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  • 1
    In: Biomedicine & Pharmacotherapy, Elsevier BV, Vol. 107 ( 2018-11), p. 1294-1301
    Type of Medium: Online Resource
    ISSN: 0753-3322
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2018
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  • 2
    Online Resource
    Online Resource
    Cambridge University Press (CUP) ; 2023
    In:  Robotica Vol. 41, No. 4 ( 2023-04), p. 1179-1202
    In: Robotica, Cambridge University Press (CUP), Vol. 41, No. 4 ( 2023-04), p. 1179-1202
    Abstract: Metamorphic robots are a new type of unmanned vehicle that can reconfigure and morph between a car mode and a biped walking machine mode. Such a vehicle is superior in trafficability because it can drive at high speeds on its wheels on structured pavement and walk on its legs on unstructured pavement. An engineering prototype of a metamorphic robot was proposed and designed based on the characteristics of wheeled–legged hybrid motion, and reconfiguration planning of the robot was conducted. A kinematics model of the reconfiguration process was established using the screw theory for metamorphic robots. To avoid component impact during the rapid global reconfiguration and achieve smoothness of the reconfiguration process, a rotation rule for each rotating joint was designed and the kinematics model was used to simulate and validate the motion of the system’s end mechanism (front frame) and the entire robot system. Based on the kinematics model and the rotation rules of the rotating joints, a zero-moment point (ZMP) calculation model of the entire robot mechanism in the reconfiguration process was established, and the stability of the reconfiguration motions was evaluated based on the ZMP motion trajectory. The foot landing position was optimized to improve the robot’s stability during the reconfiguration. Finally, the smoothness and stability of the reconfiguration motion were further validated by testing the prototype of the metamorphic robot.
    Type of Medium: Online Resource
    ISSN: 0263-5747 , 1469-8668
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2023
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  • 3
    In: Open Life Sciences, Walter de Gruyter GmbH, Vol. 19, No. 1 ( 2024-05-08)
    Abstract: A comprehensive survey was carried out to investigate the genetic etiology of short stature in children by whole exon sequencing of a core family cohort to find and study mutations in multiple genes to assess their potential correlations to low height in children. The study included 56 pediatric patients from the Department of Pediatrics at the Zhangzhou Affiliated Hospital of Fujian Medical University. The participants met strict inclusion criteria, including age, Han Chinese ethnicity, low height standard deviation score, and the absence of known causes for short stature. Core pedigrees were identified using exome sequencing. After sequencing, variations were categorized and interpreted according to a variety of factors, including inheritance, location, type, and disease-causing gene databases. Variants were verified by Sanger sequencing. Most of the 97 gene mutations were missense. ACAN, PHEX, and COL2A1 were the most common gene mutations. Copy number variations were identified, particularly associated with the PHEX gene. Protein functional studies revealed that the mutations had a considerable influence on disease-promoting damage. The chromosomal locations with the highest enrichment of these genes were chr12, chr5, and chr2. In conclusion, the study revealed numerous genetic changes that may substantially impact physiological processes and disease. These findings establish the basis for further investigations into their diagnostic and therapeutic capabilities.
    Type of Medium: Online Resource
    ISSN: 2391-5412
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2024
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    SSG: 12
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  • 4
    In: BMC Pediatrics, Springer Science and Business Media LLC, Vol. 22, No. 1 ( 2022-12)
    Abstract: Lung recruitment is a maneuver used to decrease the length of intubation in preterm neonates. This study aimed to compare the therapeutic efficacy of lung recruitment plus intubation-surfactant-extubation (INSURE) procedure and INSURE alone for the preterm neonates with respiratory distress syndrome. Methods From 2017 to 2019, 184 preterm neonates (gestational age 24–32 weeks) with respiratory distress syndrome were enrolled and randomized into the lung recruitment group receiving lung recruitment (25 cm H 2 O, 15 s) plus INSURE and the control group receiving INSURE only. The primary outcome was the need for mechanical ventilation (MV) within 72 h after extubation. The secondary outcomes included duration of MV, noninvasive ventilation, total oxygen therapy, hospitalization time, and complications. Results Compared to the control group, the lung recruitment group had a significantly lower proportion of preterm neonates requiring MV within 72 h after extubation (23% vs. 38%, P  = 0.025) and pulmonary surfactant administration, as well as a shorter MV duration. There was no significant difference in the incidences of complications (all P   〉  0.05) and in-hospital mortality (2% vs. 4%, P  = 0.4) between the lung recruitment group and control group. Multivariate logistic regression analysis demonstrated that the control group had a 2.17-time higher risk of requiring MV than the lung recruitment group (AOR: 2.17, 95% CI: 1.13–4.18; P  = 0.021). Compared with infants with a normotensive mother, infants with a hypertensive mother have a 2.41-time higher risk of requiring MV (AOR: 2.41, 95% CI: 1.15–5.05; P  = 0.020). Conclusion Lung recruitment plus INSURE can reduce the need for MV within 72 h after extubation and did not increase the incidence of complications and mortality. Trial registration Chinese Clinical Trial Registry ChiCTR1800020125 , retrospectively registered on December 15, 2018.
    Type of Medium: Online Resource
    ISSN: 1471-2431
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
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  • 5
    In: Nature Medicine, Springer Science and Business Media LLC, Vol. 30, No. 2 ( 2024-02), p. 584-594
    Abstract: Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. The risk of DR progression is highly variable among different individuals, making it difficult to predict risk and personalize screening intervals. We developed and validated a deep learning system (DeepDR Plus) to predict time to DR progression within 5 years solely from fundus images. First, we used 717,308 fundus images from 179,327 participants with diabetes to pretrain the system. Subsequently, we trained and validated the system with a multiethnic dataset comprising 118,868 images from 29,868 participants with diabetes. For predicting time to DR progression, the system achieved concordance indexes of 0.754–0.846 and integrated Brier scores of 0.153–0.241 for all times up to 5 years. Furthermore, we validated the system in real-world cohorts of participants with diabetes. The integration with clinical workflow could potentially extend the mean screening interval from 12 months to 31.97 months, and the percentage of participants recommended to be screened at 1–5 years was 30.62%, 20.00%, 19.63%, 11.85% and 17.89%, respectively, while delayed detection of progression to vision-threatening DR was 0.18%. Altogether, the DeepDR Plus system could predict individualized risk and time to DR progression over 5 years, potentially allowing personalized screening intervals.
    Type of Medium: Online Resource
    ISSN: 1078-8956 , 1546-170X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2024
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    detail.hit.zdb_id: 1220066-9
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  • 6
    In: Nature Medicine, Springer Science and Business Media LLC
    Abstract: Primary diabetes care and diabetic retinopathy (DR) screening persist as major public health challenges due to a shortage of trained primary care physicians (PCPs), particularly in low-resource settings. Here, to bridge the gaps, we developed an integrated image–language system (DeepDR-LLM), combining a large language model (LLM module) and image-based deep learning (DeepDR-Transformer), to provide individualized diabetes management recommendations to PCPs. In a retrospective evaluation, the LLM module demonstrated comparable performance to PCPs and endocrinology residents when tested in English and outperformed PCPs and had comparable performance to endocrinology residents in Chinese. For identifying referable DR, the average PCP’s accuracy was 81.0% unassisted and 92.3% assisted by DeepDR-Transformer. Furthermore, we performed a single-center real-world prospective study, deploying DeepDR-LLM. We compared diabetes management adherence of patients under the unassisted PCP arm ( n  = 397) with those under the PCP+DeepDR-LLM arm ( n  = 372). Patients with newly diagnosed diabetes in the PCP+DeepDR-LLM arm showed better self-management behaviors throughout follow-up ( P   〈  0.05). For patients with referral DR, those in the PCP+DeepDR-LLM arm were more likely to adhere to DR referrals ( P   〈  0.01). Additionally, DeepDR-LLM deployment improved the quality and empathy level of management recommendations. Given its multifaceted performance, DeepDR-LLM holds promise as a digital solution for enhancing primary diabetes care and DR screening.
    Type of Medium: Online Resource
    ISSN: 1078-8956 , 1546-170X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2024
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    detail.hit.zdb_id: 1220066-9
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  • 7
    In: The Lancet Planetary Health, Elsevier BV, Vol. 7, No. 11 ( 2023-11), p. e900-e911
    Type of Medium: Online Resource
    ISSN: 2542-5196
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
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  • 8
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2024
    In:  World Journal of Urology Vol. 42, No. 1 ( 2024-06-13)
    In: World Journal of Urology, Springer Science and Business Media LLC, Vol. 42, No. 1 ( 2024-06-13)
    Type of Medium: Online Resource
    ISSN: 1433-8726
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2024
    detail.hit.zdb_id: 1463303-6
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  • 9
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 42, No. 16_suppl ( 2024-06-01), p. e17537-e17537
    Abstract: e17537 Background: Discriminant copy number alterations (CNAs) have been linked to aberrant DNA repair mechanisms. This study aimed to identify CNA-based biomarkers, alongside homologous recombination deficiency (HRD) scores for ovarian cancer patients receiving platinum (Pt)-based chemotherapy, especially in BRCA1/2 wild-type or HRD-low patients. Methods: Fourteen most prevalent and significant focal CNA regions (seven amplification and seven deletion) were examined to investigate their correlations with HRD scores via SHAP values of an XGBoost model and the effectiveness of Pt-based adjuvant chemotherapy in a cohort of high-grade serous ovarian cancer (HGSC) patients (TCGA cohort, N=576), and the results were validated in a separate Chinese ovarian cancer cohort (test cohort, N=457). An in-house developed next-generation sequencing HRD pipeline (GeneseeqPrime HRD) was used to determine HRD scores. Histological subtypes, molecular features, and potential molecular mechanisms associated with the identified biomarkers were further explored. Results: Of 14 high-level CNA regions identified by GISTIC in the TCGA cohort, Chromosome 3q26.2 amplification [ Chr3(q26.2) Amp, a prevalence of 30.7%] was associated with increased HRD scores in both BRCA1/2-altered ( p=0.01) and wild-type HGSCs ( p=0.03). Consistently, in the test cohort, higher HRD scores ( p 〈 0.01) and elevated chromosome instability scores ( p 〈 0.01) were observed in Chr3(q26.2) amplified samples. Among 406 patients administrated with Pt-based adjuvant chemotherapy in the TCGA cohort, those with Chr3(q26.2) Amp exhibited a relatively high sensitivity rate ( p=0.09) and significantly superior disease-free survival after adjusting for HRD score, patient age, tumor stage, and residual disease [hazard ratio (HR): 0.65, 95% confidence interval (CI): 0.48–0.88] when compared to those without, representing Chr3(q26.2) Amp as an independent predictive biomarker. Similar results were obtained in 78 patients using Pt-based adjuvant chemotherapy in the test cohort (HR: 0.68, 95% CI: 0.40–1.15). Moreover, Chr3(q26.2) Amp was more prevalent in HGSCs harboring BRCA1/2 or TP53 aberrations than other histological subtypes driven by PIK3CA, PTEN or KRAS mutations ( p 〈 0.01). In comparison to HGSCs without Chr3(q26.2) Amp, Chr3(q26.2) amplified HGSCs exhibited higher Ragnum hypoxia scores ( p 〈 0.01) and a total of four overexpressed proteins, including p62 ( p 〈 0.01), PIK3CA ( p 〈 0.01), CCNB1 ( p 〈 0.01) and TSC1 ( p 〈 0.01), indicative of suppressed homologous recombination repair pathway and cycle cell arrest. Conclusions: Chr3(q26.2) Amp emerges as a promising biomarker for Pt-based adjuvant chemotherapy in ovarian cancer, potentially reflecting a hypoxia-induced etiology through suppressed homologous recombination repair pathway.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2024
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    detail.hit.zdb_id: 604914-X
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