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Systemic chemotherapy has long served as a cornerstone in the management of various malignancies. However, its inherent lack of specificity often leads to significant adverse effects, prompting the exploration of innovative nanomedicine strategies to enhance therapeutic precision. Among these advancements, the engineering of microrobots has emerged as a promising avenue, garnering increasing interest due to their unique capabilities. Microrobots can actively navigate tissues, enabling highly efficient, targeted delivery to cancer sites. Various designs, including tailored motile bacteria, micro engines propelled by gas bubbles, and hybrid sperm-based systems, can be engineered with sophisticated features optimized for the precise targeting of diverse tumour types. This review delves into the potential of microrobots to swiftly and effectively identify cancer cells, highlighting their distinct advantages over traditional delivery methods. Additionally, we provide an overview of the drug loading and release mechanisms employed by these microrobots, underscoring their capacity to enhance therapeutic outcomes. By presenting this comprehensive examination, this manuscript aims to assist clinicians and medical professionals in advancing cancer diagnosis and treatment strategies, potentially reducing the need for invasive surgical interventions.
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http://dx.doi.org/10.1016/j.ijpharm.2025.126017 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Health Services Research & Administration, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States.
Background: With the availability of more advanced and effective treatments, life expectancy has improved among patients with metastatic breast cancer (MBC), but this makes communication with their medical oncologist more complex. Some patients struggle to learn about their therapeutic options and to understand and articulate their preferences. Mobile health (mHealth) apps can enhance patient-provider communication, playing a crucial role in the diagnosis, treatment, quality of life, and outcomes for patients living with MBC.
View Article and Find Full Text PDFMacromol Biosci
September 2025
Department of Chemistry and Biochemistry, Concordia University, Montreal, Quebec, Canada.
Timely and accurate assessment of wounds during the healing process is crucial for proper diagnosis and treatment. Conventional wound dressings lack both real-time monitoring capabilities and active therapeutic functionalities, limiting their effectiveness in dynamic wound environments. Herein, we report our proof-of-concept approach exploring the unique emission properties and antimicrobial activities of carbon nanodots (CNDs) for simultaneous detection and treatment of bacteria.
View Article and Find Full Text PDFNutr Health
September 2025
Independent researcher, Rome, Italy.
Artificial intelligence (AI) is increasingly applied in nutrition science to support clinical decision-making, prevent diet-related diseases such as obesity and type 2 diabetes, and improve nutrition care in both preventive and therapeutic settings. By analyzing diverse datasets, AI systems can support highly individualized nutritional guidance. We focus on machine learning applications and image recognition tools for dietary assessment and meal planning, highlighting their potential to enhance patient engagement and adherence through mobile apps and real-time feedback.
View Article and Find Full Text PDFACS Nano
September 2025
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Vagus nerve stimulation (VNS) is a promising therapy for neurological and inflammatory disorders across multiple organ systems. However, conventional rigid interfaces fail to accommodate dynamic mechanical environments, leading to mechanical mismatches, tissue irritation, and unstable long-term interfaces. Although soft neural interfaces address these limitations, maintaining mechanical durability and stable electrical performance remains challenging.
View Article and Find Full Text PDFCell Mol Biol (Noisy-le-grand)
September 2025
Department of Hematology and Blood Banking, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Despite significant advancements in the treatment of non-small cell lung cancer (NSCLC) using conventional therapeutic methods, drug resistance remains a major factor contributing to disease recurrence. In this study, we aimed to explore the potential benefits of combining PI3K inhibition with Cisplatin in the context of NSCLC-derived A549 cells. Human non-small cell lung cancer A549 cells were cultured and treated with BKM120, cisplatin, or their combination.
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