DOI: 10.57760/sciencedb.16610
title: The Development of Technological Biomedical Engineering
title: 科技生物医学工程的培养数据

description: In 2024, the field of cellular medicine engineering is in a flourishing stage of development. With the continuous advancement of technology and the deepening of research, the application of datasets in the field of cell culture has become increasingly common. The establishment and use of datasets are of great significance for researchers to better understand the mechanisms of cell growth, differentiation, and disease development, thereby promoting the development of cellular medical engineering. In the field of cell medicine engineering in 2024, the establishment of datasets mainly involves the following aspects: 1. Cell culture condition datasets: This type of dataset records the growth of different cells under different culture conditions, including factors such as medium composition, temperature, humidity, gas concentration, etc. By analyzing these data, researchers can find the most suitable culture conditions for a certain type of cell growth, thereby improving the growth rate and yield of cells. 2. Cell phenotype dataset: This type of dataset records the morphological, physiological, and molecular biological characteristics of cells at different growth stages. By comparing the phenotype data of different cells, researchers can understand the function of cells and provide reference for cell differentiation and application. 3. Cell signaling pathway datasets record the regulatory mechanisms of intracellular and extracellular signaling pathways, including cytokines, receptors, signaling molecules, etc. By analyzing these data, researchers can reveal the signaling network of cells, providing theoretical support for the treatment of diseases and the application of cell engineering. In summary, the field of cellular medicine engineering in 2024 will place greater emphasis on the establishment and application of datasets. Through big data analysis and the application of artificial intelligence technology, the development process of cellular medicine engineering will be accelerated, making greater contributions to human health and the progress of life sciences. 
description: In 2024, the field of cellular medicine engineering is in a flourishing stage of development. With the continuous advancement of technology and the deepening of research, the application of datasets in the field of cell culture has become increasingly common. The establishment and use of datasets are of great significance for researchers to better understand the mechanisms of cell growth, differentiation, and disease development, thereby promoting the development of cellular medical engineering. In the field of cell medicine engineering in 2024, the establishment of datasets mainly involves the following aspects: 1. Cell culture condition datasets: This type of dataset records the growth of different cells under different culture conditions, including factors such as medium composition, temperature, humidity, gas concentration, etc. By analyzing these data, researchers can find the most suitable culture conditions for a certain type of cell growth, thereby improving the growth rate and yield of cells. 2. Cell phenotype dataset: This type of dataset records the morphological, physiological, and molecular biological characteristics of cells at different growth stages. By comparing the phenotype data of different cells, researchers can understand the function of cells and provide reference for cell differentiation and application. 3. Cell signaling pathway datasets record the regulatory mechanisms of intracellular and extracellular signaling pathways, including cytokines, receptors, signaling molecules, etc. By analyzing these data, researchers can reveal the signaling network of cells, providing theoretical support for the treatment of diseases and the application of cell engineering. In summary, the field of cellular medicine engineering in 2024 will place greater emphasis on the establishment and application of datasets. Through big data analysis and the application of artificial intelligence technology, the development process of cellular medicine engineering will be accelerated, making greater contributions to human health and the progress of life sciences.