A common auxiliary method in wound management is the closure step, viz. the restoration of the skin function through reconnecting the wounded tissues. [4] Medical sutures and staples are the most commonly used approaches when joining wound edges. [5] However, these methods are highly invasive and can have detrimental consequences on the surrounding tissues. [6,7] In addition, these methods require professional skills and equipment, limiting their general use outside the hospital. [8] Alternative tissue connecting techniques such as Zipline, a minimal/ noninvasive wound closure device, have been investigated and publicized. [9] Nevertheless, these treatments keep the wound exposed to the environment, resulting in an increased risk of infection, and hindering wound healing. [10] Gauzes, cotton wools, and bandages that are commonly used to close wounds by wrapping or pressing are unreliable and ineffective when treating large injuries. [11,12] Therefore, there is an urgent need for multipurpose materials that combine noninvasive wound closure and dressing functions that can promote healing.Inspired by living systems, several materials with promising self-healing ability have been designed and synthesized for Wound healing represents a major clinical and public healthcare problem that is frequently challenged by infection risks, detrimental consequences on the surrounding tissues, and difficulties to monitor the healing process.Here we report on a novel self-healing, antibacterial, and multifunctional wound dressing for sutureless wound closure and real-time monitoring of the healing parameters. The self-healing elastomer contains cetyltrimethylammonium bromide (CTAB) and has high mechanical toughness (35 MJ m −3 ), biocompatibility, and outstanding antibacterial activity (bactericidal rate is ≈90% in 12 h), enabling the wound dressing to effectively inhibit bacterial growth and accelerate infected wound healing. In vivo tests based on full-thickness skin incision model shows that the multifunctional wound dressing can help in contracting wound edges and facilitate wound closure and healing, as could be evidenced by notably dense and well-organized collagen deposition. The test provides an evidence that the integrated sensor array within the multifunctional wound dressing can monitor temperature, pH, and glucose level of the wound area in real-time, providing reliable and timely information of the condition of the wound. Ultimately, the reported multifunctional dressing would be of high value in managing the burden associated with wound healing via personalised monitoring and treatment approaches, digital and other people-centred solutions for health care.

Flexible ammonia (NH 3 ) sensors based on one-dimensional nanostructures have attracted great attention due to their high flexibility and low power consumption. However, it is still challenging to reliably and cost-effectively fabricate ordered nanostructure-based flexible sensors. Herein, a smartphoneenabled fully integrated system based on a flexible nanowire sensor was developed for real-time NH 3 monitoring. Highly aligned, sub-100 nm nanowires on a flexible substrate fabricated by facile and low-cost soft lithography were used as sensitive elements to produce impedance response. The detection signals were sent to a smartphone and displayed on the screen in real time. This nanowirebased sensor exhibited robust flexibility and mechanical durability. Moreover, the integrated NH 3 sensing system presented enhanced performance with a detection limit of 100 ppb, as well as high selectivity and reproducibility. The power consumption of the flexible nanowire sensor was as low as 3 μW. By using this system, measurements were carried out to obtain reliable information about the spoilage of foods. This smartphone-enabled integrated system based on a flexible nanowire sensor provided a portable and efficient way to detect NH 3 in daily life.

Due to the limited ability of conventional methods and the limited perspective of human diagnostics, patients are often diagnosed incorrectly or at a late stage as their disease condition progresses. They may then undergo unnecessary treatments due to inaccurate diagnoses. In this Perspective, we offer a brief overview on the integration of nanotechnology-based medical sensors and artificial intelligence (AI) for advanced clinical decision support systems to help decision-makers and healthcare systems improve how they approach information, insights, and the surrounding contexts, as well as to promote the uptake of personalized medicine on an individualized basis. Relying on these milestones, wearable sensing devices could enable interactive and evolving clinical decisions that could be used for evidence-based analysis and recommendations as well as for personalized monitoring of disease progress and treatment. We present and discuss the ongoing challenges and future opportunities associated with AI-enabled medical sensors in clinical decisions.

Sodium is a prominent prognostic biomarker for assessing health status, such as dysnatremia. As of now, detection and monitoring of sodium levels in the human body is carried out by means of laborious and bulky laboratory equipmentand/or by offline analysis of various body fluids. Herein, an innovative stretchable, skin‐conformal and fast‐response microneedle extended‐gate FET biosensor is reported for real‐time detection of sodium in interstitial fluids for minimally invasive health monitoring along with high sensitivity, low limit of detection, excellent biocompatibility, and on‐body mechanical stability. The integration of the reported device with a wireless‐data transmitter and the Internet‐of‐Things cloud for real‐time monitoring and long‐term analysis is reported and discussed. This platform would eventually help bringing unlimited possibilities for effecient medical care and accurate clinical decision‐making.