Tumors increasingly threaten human health, with rising incidence and mortality rates. Treatment complexity, including individual differences and tumor molecular characteristics, limits clinical application potential. Ferroptosis, a new strategy for tumor treatment, has stirred much interest. However, the dense properties and unique physiological environment of tumor tissues limit the ability of ferroptosis agents to work inside tumors. In this study, intelligent temperature and pH dual-responsive nanocapsules were designed for tumor therapy. The nanocapsules leverage the unique physiological environment of tumors, where both acidity and temperature can be exploited to trigger drug release. The core materials of the nanocapsules are a polylactic acid-glycolic acid copolymer and poly(N-isopropyl acrylamide), which ensure biocompatibility and responsiveness to the tumor microenvironment. These nanocapsules encapsulate amorphous iron nanoparticles as ferroptosis agents and tirapazamine as a chemotherapeutic drug, enabling a combination therapy approach. Once introduced into the tumor, the nanocapsules change size in response to the local acidic and thermal conditions, releasing their payload. This targeted approach enhances drug delivery efficiency, reduces toxicity to surrounding healthy tissues, and promotes ferroptosis in tumor cells. The study demonstrated the nanocapsules’ ability to inhibit tumor growth both in vitro and in vivo while maintaining excellent biocompatibility and biosafety, making it a promising candidate for advanced cancer therapies.

Self-powered sensors, which derive energy from environmental or physiological sources, provide a sustainable approach to eliminating the reliance on external power supplies. They enable the autonomous operation of sensing systems, paving the way for the increasingly expanding Internet of things (IoTs). The integration of artificial intelligence (AI) into these systems for healthcare has significantly advanced their capabilities in processing complex signals, extracting meaningful features, and delivering high-precision health insights. This review explores the latest advancement in self-powered sensors, involving the various applications of piezoelectricity, triboelectricity, electromagnetism, thermoelectricity, photovoltaics, and biofuel cells in healthcare. The applications of AI methodologies in self-powered sensing systems are covered and reviewed, addressing challenges like noise reduction, data analysis, and multisignal fusion. Future directions emphasize leveraging material innovation, manufacturing technology, structural optimization, and further integration of AI technology, to achieve multifunctional, high-performance, and intelligentized healthcare sensing systems. These developments underscore the potential of AI-assisted self-powered sensors to revolutionize healthcare with sustainable, precise, and intelligent solutions.

Benzothiazole derivatives have emerged as promising candidates in the field of cancer treatment due to their unique chemical properties and potent biological activities. This review comprehensively examines the synthetic methodologies employed in the development of benzothiazole derivatives and explores their mechanisms of anticancer action, including cell cycle arrest, apoptosis induction, and inhibition of angiogenesis and metastasis. Additionally, the review highlights recent preclinical and clinical studies that underscore the therapeutic potential of these compounds. By comparing benzothiazole derivatives with existing anticancer agents and discussing future research directions, this review aims to provide a detailed understanding of their role in cancer therapy and their potential for drug development.