to achieve a selective first unlocking of tumors, followed by light-activated cyclooctyne to realize a temporal and spatial second encryption with two progressive steps to suppress off-target effects. To make precise control possible, chemists should collaborate with materials scientists to develop new responsive bonding systems with clear triggering thresholds and fast response kinetics. Tumor biologists need to provide clinically relevant ranges for TME parameters, such as pH and ROS concentration gradients, to guide the precision optimization of responsive materials. Furthermore, interdisciplinary teams should work together to establish
in vitro and
in vivo validation models, conducting thorough assessments of the selectivity and safety of different control strategies. This approach will help inform the development of clinical dosing and irradiation protocols. Second, intelligent design, which involves establishing a substrate structure-kinetics database combined with high-throughput experimental iterations to quickly identify ligand-probe-drug combinations with high tumor accumulation, fast release rates, and optimal S:N ratios in imaging
136. The success of this strategy requires close collaboration among chemists, informatics specialists, and tumor biologists. It is recommended to establish an open-access, multidimensional database integrating chemistry, biology, and pharmacokinetics, containing accumulation and release data across various tumor models. Materials scientists can design modular probe libraries based on this database, while oncologists perform high-throughput screening using patient-derived organoids or biopsy samples, with the resulting data feeding back into the design cycle for continuous optimization, which are all aimed at accelerating the discovery of clinically viable combinations. Third, a personalized closed loop is adopted that relies on modular coupling to instantaneously assemble customized diagnostic and therapeutic modules based on tumor markers, such as HER2 and FR, coupled with liquid biopsy CTC counting to dynamically adjust the dosage and formulation. The same chemical platform can also conveniently modify nanorobots and organ chips for active targeting verification
via magnetic/acoustic control and toxicity evaluation, reducing reliance on animal models and forming a comprehensive design-manufacturing-evaluation translational pathway
137. Advancing this closed-loop system toward clinical application requires a well-defined interdisciplinary workflow. Clinical oncologists would identify patient-specific biomarkers and monitor CTCs, based on which chemists rapidly synthesize corresponding modular click-chemistry building blocks. Materials scientists and bioengineers then collaborate to develop suitable nanorobotic or organ-on-a-chip platforms for functional validation and toxicity prediction of individualized treatment regimens. We recommend establishing a cross-disciplinary translational team that starts with clinical questions, reverse-engineers material and chemical solutions, and iterates rapidly through microfluidic organ-on-a-chip testing, ultimately accelerating the development timeline for personalized therapeutics. Fourth, AI-enabled click chemistry design, machine learning, and computational screening are now actively shaping the development of click-reactive probes and bio-orthogonal reaction pairs
138. By predicting critical properties, such as reaction kinetics, substrate selectivity, and
in vivo stability, AI models significantly shorten the optimization cycle for new theranostic agents
139. One practical example includes the use of deep learning to design tetrazine derivatives that exhibit both faster reaction rates and improved tumor-targeting profiles
140. Looking ahead, coupling AI-driven design with high-throughput experimental validation is expected to fast-track the creation of next-generation click chemistry tools, further enabling tailored theranostic strategies.