Skin‐like electrical sensor has been widely employed for wearable human healthcare monitoring but is limited by electromagnetic interferences, poor waterproof performance, and point‐type measurement. Herein, a skin‐like and stretchable optical fiber (SSOF) sensor with excellent stretchability (up to 100%), flexibility, and excellent compliance with skin is reported. A hybrid coding based on the light intensity difference of two fiber Bragg gratings (FBGs) is created to achieve the resistance for light power fluctuations and the capability of distributed measurement. The SSOF sensor has outstanding durability (>10 000 cycles), waterproofness, and impact resistance. And it can stably work in heat (55 °C) or cold (≈0 °C) environment as well. Furthermore, the SSOF sensor‐based human–computer interaction system is created to achieve the distributed monitoring of physiological parameters and human full‐body movement leading to the enormous potential for virtual reality (VR) and rehabilitation therapy.

Flexible sensors have attracted significant attention for medical applications. Herein, an AI-assisted stretchable polymer-based (AISP) sensor has been developed based on the Beer–Lambert law for disease monitoring and telenursing. Benefiting from the use of superior polymer materials, the AISP sensor features a high tensile strain of up to 100%, durability of >10,000 tests, excellent waterproofness, and no effect of temperature (1.6–60.9 °C). Such advantages support the capability that the AISP can be flexibly pasted on the skin surface as a wearable device for real-time monitoring of multiple physiological parameters. An AISP sensor-based swallowing recognition technique has been proposed with a high accuracy of up to 88.89%. Likewise, it has been expanded to a remote nursing assistance system to meet critical patients’ physiological requirements and daily care. The hands-free communication experiment and robot control applications have also been successfully conducted based on the constructed system. Such merits demonstrate its potential as a medical toolkit and indicate promise for intelligent healthcare.

Soft and stretchable tactile sensors have received extensive attention for their potential applications in wearables, human–robot interaction, and intelligent robots. Herein, inspired by the functions of skin somatosensory signal generation and processing, an artificial intelligence‐motivated skin‐like optical fiber tactile (SOFT) sensor is proposed. It features multifunctional touch interaction capabilities including tactile amplitude and position and tensile strain. Four fiber Bragg gratings (FBGs) are embedded in a skin‐like three‐layer laminate structure of the SOFT sensor, forming a flexible tactile sensing array with a stretchability larger than 20%. Fusing the two‐level cascaded neural network, the position and magnitude of the contact force can be distinguished simultaneously. The recognition accuracy for contact position is up to 92.41% and the error is less than 4.2% within the force range of 0–3.5 N. Several SOFT sensor‐based interactive applications including pressure password interface and music playback are achieved by combining the artificial intelligence spatiotemporal dynamic logic analysis. Furthermore, the sensor is also capable of complex scenes involving tension and tactile sensing, such as dexterous hand perception and human–robot interaction control. This work provides novel insights into artificial intelligence‐based integrated skin that shows broad promise in intelligent prosthetics and bionic robotic.

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Combination therapy has shown great potential for effective cancer treatment. In this work, anticancer drug curcumin (Cur) and photothermal agent indocyanine green (ICG) have been encapsulated into the pH-responsive ZIF-8 simultaneously to obtain ICG&Cur@ZIF-8 through one-pot synthesis method. The drug loading capacity was estimated as 9.6 and 12.3 wt% for Cur and ICG, respectively. As expected, ICG&Cur@ZIF-8 exhib-ited the pH-responsive ICG and Cur delivery, which was ascribed to the decomposition of ZIF-8 in acidic environment. Moreover, ICG&Cur@ZIF-8 also showed the high photothermal performance due to the efficient encapsulation of ICG. The codelivery of two therapeutic agents may bring more opportunities for biomedical application.

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With the rapid popularization and development of Internet, global researchers are increasingly paying more and more attention to anonymity and privacy security. Anonymous communication technology has gradually become people's focus. Attacks against sensors may appear in different layers, so anonymity at network layer should therefore be envisioned. Tor, as one of the anonymous communication systems which implements multi-hop to protect user's identity privacy on the Internet, is currently the most popular anonymous privacy solution, but the concept of Tor has not applied to wireless sensor networks. Therefore, in this article, we think the mix structure of Tor which is crucial to its anonymity can be applied to wireless sensor networks; what's more, an improved path selecting algorithm according to round trip time we propose can boost some degree of performance. First, we make a summary of current typical path selection algorithms and analyze the performance and anonymity problems of these algorithms in network congestion. Then, in order to improve the performance of the algorithm in congestion, a routing improvement scheme based on round trip time is proposed.