Advances in food and nutrition research, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Язык: Английский
IntechOpen eBooks, Год журнала: 2025, Номер unknown
Опубликована: Март 19, 2025
Advancements in artificial intelligence (AI) and machine learning (ML) have transformed biosensing technologies, enhancing data acquisition, analysis, interpretation biomedical diagnostics. This chapter explores AI integration into biosensing, focusing on natural language processing (NLP), large models (LLMs), augmentation, various paradigms. These technologies improve biosensor sensitivity, precision, real-time adaptability. NLP automates text extraction, while LLMs facilitate complex decision-making using vast datasets. Data augmentation mitigates dataset limitations, strengthening ML model training reducing overfitting. Supervised drives predictive for disease detection, whereas unsupervised uncovers hidden biomarker patterns. Reinforcement optimizes sensor operations, calibration, autonomous control dynamic environments. The discusses case studies, emerging trends, challenges AI-driven biosensing. AI’s convergence with edge computing Internet of Things (IoT)-enabled biosensors enhances processing, latency expanding accessibility resource-limited settings. Ethical concerns, including privacy, interpretability, regulatory compliance, must be addressed responsible applications Future research should focus developing resilient to bias, capable continuous learning, optimized low-power, portable biosensors. Addressing these will enable AI-powered advance precision medicine global healthcare outcomes. Through interdisciplinary approaches, continue drive the evolution next-generation diagnostic solutions.
Язык: Английский
Процитировано
0
Analytical Methods, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
This review summarizes fluorescent nanomaterial probes for dopamine sensing, highlighting FRET, PET, key materials, and spectroscopy methods. It discusses challenges, innovations, future directions in biomedical neurochemical applications.
Язык: Английский
Процитировано
0
Medicinal Chemistry Research, Год журнала: 2025, Номер unknown
Опубликована: Май 8, 2025
Язык: Английский
Процитировано
0
Talanta Open, Год журнала: 2025, Номер unknown, С. 100495 - 100495
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
0
Clinical and Experimental Medicine, Год журнала: 2025, Номер 25(1)
Опубликована: Май 30, 2025
Aptamers, which are intricate synthetic molecules composed of single-stranded DNA and RNA, have recently emerged as groundbreaking instruments in the complex multifaceted realms diagnosing treating diverse challenging cancers, particularly leukemia, a type blood cancer characterized by overproduction abnormal white cells. These innovative chemical antibodies, celebrated for their remarkable cost-effectiveness, unparalleled sensitivity, exceptional precision, provide promising beacon hope arena oncology, field that continuously seeks novel approaches to combat various malignancies. Aptamers fundamentally transforming landscape personalized medicine adeptly specifically targeting aberrantly expressed biomarkers, effectively modulating critical signaling pathways, significantly enhancing efficacy drug delivery systems, thereby optimizing therapeutic outcomes patients. This comprehensive review meticulously highlights recent advancements aptamer-based technologies, showcasing immense potential refine prognostic models, enhance interventions guided presence minimal residual disease, broaden options available patients suffering from high-risk or relapsed forms leukemia. Nevertheless, conjunction with applications, this study also delves into an exploration myriad challenges obstacles may impede realization full clinical healthcare setting.
Язык: Английский
Процитировано
0
Advances in food and nutrition research, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0