Navigating the biomechanical landscape: Enhanced methods for drug analysis

  • Shanghui Sun College of Pharmacy, Heilongjiang University of Chinese Medicine, Harbin 150006, China
Keywords: drug analysis; cardiovascular disease; biomechanical landscape; wearable body sensor network; artificial neural network
Ariticle ID: 130

Abstract

In drug analysis and detection, chemiluminescence is a standard technical method based on the idea that the concentration of observed substances in the chemical detection system and the chemical luminescence intensity establish a linear quantitative relationship under certain conditions. Bio-mechanical landscape (BML), which uses bioengineered systems to simulate essential elements of the human tumour microenvironment, is already enhancing cancer biology and aiding clinical translation. The majority of illicit substances have dangerous cardiovascular side effects that might range from an irregular heartbeat to a heart attack. Cardiovascular disease, including blocked veins and bacterial infections of the blood arteries and heart valves, may also result from injecting illicit narcotics. The challenging characteristics of such a cardiovascular disease using drug analysis are heart failure, low blood pressure and headaches. Hence, in this research, drug analysis has improved wearable body sensor network-enabled artificial neural network (WBSN-ANN) technologies for cardiovascular disease. Medicine and drug development because they provide information on patient status in the clinical context and vital information on pharmacodynamics activity, effectiveness, and safety throughout the research process. The process results in a research-intensive organization finding a novel chemical or biological compound and developing it into a medicine that patients can legally utilize for drug discovery and development.

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Published
2024-07-23
How to Cite
Sun, S. (2024). Navigating the biomechanical landscape: Enhanced methods for drug analysis. Molecular & Cellular Biomechanics, 21, 130. https://doi.org/10.62617/mcb.v21.130
Section
Article