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To explore the design and application of digital intelligence quality control technology in drug clinical trials, aiming to improve the quality and efficiency of these trials.
Based on the characteristics and requirements of quality control in drug clinical trials, a digital intelligence quality control model was designed and applied throughout the entire process of drug clinical trials. The system’s performance and security were evaluated.
The digital intelligence quality management system can significantly enhance the accuracy and completeness of clinical trial data, improve the efficiency of drug clinical trials, and strengthen real-time monitoring capabilities to ensure compliance and safety of the trials.
The digital intelligence quality management system can optimize resource allocation, shorten trial duration, and reduce overall costs. It provides new perspectives and methodologies for quality control in drug clinical trials, laying a reliable foundation for the digital transformation of the biopharmaceutical industry.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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