Nucleic acid elements are essential functional sequences that play critical roles in regulating gene expression, optimizing pathways, and enabling gene editing to enhance the production of target products in biomanufacturing. Therefore, the design and optimization of these elements are crucial in constructing efficient cell factories. Artificial intelligence (AI) provides robust support for biomanufacturing by accurately predicting functional nucleic acid elements, designing and optimizing sequences with quantified functions, and elucidating the operating mechanisms of these elements. In recent years, AI has significantly accelerated the progress in biomanufacturing by reducing experimental workloads through the design and optimization of promoters, ribosome-binding sites, terminators, and their combinations. Despite these advancements, the application of AI in biomanufacturing remains limited due to the complexity of biological systems and the lack of highly quantified training data. This review summarizes the various nucleic acid elements utilized in biomanufacturing, the tools developed for predicting and designing these elements based on AI algorithms, and the case studies showcasing the applications of AI in biomanufacturing. By integrating AI with synthetic biology and high-throughput techniques, we anticipate the development of more efficient tools for designing nucleic acid elements and accelerating the application of AI in biomanufacturing.
Artificial Intelligence ; Synthetic Biology ; Nucleic Acids/genetics* ; Algorithms ; Gene Editing ; Promoter Regions, Genetic ; Biotechnology/methods*

Objective To evaluate the application of three deep learning algorithms in automatic segmentation of clinical target volumes (CTVs) in high-dose-rate brachytherapy after surgery for endometrial carcinoma. Methods A dataset comprising computed tomography scans from 306 post-surgery patients with endometrial carcinoma was divided into three subsets: 246 cases for training, 30 cases for validation, and 30 cases for testing. Three deep convolutional neural network models, 3D U-Net, 3D Res U-Net, and V-Net, were compared for CTV segmentation. Several commonly used quantitative metrics were employed, i.e., Dice similarity coefficient, Hausdorff distance, 95th percentile of Hausdorff distance, and Intersection over Union. Results During the testing phase, CTV segmentation with 3D U-Net, 3D Res U-Net, and V-Net showed a mean Dice similarity coefficient of 0.90 ± 0.07, 0.95 ± 0.06, and 0.95 ± 0.06, a mean Hausdorff distance of 2.51 ± 1.70, 0.96 ± 1.01, and 0.98 ± 0.95 mm, a mean 95th percentile of Hausdorff distance of 1.33 ± 1.02, 0.65 ± 0.91, and 0.40 ± 0.72 mm, and a mean Intersection over Union of 0.85 ± 0.11, 0.91 ± 0.09, and 0.92 ± 0.09, respectively. Segmentation based on V-Net was similarly to that performed by experienced radiation oncologists. The CTV segmentation time was < 3.2 s, which could save the work time of clinicians. Conclusion V-Net is better than other models in CTV segmentation as indicated by quantitative metrics and clinician assessment. Additionally, the method is highly consistent with the ground truth, reducing inter-doctor variability and treatment time.

Objective:To analyze the current situation of dosimetry audits for linear accelerators in China comprehensively based on the literature, including the range of output dose deviation and the qualified rate of output dose deviation.Methods:Literature search including non-full-text was carried out in CNKI database for literature on output dose verification using dosimeter comparison and quality control test, respectively. Data extraction and analysis were carried out for each kind of eligible literature. The data on the number of tested linear accelerators, the number of qualified linear accelerators, the qualified rate of output dose deviation and the range of output dose deviation were extracted, and the total qualified rate of output dose deviation was calculated based on the total number of tested linear accelerators and the total number of qualified linear accelerators. The data on qualified rate of output dose deviation and output dose deviation in past years were sorted out and their trend was analyzed.Results:A total of 11 literatures using dosimeter comparison method for output dose verification were retrieved, and the total qualified rate of the output dose deviation reported in these literatures was 90.7%. The qualified rate of the output dose deviation in the early years was either as low as 75% or as high as 100%, and remained around 90% in recent years. A total of 19 literatures using quality control test method for output dose verification were retrieved, and the total qualified rate of X-ray and electron beam output dose deviation reported in these literatures was 86.5% and 78.4%, respectively. Of the 12 data on X-ray output dose qualified rate in 2014-2019, 8 were below 90.0% and 4 were above 90.0%. Of the 7 data on X-ray output dose qualified rate in 2020-2023, 2 were below 90.0% and 5 were greater than or equal to 90.0%. The qualified rate of electron beam output dose was 46.2%-80.0% before 2021 and 100% from 2021 to 2023.Conclusions:The qualified rate of the output dose deviation of linear accelerators in China reported in the literature in recent years is on the rise, but the total qualified rate of the output dose deviation of linear accelerators in China is still lower than in developed countries. In order to ensure the therapeutic effect of the patients undergoing radiotherapy, measures should be taken to reduce the output dose deviation of linear accelerators and improve the level of qualified rate of output dose verification.

Objective:To analyze the current situation of dosimetry audits for linear accelerators in China comprehensively based on the literature, including the range of output dose deviation and the qualified rate of output dose deviation.Methods:Literature search including non-full-text was carried out in CNKI database for literature on output dose verification using dosimeter comparison and quality control test, respectively. Data extraction and analysis were carried out for each kind of eligible literature. The data on the number of tested linear accelerators, the number of qualified linear accelerators, the qualified rate of output dose deviation and the range of output dose deviation were extracted, and the total qualified rate of output dose deviation was calculated based on the total number of tested linear accelerators and the total number of qualified linear accelerators. The data on qualified rate of output dose deviation and output dose deviation in past years were sorted out and their trend was analyzed.Results:A total of 11 literatures using dosimeter comparison method for output dose verification were retrieved, and the total qualified rate of the output dose deviation reported in these literatures was 90.7%. The qualified rate of the output dose deviation in the early years was either as low as 75% or as high as 100%, and remained around 90% in recent years. A total of 19 literatures using quality control test method for output dose verification were retrieved, and the total qualified rate of X-ray and electron beam output dose deviation reported in these literatures was 86.5% and 78.4%, respectively. Of the 12 data on X-ray output dose qualified rate in 2014-2019, 8 were below 90.0% and 4 were above 90.0%. Of the 7 data on X-ray output dose qualified rate in 2020-2023, 2 were below 90.0% and 5 were greater than or equal to 90.0%. The qualified rate of electron beam output dose was 46.2%-80.0% before 2021 and 100% from 2021 to 2023.Conclusions:The qualified rate of the output dose deviation of linear accelerators in China reported in the literature in recent years is on the rise, but the total qualified rate of the output dose deviation of linear accelerators in China is still lower than in developed countries. In order to ensure the therapeutic effect of the patients undergoing radiotherapy, measures should be taken to reduce the output dose deviation of linear accelerators and improve the level of qualified rate of output dose verification.

Objective To obtain the medical exposure frequency data of residents through a questionnaire survey on mobile phone networks in the community, and to analyze the main influencing factors. Methods A snowball sampling method was used to expand the sampling from medical staff in a county hospital to the community. The questionnaire included personal information such as occupation category, type of medical insurance, and education level as well as basic radiation-related knowledge and medical exposure type and frequency of respondents received in 2021. A logistic regression model was used to analyze the influencing factors of medical exposure. Results A total of 223 respondents were investigated, and 12.56% of them received radiological diagnosis and radiotherapy in 2021. The proportion of males receiving medical exposure was significantly higher than that of females (19.64% vs 10.18%). The likelihood of the person receiving medical exposure increased considerably with age, with the proportion of residents receiving medical exposure at 20, 30, 40, and 50 years of age being 6.25%, 7.95%, 19.23%, and 33.33%, respectively. Of persons who received medical exposure, 57.14% underwent CT scans. Persons participating in the new rural cooperative medical system were likely less to receive radiological diagnosis and radiotherapy than urban workers and residents (OR = 0.55, CI:0.13-2.23, P > 0.05). Conclusion Questionnaire survey in the community can obtain more information about the medical exposure of residents, and age and type of medical insurance are important factors affecting the frequency of medical exposure.

Objective:To study the healthcare level (HCL) in China and its influencing factors.Methods:By using the data reported in the China statistical yearbook published by the National Bureau of Statistics and in other public literature, HCL was calculated in terms of the number of population and physicians in the whole country and various provinces. Multiple regression was used to analyze the relationship between HCL and regional population, area, number of administrative divisions and gross domestic product (GDP). Pearson correlation analysis was applied to analyze the relationship between healthcare level and medical radiation frequency. Results:Since 2015, Chinese HCL value was lower than 1 000, but there were two provinces with HCL value greater than 1 000 in 2019. Population and GDP were the influencing factors for the HCL, with correlation coefficients of 0.416 and -0.583, respectively. There was a correlation between HCL and medical exposure frequency of Chinese population( r= -0.620, P=0.028). Conclusions:Chinese HCL value was 542 in 2020, but there has been great differences between various provinces. HCL as an indicator of medical exposure assessment needs further research in China.

Objective To address the absence of matrix specified for the determination of intrinsic uniformity in the current standard, and to investigate the effect of source distances on intrinsic spatial linearity, the intrinsic uniformity and intrinsic spatial linearity of 16 probes in eight SPECT devices were measured and analyzed with different matrices and source distances, in order to determine the optimal measurement conditions. Methods According to the standard Specification for Testing of Quality Control in Gamma Cameras and Single Photon Emission Computed Tomograph (SPECT) (WS 523—2019), the intrinsic uniformity was measured using 64 × 64 and 256 × 256 matrices and the intrinsic spatial linearity was measured using of 1.7 and 3 m source distances. Results When intrinsic uniformity was measured with the 64 × 64 matrix, more than 50% of the probes showed lower values. When intrinsic spatial linearity was measured with the 3 m source distance, more probes showed lower values. Conclusion The 64 × 64 matrix is recommended for the determination of intrinsic uniformity and a source distance of ＞5 FOV is recommended for the measurement of intrinsic spatial linearity.

With the rapid development of pet hospitals and the increasing application of radiological diagnosis in China, the protection of staff and assistants in these hospitals is worthy of attention. Based on the progress in international management and research with respect to radiological diagnosis and protection in animal hospitals, this paper presents a brief review of the current situation, existing problems and management regulations of animal hospitals in China. It summarizes typical issues that may be encountered in radiation protection by government departments, animal hospitals, radiation professionals and assistants in animal hospitals. It also puts forward the key points of radiation protection in animal hospitals in China, which can provide scientific suggestion to assist government in decision-making and standardizing and improving the radiation protection in animal hospitals.

Objective:To evaluate the radiation shielding performance for a novel self-shielded ZAP-X radiotherapy system used for intra-cranial and neck treatments. The present evaluation was performed according to the relevant Chinese national standards and the clinical placement of the radiotherapy system in an unshielded treatment room.Methods:The radiation source of the ZAP-X was a 3 MV linear accelerator. A total of 33 detection sites were selected surrounding the self-shielded system at 1.3, 2.3 and 3.3 m away from the periphery of the equipment. The maximum ambient dose equivalent rate in each irradiation condition was measured accordingly. A commonly used clinical treatment plan was selected to simulate the treatment process. During the delivery of this treatment plan, the cumulative doses of these 33 sites were measured, separately. The applicable current radiation protection standard for radiotherapy in China was chosen to evaluate the radiation shielding performance of the system.Results:According to the measurement result of the ambient dose equivalent rates along the aforementioned perimeter lines, a suggestion was put forward to redefine the existing 1 m controlled area by determining the distance at which the instantaneous dose rate of 10 μSv/h will not be exceeded. This is to meet the requirements of the Chinese standard GBZ 121-2020.Conclusions:According to the existing Chinese national radiation protection standards, the self-shielded radiotherapy system in the unshielded treatment room has the clinical applicability in China. But for such a novel self-shielded system, the corresponding performance testing and radiation protection standards shall be formulated.

Objective:To analyze the influencing factors on initial testing qualified rate of condition monitoring of digital radiography (DR) devices in China and provide the scientific basis for key points of national medical radiation protection monitoring work.Methods:The data of quality control detection of DR devices, reported by 31 provinces in 2020, were collected from National Radiation Health Information Platform-National Medical Radiation Protection Monitoring System. Logistic regression was used to analyze the related influencing factors of initial testing qualified rate of condition monitoring of DR devices.Results:The result of logistic regression analysis showed that the nature of radiological health technical service institutions, the level of medical and health institution and the regions where they are located in China were the independent influencing factors of initial testing qualified rate of condition monitoring of DR devices ( χ2=15.41-21.18, P < 0.05). Private institution group ( OR=1.714, 95% CI: 1.310-2.243), tertiary hospital group ( OR=1.710, 95% CI: 1.310-2.232) and secondary hospital group ( OR=1.540, 95% CI: 1.203-1.971) had a higher qualified probability of DR devices, while western region group ( OR=0.670, 95% CI: 0.526-0.852) had a lower qualified probability of DR devices. Conclusions:Supervision on quality control of DR devices should be strengthened, such as strengthening the random inspection and double-check to the devices. And great attention should be paid to the quality control testing of DR devices in the western China and in the primary and ungraded hospitals.