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Na et al. Soft Sci. 2026, 6, 25                                                  Page 17 of 22





               address limited light utilization, future research should focus on enhancing light-matter interactions through
               advanced photon-management strategies, including high absorption photoactive materials and vertical
               structure. Insufficient adaptive learning capability may be overcome by designing wavelength-selective
               optoelectronic synapses, particularly through heterojunction engineering that enables controllable
               bidirectional charge carrier transport and reversible weight modulation without external electrical bias.
               Device instability and variability can be addressed by an encapsulation process using hydrophobic
               transparent materials to prevent environmental defects and by achieving a precise and uniform film
               morphology. Achieving system-level integration requires extending device-level advances toward
               array-based architectures, incorporating optical waveguides, passive optical interconnects, and
               wavelength-division to suppress crosstalk and enable scalable in-sensor computing. Developing intrinsically
               soft electronic materials and mechanically reliable interfaces will be as crucial as designing architectures that
               preserve neuromorphic fidelity under dynamically changing environmental and physiological conditions.
               Furthermore, integrating optical interconnects and scalable fabrication strategies will be essential for
               translating device-level concepts into practical systems capable of hardware-based image recognition and
               vector-matrix computation.

               In the end, the convergence of zero-power operation, mechanical compliance, and neuromorphic
               intelligence will define the next phase of wearable technology. Future systems are expected to evolve beyond
               discrete sensing modules into fully integrated, adaptive networks capable of continuous perception, energy
               regulation, and physiological interpretation within body-interfaced environments. By autonomously
               managing energy flow and decoding multimodal biosignals, these platforms could function as intelligent
               companions for long-term health monitoring and responsive therapeutic control. Ultimately, this shift
               toward zero-power, soft, and cognitively capable electronics will not only advance wearable systems but also
               redefine how human-machine interfaces enable sustainable and lifelong interaction with the body,
               environment, and technology.


               DECLARATIONS
               Authors’ contributions
               Conceived the topic: Na, M.; Park, J.; Sim, K.
               Original draft writing: Na, M.; Park, J.; Sim, K.
               Supervised and reviewed the manuscript: Sim, K.


               Availability of data and materials
               Not applicable.

               AI and AI-assisted tools statement
               During the preparation of this manuscript, the AI-based tool Springer Nature's Curie was used solely for
               language editing. The tool did not influence the study design, data collection, analysis, interpretation, or the
               scientific content of the work. All authors take full responsibility for the accuracy, integrity, and final content
               of the manuscript.

               Financial support and sponsorship
               This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean
               government, Ministry of Science and ICT (No. RS-2024-00346943).

               Conflicts of interest
               All authors declared that there are no conflicts of interest.

               Ethical approval and consent to participate
               Not applicable.

               Consent for publication
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