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  1. Article: Timing and Dose of Constraint-Induced Movement Therapy after Stroke: A Systematic Review and Meta-Regression.

    Yang, Yu-Kai / Lin, Chieh-Yu / Chen, Po-Huang / Jhou, Hong-Jie

    Journal of clinical medicine

    2023  Volume 12, Issue 6

    Abstract: The aim of this study is to investigate the effects of constraint-induced movement therapy on stroke patients who had intact cognition and some voluntary finger extension and to identify optimal protocols to apply this therapy method. We searched PubMed, ...

    Abstract The aim of this study is to investigate the effects of constraint-induced movement therapy on stroke patients who had intact cognition and some voluntary finger extension and to identify optimal protocols to apply this therapy method. We searched PubMed, Cochrane Library, and Embase for randomized controlled trials conducted prior to January 2022. The outcomes included the Motor Activity Log, Fugl-Meyer Assessment, and Wolf Motor Function Test. The inverse variance method fixed-effect model as well as the DerSimonian and Laird estimator random-effects model were applied, and the mean difference was calculated with 95% confidence interval to measure continuous outcomes. Six randomized controlled trials involving a total of 169 patients with stroke were enrolled. Compared with conventional rehabilitation methods, there was no significant effect of constraint-induced movement therapy when evaluated by the Motor Activity Log, including the amount of use (random-effect, standardized mean difference 0.65; 95%, confidence interval: -0.23-1.52) and quality of movement (random-effect, standardized mean difference 0.60; 95% confidence interval: -0.19-1.39). However, among patients with chronic stroke symptoms, meta-regression analyses showed better performance with a constraint time of at least 6 h per day and 6 h training per week when assessing the amount of use (
    Language English
    Publishing date 2023-03-15
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm12062267
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Associations between doses of fall-risk-increasing drugs (FRIDs) and falls of hospitalized patients.

    Yang, Yu-Kai / Kor, Chew-Teng / Sun, Yi-Wei / Wang, Hsin-Yu / Yang, Yuan-Ting / Liu, Sen-Yung

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 14380

    Abstract: Falls are a serious public health problem in the aging population because of the associated clinical and socioeconomic impact. Although previous studies have investigated fall-risk-increasing drugs (FRIDs), few studies have focused on dosage among adult ... ...

    Abstract Falls are a serious public health problem in the aging population because of the associated clinical and socioeconomic impact. Although previous studies have investigated fall-risk-increasing drugs (FRIDs), few studies have focused on dosage among adult inpatients. This study aimed to evaluate associations between fall risk and dosage of different FRIDs classes in hospital inpatients. Inpatients who experienced falls at medical or surgical wards of Changhua Christian Hospital from January 2017 to December 2021 were identified and matched by age, sex, and hospital ward to randomly selected controls (four per case). Anonymous patient data were extracted from the hospital medical data repository, including demographic characteristics, comorbidities, fall-risk scores, and drug prescriptions. Medication dosages were computed using the anatomical therapeutic chemical classification and the defined daily dose system of the World Health Organization. A total of 852 cases and 3408 controls were identified as eligible. Reducing the use of CNS-active medications, administering lower doses of sedative-hypnotics, prescribing sufficient dopaminergic anti-Parkinson agents, and using NSAIDs instead of opioids are imperative in preventing falls among hospitalized patients according to the findings in the study.
    MeSH term(s) Adult ; Humans ; Aged ; Inpatients ; Risk Factors ; Aging ; Analgesics, Opioid ; Anti-Inflammatory Agents, Non-Steroidal
    Chemical Substances Analgesics, Opioid ; Anti-Inflammatory Agents, Non-Steroidal
    Language English
    Publishing date 2023-09-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-41568-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Reciprocal perspective as a super learner improves drug-target interaction prediction (MUSDTI).

    Dick, Kevin / Kyrollos, Daniel G / Cosoreanu, Eric D / Dooley, Joseph / Fryer, Joshua S / Gordon, Shaun M / Kharbanda, Nikhil / Klamrowski, Martin / LaCasse, Patrick N L / Leung, Thomas F / Nasir, Muneeb A / Qiu, Chang / Robinson, Aisha S / Shao, Derek / Siromahov, Boyan R / Starlight, Evening / Tran, Christophe / Wang, Christopher / Yang, Yu-Kai /
    Green, James R

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 13237

    Abstract: The identification of novel drug-target interactions (DTI) is critical to drug discovery and drug repurposing to address contemporary medical and public health challenges presented by emergent diseases. Historically, computational methods have framed DTI ...

    Abstract The identification of novel drug-target interactions (DTI) is critical to drug discovery and drug repurposing to address contemporary medical and public health challenges presented by emergent diseases. Historically, computational methods have framed DTI prediction as a binary classification problem (indicating whether or not a drug physically interacts with a given protein target); however, framing the problem instead as a regression-based prediction of the physiochemical binding affinity is more meaningful. With growing databases of experimentally derived drug-target interactions (e.g. Davis, Binding-DB, and Kiba), deep learning-based DTI predictors can be effectively leveraged to achieve state-of-the-art (SOTA) performance. In this work, we formulated a DTI competition as part of the coursework for a senior undergraduate machine learning course and challenged students to generate component DTI models that might surpass SOTA models and effectively combine these component models as part of a meta-model using the Reciprocal Perspective (RP) multi-view learning framework. Following 6 weeks of concerted effort, 28 student-produced component deep-learning DTI models were leveraged in this work to produce a new SOTA RP-DTI model, denoted the Meta Undergraduate Student DTI (MUSDTI) model. Through a series of experiments we demonstrate that (1) RP can considerably improve SOTA DTI prediction, (2) our new double-cold experimental design is more appropriate for emergent DTI challenges, (3) that our novel MUSDTI meta-model outperforms SOTA models, (4) that RP can improve upon individual models as an ensembling method, and finally, (5) RP can be utilized for low computation transfer learning. This work introduces a number of important revelations for the field of DTI prediction and sequence-based, pairwise prediction in general.
    MeSH term(s) Computer Simulation ; Drug Development ; Drug Discovery/methods ; Drug Interactions ; Humans ; Machine Learning
    Language English
    Publishing date 2022-08-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-16493-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: [Changes of AFP and beta-hCG in testicular tumors analyzed by a function method].

    Guan, Xiao-Feng / Deng, Yao-Liang / Liu, Qi-Ming / Zhou, De-Xiong / Yang, Yu-Kai / Lu, Kun / Li, Fei

    Zhonghua nan ke xue = National journal of andrology

    2013  Volume 19, Issue 1, Page(s) 59–62

    Abstract: Objective: To establish a new function method for the analysis of a-fetoprotein (AFP) and beta-hCG in testicular tumors.: Methods: We reexamined the serum levels of AFP and beta-hCG after radical orchiectomy, and calculated the measured coordinate, ... ...

    Abstract Objective: To establish a new function method for the analysis of a-fetoprotein (AFP) and beta-hCG in testicular tumors.
    Methods: We reexamined the serum levels of AFP and beta-hCG after radical orchiectomy, and calculated the measured coordinate, with the abscissa representing the number of the half-lives of tumor markers, and the ordinate representing the measured value of tumor markers. Referring to the measured value of tumor markers before surgery as a, the number of half-lives as x, and their theoretical value over a period of x elimination half-lives as y (logarithm to the base 2 of y), we calculated the predicted coordinate according to the formula y = log2(a/2x) ==> x + y = log2a (function 1). Then we assessed tumor residue and metastasis by analyzing the relationship between the measured and predicted coordinates.
    Results: The pathological examination of case 1 revealed a germ cell tumor of a mixed histological pattern of syncytiotrophoblast and yolk sac tumor. The measured coordinates of AFP and beta-hCG were (2.22, 6.21) and (10, 8.38), and the predicted coordinates (2.22, 6.34) and (10, 4.41) , indicating the elimination of the yolk sac tumor and metastasis of the syncytiotrophoblast tumor. Case 2 demonstrated the mixed pathological nature of teratocarcinoma and yolk sac tumor. The measured coordinates of AFP and beta-hCG were (2.67, -1.03) and (12, -3.32), and the predicted coordinates (2.67, 1.41) and (12, -5.80). But the review times of AFP and beta-hCG were out of the effective range of half-lives, with the measured values below the normal, which suggested no tumor residue or metastasis. Case 3 was found to be embryonal carcinoma. The measured coordinate of AFP was (0.22, 9.25) , and the predicted coordinate (0.22, 9.55) , indicating the elimination of tumor.
    Conclusion: The change of the tumor markers predicted by the function method coincided with the natural course of disease in the three cases. The coincidence of the measured with the predicted coordinate after radical orchiectomy indicates no metastasis, while their disagreement suggests possible residue and metastasis of the tumor.
    MeSH term(s) Adult ; Biomarkers, Tumor/blood ; Chorionic Gonadotropin, beta Subunit, Human/blood ; Humans ; Male ; Models, Statistical ; Orchiectomy ; Testicular Neoplasms/metabolism ; Testicular Neoplasms/pathology ; alpha-Fetoproteins/analysis
    Chemical Substances Biomarkers, Tumor ; Chorionic Gonadotropin, beta Subunit, Human ; alpha-Fetoproteins
    Language Chinese
    Publishing date 2013-01
    Publishing country China
    Document type English Abstract ; Journal Article
    ZDB-ID 2267480-9
    ISSN 1009-3591
    ISSN 1009-3591
    Database MEDical Literature Analysis and Retrieval System OnLINE

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