Cancers doi: 10.20517/ss.2025.153

Authors: Tianying Chen,Shuai Zhang,Yuxin Hu,Zekun Liu,Bixuan Huang,Mingzhen Zhao,Tianru Wu,Xiaotian Zhang,Chao Zhang,Changjie Chen,Zhenhua Wu

Fiber memristors represent a transformative platform for next-generation wearable electronics, enabling the seamless integration of non-volatile memory and neuromorphic computing directly onto or within textile fibers. This intrinsic functionalization at the fiber level effectively overcomes the “sense-transmit-process” separation inherent in conventional wearable systems, paving the way for truly intelligent, energy-efficient, and autonomous textiles. This review provides a comprehensive overview of the development and state-of-the-art research in this emerging field. We first elucidate the fundamental device architectures and underlying resistive-switching mechanisms. Subsequently, we systematically summarize the material systems and advanced fabrication strategies employed to construct robust and weavable memristive fibers, followed by a critical analysis of their electrical, mechanical, and functional performance metrics. A dedicated section highlights the cutting-edge applications of fiber memristors, particularly in integrated sensing-memory-computing systems, neuromorphic signal processing, and adaptive human-machine interfaces. Key challenges are thoroughly discussed, along with promising future research directions. By offering a holistic perspective spanning materials, devices, and integrated systems, this review aims to provide comprehensive theoretical insights and technical guidance for the development of next-generation intelligent textiles, thereby accelerating the deep fusion of electronic functionality and textile substrates.

Cancers doi: 10.20517/ss.2025.122

Authors: Myeonghyeon Na,Jinyeong Park,Kyoseung Sim

Zero-power optoelectronic synapses, defined as optoelectronic synaptic devices operating without external electrical bias, are emerging as core components for energy-efficient intelligent wearable neuromorphic platforms. Wearable neuromorphic systems require continuous, autonomous operation under strict constraints on power consumption, mechanical compliance, and thermal safety, making conventional electrically biased synaptic devices impractical for long-term body-interfaced use. By harvesting light to drive synaptic modulation without external bias, these devices integrate sensing, learning, memory, and processing within a single self-sustained element. This light-driven operation is therefore particularly well suited for wearable platforms, where energy availability is limited and frequent recharging or battery replacement is undesirable. This review summarizes recent progress in zero-power optoelectronic synapses based on three representative mechanisms: Schottky junctions, heterojunctions, and photothermoelectric effect. Despite notable progress, several fundamental challenges continue to limit practical deployment. These include limited light utilization, insufficient bidirectional weight modulation, instability and variability, mechanical incompatibility, and lack of system-level integration, which remain major hurdles. These limitations hinder the reliable operation, scalability, and long-term applicability of zero-power optoelectronic synapses in realistic wearable neuromorphic platforms. Finally, this review proposes technological strategies for addressing these challenges. We further outline how these advances could enable practical, scalable, and mechanically compliant synaptic platforms for future energy-autonomous, body-interfaced neuromorphic systems capable of continuous perception and intelligent processing.

Cancers doi: 10.20517/ss.2026.14

Authors: Byungjin Kim,Shichao Ding,Joseph Wang

Aging populations face growing multimorbidity, while episodic clinical assessments fail to capture gradual physiological changes unfolding during daily life. Although wearable technologies enable continuous monitoring, single-modality systems provide incomplete and context-limited insight. This Perspective focuses on hybrid wearable sensors that integrate physical and chemical sensing for geriatric healthcare. Hybrid wearable sensing provides a pathway toward continuous, predictive, and personalized geriatric health management. By monitoring continuously multiple health parameters, such multimodal systems have distinct advantages for real-time monitoring, including early risk detection and more personalized health assessment through the integration of complementary physical and biochemical signals. We discuss recent advances in wearable physical sensors, alongside with emerging wearable chemical sensors, then argue that chem-phys hybrid integration enables more interpretable and clinically actionable assessment of aging trajectories than single-modality wearable systems. Finally, we discuss translational requirements and future prospects, including robust real-world operation, AI-driven inference, and integration with telemedicine and home-based care.

Cancers doi: 10.20517/ss.2025.137

Authors: Yucong Pi,Dazhe Zhao,Kaijun Zhang,Xiao Guan,Yexi Zhou,Nian Dai,Zhe Liu,Yanting Gong,Junwen Zhong

Integrating passive haptic learning (PHL) into paper-based devices offers significant potential for enhancing user immersion and skill acquisition. Herein, we present a compact audio-haptic-coupled paper-based device constructed from flexible, readily available, and eco-friendly materials. The device generates mechanical vibration under low-frequency excitation (~200 Hz), serving as a PHL indicator that can be easily sensed by humans, while higher-frequency excitation (>1,000 Hz) enables the production of diverse musical scales. The device achieves a sound pressure level of 70 dB, which is clearly perceived by audiences. Moreover, it exhibits excellent fatigue resistance, displaying negligible performance degradation even after 43,200 cycles of continuous compression. To improve portability, two compact circuit boards enabling the device to operate in various environments were developed. In practice, volunteers demonstrated improved learning efficiency when using the device integrated with PHL, achieving a ~35% reduction in learning time and 100% performance accuracy.

Cancers doi: 10.20517/ss.2025.128

Authors: Huiyi Zong,Dong Yang,Jin Qian,Kai Wang

Flexible perovskite photovoltaics have reached impressive laboratory efficiencies, but their path toward industrial reality remains fragmented. Conventional fabrication approaches treat chemistry and mechanics as independent variables, overlooking the fact that crystallization in roll-to-roll (R2R) processes occurs under continuous shear, substrate tension, and spatiotemporally varying evaporation fields. This Perspective proposes a chemical-mechanical co-design framework in which precursor solvation chemistry, ink rheology, and coating hydrodynamics are engineered as a coupled system. We discuss how mechanical fields such as shear strain, meniscus forces, and substrate bending, actively modulate nucleation, intermediate phase evolution, and stress relaxation. We further highlight how non-volatile/reactive solvent systems create broader crystallization windows compatible with high-speed slot-die coating. Finally, we outline how intelligent manufacturing, integrated sensing, and AI-assisted control can converge to unlock mechanically compliant, highly uniform, and truly scalable flexible perovskite modules.