The Innovation Medicine最新文献

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Enhancing robotic-assisted surgery training with 3D-printed bio-models: A new era 用3d打印生物模型加强机器人辅助手术训练:一个新时代
The Innovation Medicine Pub Date : 2023-01-01 DOI: 10.59717/j.xinn-med.2023.100031
Sidney Moses Amadi, Zhifei Wang
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引用次数: 0
Universal chimeric antigen receptor-T cells: An opening era for T-cell malignancies 通用嵌合抗原受体- t细胞:t细胞恶性肿瘤的开放时代
The Innovation Medicine Pub Date : 2023-01-01 DOI: 10.59717/j.xinn-med.2023.100028
Jue Wang, Yuhang Chen, Yang Cao, Xiaoxia Hu
{"title":"Universal chimeric antigen receptor-T cells: An opening era for T-cell malignancies","authors":"Jue Wang, Yuhang Chen, Yang Cao, Xiaoxia Hu","doi":"10.59717/j.xinn-med.2023.100028","DOIUrl":"https://doi.org/10.59717/j.xinn-med.2023.100028","url":null,"abstract":"An","PeriodicalId":497982,"journal":{"name":"The Innovation Medicine","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135445155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Quizartinib is a good option for AML patients with FLT3-ITD mutations quizarinib是FLT3-ITD突变AML患者的良好选择
The Innovation Medicine Pub Date : 2023-01-01 DOI: 10.59717/j.xinn-med.2023.100007
Yang Cao, Chunli Zhang, Leqing Cao, Xiaodong Mo, Xiaoxia Hu
{"title":"Quizartinib is a good option for AML patients with FLT3-ITD mutations","authors":"Yang Cao, Chunli Zhang, Leqing Cao, Xiaodong Mo, Xiaoxia Hu","doi":"10.59717/j.xinn-med.2023.100007","DOIUrl":"https://doi.org/10.59717/j.xinn-med.2023.100007","url":null,"abstract":"","PeriodicalId":497982,"journal":{"name":"The Innovation Medicine","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135686460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
First clinical trial of chronic spinal cord injury treated with a single drug 首个单药治疗慢性脊髓损伤的临床试验
The Innovation Medicine Pub Date : 2023-01-01 DOI: 10.59717/j.xinn-med.2023.100029
Kang Lu, Ying Wang
{"title":"First clinical trial of chronic spinal cord injury treated with a single drug","authors":"Kang Lu, Ying Wang","doi":"10.59717/j.xinn-med.2023.100029","DOIUrl":"https://doi.org/10.59717/j.xinn-med.2023.100029","url":null,"abstract":"Department of Clinical Research Center, Hangzhou First People's Hospital, Hangzhou 310006, China *Correspondence: wangying@hmc.edu.cn Received: August 24, 2023; Accepted: September 12, 2023; Published Online: September 13, 2023; https://doi.org/10.59717/j.xinn-med.2023.100029 © 2023 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Citation: Lu K. and Wang Y. (2023). First clinical trial of chronic spinal cord injury treated with a single drug. The Innovation Medicine 1(2), 100029. CALLING FOR NEW THERAPY, THE SPINAL CORD INJURY Spinal Cord Injury (SCI) is a devastating neurological condition that can lead to physical paralysis, psychological stress, and financial burden. SCI is not only a health condition that severely affects the quality of life of patients and their families, but also has important socioeconomic implications, so there is an urgent need to improve the clinical management of patients with SCI. SCI can result in nerve disconnection and persistent neurological deficits, so restoring the neural network through axonal growth is an important strategy to achieve significant neurological recovery. Electrical stimulation therapy, cell therapy, stem cell transplantation, and the use of exoskeleton robots have all been attempted to treat SCI. However, clinical trials of these therapies in patients have not yet provided reproducible evidence of clinical efficacy. Although many targeted preclinical drugs have been evaluated in clinical trials, but few have been made into clinical practice. SCI may remain a challenging condition, there have been no trails using drugs to improve nerve repair after SCI. Excitingly, in the last few days, Stephen M Strittmatter team published in The Lancet Neurology a landmark randomized trial for the first time that demonstrated that a drug can promote nerve repair in chronic SCI. This research may be a breakthrough, indicating drug treatment for SCI is no longer out of reach.","PeriodicalId":497982,"journal":{"name":"The Innovation Medicine","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135445158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ADpred: A non-invasive model for three types of dementia and mild cognitive impairment 三种类型的痴呆和轻度认知障碍的非侵入性模型
The Innovation Medicine Pub Date : 2023-01-01 DOI: 10.59717/j.xinn-med.2023.100026
Huiyu Xu, Guoshuang Feng, Rong Li, Ping Gao, Jie Qiao
{"title":"ADpred: A non-invasive model for three types of dementia and mild cognitive impairment","authors":"Huiyu Xu, Guoshuang Feng, Rong Li, Ping Gao, Jie Qiao","doi":"10.59717/j.xinn-med.2023.100026","DOIUrl":"https://doi.org/10.59717/j.xinn-med.2023.100026","url":null,"abstract":"","PeriodicalId":497982,"journal":{"name":"The Innovation Medicine","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135402154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Artificial intelligence for medicine: Progress, challenges, and perspectives 医学上的人工智能:进展、挑战和前景
The Innovation Medicine Pub Date : 2023-01-01 DOI: 10.59717/j.xinn-med.2023.100030
Tao Huang, Huiyu Xu, Haitao Wang, Haofan Huang, Yongjun Xu, Baohua Li, Shenda Hong, Guoshuang Feng, Shuyi Kui, Guangjian Liu, Dehua Jiang, Zhi-Cheng Li, Ye Li, Congcong Ma, Chunyan Su, Wei Wang, Rong Li, Puxiang Lai, Jie Qiao
{"title":"Artificial intelligence for medicine: Progress, challenges, and perspectives","authors":"Tao Huang, Huiyu Xu, Haitao Wang, Haofan Huang, Yongjun Xu, Baohua Li, Shenda Hong, Guoshuang Feng, Shuyi Kui, Guangjian Liu, Dehua Jiang, Zhi-Cheng Li, Ye Li, Congcong Ma, Chunyan Su, Wei Wang, Rong Li, Puxiang Lai, Jie Qiao","doi":"10.59717/j.xinn-med.2023.100030","DOIUrl":"https://doi.org/10.59717/j.xinn-med.2023.100030","url":null,"abstract":"<p>Artificial Intelligence (AI) has transformed how we live and how we think, and it will change how we practice medicine. With multimodal big data, we can develop large medical models that enables what used to unimaginable, such as early cancer detection several years in advance and effective control of virus outbreaks without imposing social burdens. The future is promising, and we are witnessing the advancement. That said, there are challenges that cannot be overlooked. For example, data generated is often isolated and difficult to integrate from both perspectives of data ownership and fusion algorithms. Additionally, existing AI models are often treated as black boxes, resulting in vague interpretation of the results. Patients also exhibit a lack of trust to AI applications, and there are insufficient regulations to protect patients�� privacy and rights. However, with the advancement of AI technologies, such as more sophisticated multimodal algorithms and federated learning, we may overcome the barriers posed by data silos. Deeper understanding of human brain and network structures can also help to unravel the mysteries of neural networks and construct more transparent yet more powerful AI models. It has become something of a trend that an increasing number of clinicians and patients will implement AI in their life and medical practice, which in turn can generate more data and improve the performance of models and networks. Last but not the least, it is crucial to monitor the practice of AI in medicine and ensure its equity, security, and responsibility.</p>","PeriodicalId":497982,"journal":{"name":"The Innovation Medicine","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135496011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Prediction of angle closure after laser peripheral iridotomy: The fourteen-year Zhongshan Angle Closure Prevention trial 激光虹膜周围切开术后闭角预测:中山预防闭角14年试验
The Innovation Medicine Pub Date : 2023-01-01 DOI: 10.59717/j.xinn-med.2023.100033
Yixiong Yuan, Shaopeng Yang, Wei Wang, Benjamin Y. Xu, Cong Li, Ruilin Xiong, Chimei Liao, Jian Zhang, Qiuxia Yin, Yingfeng Zheng, David S. Friedman, Paul J. Foster, Mingguang He
{"title":"Prediction of angle closure after laser peripheral iridotomy: The fourteen-year Zhongshan Angle Closure Prevention trial","authors":"Yixiong Yuan, Shaopeng Yang, Wei Wang, Benjamin Y. Xu, Cong Li, Ruilin Xiong, Chimei Liao, Jian Zhang, Qiuxia Yin, Yingfeng Zheng, David S. Friedman, Paul J. Foster, Mingguang He","doi":"10.59717/j.xinn-med.2023.100033","DOIUrl":"https://doi.org/10.59717/j.xinn-med.2023.100033","url":null,"abstract":"<p>Anterior chamber angles in primary angle closure suspects (PACS) can continue to narrow after laser peripheral iridotomy (LPI). The aim of this study is to identify risk factors and develop prediction models for the progression in LPI-treated eyes during a 14-year follow-up. From 2008 to 2010, 889 Chinese participants aged 50-70 years with bilateral PACS were enrolled in the Zhongshan Angle Closure Prevention (ZAP) trial and received LPI in one randomly selected eye. Examinations before LPI included Goldmann tonometry, ultrasound A-scan biometry, both light-room and dark-room anterior-segment optical coherence tomography (AS-OCT). Logistic regression models were built to predict the 14-year risk of progression in PACS eyes after LPI (peripheral anterior synechiae, intraocular pressure [IOP] ��24mmHg, or acute angle closure). Within 370 eligible PACS eyes, 26 progressed to PAC during 14 years after LPI. For both light-room and dark-room AS-OCT metrics before LPI, the narrowing of anterior chamber angle was identified as risk factor for the 14-year risk of progression in LPI-treated PACS eyes. In addition, change in IOP after dark-room prone provocative test and change in lens vault from light to dark before LPI were found to be negatively associated with the risk of progression during 14 years after LPI. Based on aforementioned predictors, multivariable logistic models provided good performance in the prediction for long-term risk of progression after LPI (area under the curve = 0.80-0.84). This study suggested that closer monitoring is still required for PACS eyes at high risk of progression even after prophylactic LPI.</p>","PeriodicalId":497982,"journal":{"name":"The Innovation Medicine","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135712016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ChatGPT: The doctor's assistant? 医生助理?
The Innovation Medicine Pub Date : 2023-01-01 DOI: 10.59717/j.xinn-med.2023.100034
Chengliang Yin, Jiqi Zheng, Jiayu Liu, Jianning Zhang, Kunlun He
{"title":"ChatGPT: The doctor's assistant?","authors":"Chengliang Yin, Jiqi Zheng, Jiayu Liu, Jianning Zhang, Kunlun He","doi":"10.59717/j.xinn-med.2023.100034","DOIUrl":"https://doi.org/10.59717/j.xinn-med.2023.100034","url":null,"abstract":"","PeriodicalId":497982,"journal":{"name":"The Innovation Medicine","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135611070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamic functional connectivity assesses the progression of Parkinson��s disease 动态功能连接评估帕金森病的进展
The Innovation Medicine Pub Date : 2023-01-01 DOI: 10.59717/j.xinn-med.2023.100027
Zhibao Li, Wei Chen, Xiaoyu Zeng, Jun Ni, Yuzhu Guo, Hua Zhang, Yang Li, Yina Ma, Fangang Meng
{"title":"Dynamic functional connectivity assesses the progression of Parkinson��s disease","authors":"Zhibao Li, Wei Chen, Xiaoyu Zeng, Jun Ni, Yuzhu Guo, Hua Zhang, Yang Li, Yina Ma, Fangang Meng","doi":"10.59717/j.xinn-med.2023.100027","DOIUrl":"https://doi.org/10.59717/j.xinn-med.2023.100027","url":null,"abstract":"<p>Parkinson��s disease (PD) induces functional connectivity (FC) changes during its course. However, the impact of PD progression on the temporal properties of FC remains ambiguous. In the current study, we aimed to uncover longitudinal shifts in dynamic FC (DFC) temporal properties of brain networks during PD progression, proposing a novel biomarker for PD progression evaluation. We conducted a longitudinal study on 45 PD patients from the Parkinson��s Progression Markers Initiative database. Patients underwent dual-timepoint neurological assessments and resting-state fMRI scans at baseline and 1-4 years of subsequent follow-up. The sliding-window technique and k-means clustering were employed to scrutinize DFC patterns of the entire brain network, including individual cortical subnetworks and subcortical nuclei (SN) at every timepoint. From this analysis, DFC analyses revealed two predominant states: a high-frequency sparse FC state and a low-frequency intense FC state. For the entire brain network, the mean dwell time (MDT) in the sparse FC state diminished with PD progression, and this decrease was closely tied to motor deterioration. Concerning cortical subnetworks and SN, MDTs in the sparse FC state reduced at the second timepoint in both visual (VN) and limbic networks (LN) linked with the SN. The MDT reduction in LN-SN positively correlated with cognitive decline, while the MDT reduction in VN-SN showed a strong link with motor degradation. These results emphasize that DFC might offer insights into the evolving brain dynamics in PD patients over the disease's course, underscoring its prospective utility as a progression biomarker.</p>","PeriodicalId":497982,"journal":{"name":"The Innovation Medicine","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135440882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Geographical and sexual disparities of lung cancer mortality trends in China: A population-based study 中国肺癌死亡率趋势的地理和性别差异:一项基于人群的研究
The Innovation Medicine Pub Date : 2023-01-01 DOI: 10.59717/j.xinn-med.2023.100032
Wenkai Huang, Guanghong Zhai, Hang Dong, Guozhen Lin, Jun Yang, Mengmeng Li
{"title":"Geographical and sexual disparities of lung cancer mortality trends in China: A population-based study","authors":"Wenkai Huang, Guanghong Zhai, Hang Dong, Guozhen Lin, Jun Yang, Mengmeng Li","doi":"10.59717/j.xinn-med.2023.100032","DOIUrl":"https://doi.org/10.59717/j.xinn-med.2023.100032","url":null,"abstract":"<p>Lung cancer (LC) is one of the major causes of cancer deaths in China. Death burden and mortality of LC vary according to sexes and regions. We aimed to comprehensively evaluate the geographical and sexual disparities in LC mortality trends in China, and a further age-period-cohort analysis to explore underlying factors. LC mortality data during 2004-2021 were extracted from the Disease Surveillance Points system. Annual age-standardized mortality rates (ASMR) were calculated for 36 sub-populations by sex, urban-rural status and geographical regions. The age-period-cohort model was applied to investigate age, period and cohort effects on mortality trends. Time trends of ASMR for LC overall did not show statistical significance during 2004-2021, but contrasting patterns were observed between cities and countryside, with annual average percent changes of -1.58% (95%CI, -2.11%- -1.05%) and 0.57% (95%CI, 0.07%- 1.07%), respectively. ASMR of LC decreased in eastern and central regions and increased markedly in western region. Cohort effects illustrated a downward trend in cities, but an inverted U-shape curve peaking around the 1950s appeared in the countryside, and the decreasing trends were slower in the western region. There are substantial geographical and sexual disparities in LC mortality trends in China, notably with unfavorable trends in the western countryside. The variation in cohort effects on the mortality trends implies the importance of taking region- and population-specific primary prevention strategies to reduce the disease burden of LC in China.</p>","PeriodicalId":497982,"journal":{"name":"The Innovation Medicine","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135447137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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