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  1. Article ; Online: Psychosocial resources and psychopathology among persons with neuromuscular disorders during the COVID-19 pandemic.

    Sanzo', Silvia / Tizzoni, Federica / Previtali, Stefano C / Berardinelli, Angela / Nobile, Maria / Molteni, Massimo / Manzoni, Martina / Tarabelloni, Arianna / Russo, Annamaria / Delle Fave, Antonella / D'Angelo, Maria Grazia

    BMC psychology

    2024  Volume 12, Issue 1, Page(s) 243

    Abstract: Background: The COVID-19 pandemic substantially affected the lives of persons with inherited neuromuscular disorders (INMD), causing disruption in clinical and support services. While several studies have investigated mental health, distress and ... ...

    Abstract Background: The COVID-19 pandemic substantially affected the lives of persons with inherited neuromuscular disorders (INMD), causing disruption in clinical and support services. While several studies have investigated mental health, distress and psychosocial resources in the general population during the pandemic, little is known about the experience of persons with INMD.
    Methods: This study was aimed to fill this gap by jointly investigating both psychopathological symptoms and psychosocial resources - specifically, resilience and perceived social support - among persons with INMD during the pandemic, taking into account demographic and clinical factors. Between April and December 2020, 59 participants with INMD (aged 15-59, 71.2% M) completed a questionnaire collecting demographic and clinical data, the Multidimensional Scale of Perceived Social Support, the Resilience Scale for Adults, and the Achenbach System of Empirically Based Assessment.
    Results: Overall, participants showed good levels of resilience and perceived social support. A minority of participants reported clinically relevant psychopathological symptoms, 28.81% for anxiety and depression. Most psychopathological symptoms were negatively correlated with resilience (-0.347 < r < - .420), but not significantly associated with social support. Consistent with previous studies, regression analyses highlighted that participants with Duchenne muscular dystrophy were more prone to report anxious and depressive symptoms (B = 1.748, p = .028, OR = 5.744), and participants with myotonic dystrophy, attention problems (B = 2.339, p = .006, OR = 10.376). Resilience emerged as a potential predictor of lower anxious-depressive symptoms (B=-1.264, p = .012, OR = 0.283).
    Conclusions: The findings suggest the importance to investigate psychosocial resources in addition to psychopathology among persons with INMD, and to design interventions supporting resilience as a protective factor for mental health promotion.
    MeSH term(s) Humans ; COVID-19/psychology ; COVID-19/epidemiology ; Adult ; Male ; Female ; Middle Aged ; Resilience, Psychological ; Neuromuscular Diseases/psychology ; Neuromuscular Diseases/epidemiology ; Social Support ; Adolescent ; Young Adult ; Anxiety/psychology ; Anxiety/epidemiology ; Depression/psychology ; Depression/epidemiology ; Surveys and Questionnaires ; SARS-CoV-2
    Language English
    Publishing date 2024-04-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 2705921-2
    ISSN 2050-7283 ; 2050-7283
    ISSN (online) 2050-7283
    ISSN 2050-7283
    DOI 10.1186/s40359-024-01742-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Bioinformatics Pipeline to Analyze lncRNA Arrays.

    Todoerti, Katia / Ronchetti, Domenica / Manzoni, Martina / Taiana, Elisa / Neri, Antonino / Agnelli, Luca

    Methods in molecular biology (Clifton, N.J.)

    2021  Volume 2348, Page(s) 45–53

    Abstract: Despite the fact that next-generation sequencing approaches, in particular RNA sequencing, provide deep genome-wide expression data that allow both careful annotations/mapping of long noncoding RNA (lncRNA) molecules and de-novo sequencing, lncRNA ... ...

    Abstract Despite the fact that next-generation sequencing approaches, in particular RNA sequencing, provide deep genome-wide expression data that allow both careful annotations/mapping of long noncoding RNA (lncRNA) molecules and de-novo sequencing, lncRNA expression studies by microarray is a still cost-effective procedure that could allow to have a landscape of the most characterized lncRNA species. However, microarray design does not always correctly address the overlap between coding and noncoding samples to discriminate between the original transcript source. In order to overcome this issue, in this chapter we present a bioinformatics pipeline that enables accurate annotation of GeneChip
    MeSH term(s) Algorithms ; Computational Biology/methods ; Databases, Genetic ; Gene Expression Profiling/methods ; Genome-Wide Association Study/methods ; Humans ; Molecular Sequence Annotation ; Oligonucleotide Array Sequence Analysis/methods ; RNA, Long Noncoding ; Software ; Transcriptome ; User-Computer Interface
    Chemical Substances RNA, Long Noncoding
    Language English
    Publishing date 2021-06-23
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-0716-1581-2_3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Eye movement desensitization and reprocessing: The state of the art of efficacy in children and adolescent with post traumatic stress disorder.

    Manzoni, Martina / Fernandez, Isabel / Bertella, Silvana / Tizzoni, Federica / Gazzola, Erica / Molteni, Massimo / Nobile, Maria

    Journal of affective disorders

    2021  Volume 282, Page(s) 340–347

    Abstract: Background: PTSD in youth is more common and debilitating than it was previously thought. This untreated condition is highly correlated to critical mental health condition, such as depression, anxiety disruptive-behaviours, and substance use disorders. ... ...

    Abstract Background: PTSD in youth is more common and debilitating than it was previously thought. This untreated condition is highly correlated to critical mental health condition, such as depression, anxiety disruptive-behaviours, and substance use disorders. Despite the growing number of studies investigating Eye Movement Desensitization and Reprocessing (EMDR) treatment for posttraumatic stress disorder (PTSD) in childhood and adolescent, results have not been systematically revised since 2017. The aim of this work is to systematically reviewed all randomized controlled trials (RCTs) evaluating the effect of EMDR on PTSD symptoms in children and adolescent and asses whether EMDR therapy was effective to improve anxious and/or depressive symptoms.
    Methods: In a short series of articles, we will review the efficacy of EMDR on children and adolescent with PTSD and comorbid symptoms. The present brief review will focus on randomized controlled trials with an EMDR group condition compared to a control group published until January 2020.
    Results: eight studies (n = 150) met our inclusion criteria. Preliminary analyses showed that EMDR has a comparable efficacy to cognitive behavior therapy (CBT) in reducing PTSD, anxiety symptoms, depressive symptoms and was superior to waitlist/placebo condition. Moreover EMDR seems to be more effective in a shorter period of time.
    Conclusion: despite the small number of studies, the preliminary results suggest that EMDR therapy could be an effective treatment for children and adolescent with PTSD and anxious and/or depressive symptoms. Further research is needed to support these results.
    MeSH term(s) Adolescent ; Anxiety Disorders/therapy ; Child ; Cognitive Behavioral Therapy ; Eye Movement Desensitization Reprocessing ; Eye Movements ; Humans ; Randomized Controlled Trials as Topic ; Stress Disorders, Post-Traumatic/therapy ; Treatment Outcome
    Language English
    Publishing date 2021-01-04
    Publishing country Netherlands
    Document type Journal Article ; Review ; Systematic Review
    ZDB-ID 135449-8
    ISSN 1573-2517 ; 0165-0327
    ISSN (online) 1573-2517
    ISSN 0165-0327
    DOI 10.1016/j.jad.2020.12.088
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Exploring telediagnostic procedures in child neuropsychiatry: addressing ADHD diagnosis and autism symptoms through supervised machine learning.

    Grazioli, Silvia / Crippa, Alessandro / Rosi, Eleonora / Candelieri, Antonio / Ceccarelli, Silvia Busti / Mauri, Maddalena / Manzoni, Martina / Mauri, Valentina / Trabattoni, Sara / Molteni, Massimo / Colombo, Paola / Nobile, Maria

    European child & adolescent psychiatry

    2023  Volume 33, Issue 1, Page(s) 139–149

    Abstract: Recently, there has been an increase in telemedicine applied to child neuropsychiatry, such as the use of online platforms to collect remotely case histories and demographic and behavioral information. In the present proof-of-concept study, we aimed to ... ...

    Abstract Recently, there has been an increase in telemedicine applied to child neuropsychiatry, such as the use of online platforms to collect remotely case histories and demographic and behavioral information. In the present proof-of-concept study, we aimed to understand to what extent information parents and teachers provide through online questionnaires overlaps with clinicians' diagnostic conclusions on attention-deficit/hyperactivity disorder (ADHD). Moreover, we intended to explore a possible role that autism spectrum disorders (ASD) symptoms played in this process. We examined parent- and teacher-rated questionnaires collected remotely and an on-site evaluation of intelligence quotients from 342 subjects (18% females), aged 3-16 years, and referred for suspected ADHD. An easily interpretable machine learning model-decision tree (DT)-was built to simulate the clinical process of classifying ADHD/non-ADHD based on collected data. Then, we tested the DT model's predictive accuracy through a cross-validation approach. The DT classifier's performance was compared with those that other machine learning models achieved, such as random forest and support vector machines. Differences in ASD symptoms in the DT-identified classes were tested to address their role in performing a diagnostic error using the DT model. The DT identified the decision rules clinicians adopt to classify an ADHD diagnosis with an 82% accuracy rate. Regarding the cross-validation experiment, our DT model reached a predictive accuracy of 74% that was similar to those of other classification algorithms. The caregiver-reported ADHD core symptom severity proved the most discriminative information for clinicians during the diagnostic decision process. However, ASD symptoms were a confounding factor when ADHD severity had to be established. Telehealth procedures proved effective in obtaining an automated output regarding a diagnostic risk, reducing the time delay between symptom detection and diagnosis. However, this should not be considered an alternative to on-site procedures but rather as automated support for clinical practice, enabling clinicians to allocate further resources to the most complex cases.
    MeSH term(s) Child ; Female ; Humans ; Male ; Attention Deficit Disorder with Hyperactivity/diagnosis ; Autism Spectrum Disorder/diagnosis ; Autistic Disorder ; Neuropsychiatry ; Supervised Machine Learning ; Child, Preschool ; Adolescent
    Language English
    Publishing date 2023-01-25
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1118299-4
    ISSN 1435-165X ; 1018-8827 ; 1433-5719
    ISSN (online) 1435-165X
    ISSN 1018-8827 ; 1433-5719
    DOI 10.1007/s00787-023-02145-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Frontotemporal-spectrum disorders and functional independence in non-demented ALS patients.

    Aiello, Edoardo Nicolò / Solca, Federica / Torre, Silvia / Gentile, Francesco / Scheveger, Francesco / Olivero, Marco / Colombo, Eleonora / Maranzano, Alessio / Manzoni, Martina / Morelli, Claudia / Doretti, Alberto / Verde, Federico / Silani, Vincenzo / Ticozzi, Nicola / Poletti, Barbara

    Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology

    2023  Volume 45, Issue 3, Page(s) 1087–1095

    Abstract: Background: The present study aimed at determining whether, net of motor confounders, neuropsychological features affect functional independence (FI) in activities of daily living (ADLs) in non-demented amyotrophic lateral sclerosis (ALS) patients.: ... ...

    Abstract Background: The present study aimed at determining whether, net of motor confounders, neuropsychological features affect functional independence (FI) in activities of daily living (ADLs) in non-demented amyotrophic lateral sclerosis (ALS) patients.
    Methods: N = 88 ALS patients without frontotemporal dementia were assessed for FI-Katz's Basic ADL Scale (BADL) and Lawton-Brody's Instrumental ADL Scale (IADL)-, cognition-Edinburgh Cognitive and Behavioural ALS Screen (ECAS)-and behaviour-Beaumont Behavioural Inventory and Dimensional Apathy Scale. The association between cognitive and behavioural measures and BADL/IADL scores was assessed by covarying for demographics, anxiety and depression levels, disease duration and motor confounders-i.e. ALS Functional Rating Scale-Revised (ALSFRS-R) scores, progression rate and both King's and Milano-Torino stages.
    Results: Higher scores on the ECAS-Language were associated with higher IADL scores (p = 0.005), whilst higher apathetic features-as measured by the Dimensional Apathy Scale (DAS)-were inversely related to the BADL (p = 0.003). Whilst IADL scores were related to all ECAS-Language tasks, the DAS-Initiation was the only subscale associated with BADL scores. Patients with abnormal ECAS-Language (p = 0.023) and DAS (p = 0.008) scores were more functionally dependent than those without.
    Discussion: Among non-motor features, language changes and apathetic features detrimentally affect FI in non-demented ALS patients.
    MeSH term(s) Humans ; Amyotrophic Lateral Sclerosis ; Activities of Daily Living ; Functional Status ; Neuropsychological Tests ; Frontotemporal Dementia ; Cognition
    Language English
    Publishing date 2023-09-29
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 2016546-8
    ISSN 1590-3478 ; 1590-1874
    ISSN (online) 1590-3478
    ISSN 1590-1874
    DOI 10.1007/s10072-023-07074-3
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  6. Article ; Online: Enhancing the interpretation of genetic observations in KCNQ1 in unselected populations: relevance to secondary findings.

    Novelli, Valeria / Faultless, Trent / Cerrone, Marina / Care, Melanie / Manzoni, Martina / Bober, Sara L / Adler, Arnon / De-Giorgio, Fabio / Spears, Danna / Gollob, Michael H

    Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology

    2023  Volume 25, Issue 11

    Abstract: Aims: Rare variants in the KCNQ1 gene are found in the healthy population to a much greater extent than the prevalence of Long QT Syndrome type 1 (LQTS1). This observation creates challenges in the interpretation of KCNQ1 rare variants that may be ... ...

    Abstract Aims: Rare variants in the KCNQ1 gene are found in the healthy population to a much greater extent than the prevalence of Long QT Syndrome type 1 (LQTS1). This observation creates challenges in the interpretation of KCNQ1 rare variants that may be identified as secondary findings in whole exome sequencing.This study sought to identify missense variants within sub-domains of the KCNQ1-encoded Kv7.1 potassium channel that would be highly predictive of disease in the context of secondary findings.
    Methods and results: We established a set of KCNQ1 variants reported in over 3700 patients with diagnosed or suspected LQTS sent for clinical genetic testing and compared the domain-specific location of identified variants to those observed in an unselected population of 140 000 individuals. We identified three regions that showed a significant enrichment of KCNQ1 variants associated with LQTS at an odds ratio (OR) >2: the pore region, and the adjacent 5th (S5) and 6th (S6) transmembrane (TM) regions. An additional segment within the carboxyl terminus of Kv7.1, conserved region 2 (CR2), also showed an increased OR of disease association. Furthermore, the TM spanning S5-Pore-S6 region correlated with a significant increase in cardiac events.
    Conclusion: Rare missense variants with a clear phenotype of LQTS have a high likelihood to be present within the pore and adjacent TM segments (S5-Pore-S6) and a greater tendency to be present within CR2. This data will enhance interpretation of secondary findings within the KCNQ1 gene. Further, our data support a more severe phenotype in LQTS patients with variants within the S5-Pore-S6 region.
    MeSH term(s) Humans ; KCNQ1 Potassium Channel/genetics ; Long QT Syndrome/diagnosis ; Long QT Syndrome/genetics ; Genetic Testing ; Mutation, Missense ; Phenotype ; Mutation
    Chemical Substances KCNQ1 Potassium Channel ; KCNQ1 protein, human
    Language English
    Publishing date 2023-11-20
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 1449879-0
    ISSN 1532-2092 ; 1099-5129
    ISSN (online) 1532-2092
    ISSN 1099-5129
    DOI 10.1093/europace/euad317
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  7. Article: Whole-Blood Transcriptional Profiles Enable Early Prediction of the Presence of Coronary Atherosclerosis and High-Risk Plaque Features at Coronary CT Angiography.

    Andreini, Daniele / Melotti, Eleonora / Vavassori, Chiara / Chiesa, Mattia / Piacentini, Luca / Conte, Edoardo / Mushtaq, Saima / Manzoni, Martina / Cipriani, Eleonora / Ravagnani, Paolo M / Bartorelli, Antonio L / Colombo, Gualtiero I

    Biomedicines

    2022  Volume 10, Issue 6

    Abstract: Existing tools to estimate cardiovascular (CV) risk have sub-optimal predictive capacities. In this setting, non-invasive imaging techniques and omics biomarkers could improve risk-prediction models for CV events. This study aimed to identify gene ... ...

    Abstract Existing tools to estimate cardiovascular (CV) risk have sub-optimal predictive capacities. In this setting, non-invasive imaging techniques and omics biomarkers could improve risk-prediction models for CV events. This study aimed to identify gene expression patterns in whole blood that could differentiate patients with severe coronary atherosclerosis from subjects with a complete absence of detectable coronary artery disease and to assess associations of gene expression patterns with plaque features in coronary CT angiography (CCTA). Patients undergoing CCTA for suspected coronary artery disease (CAD) were enrolled. Coronary stenosis was quantified and CCTA plaque features were assessed. The whole-blood transcriptome was analyzed with RNA sequencing. We detected highly significant differences in the circulating transcriptome between patients with high-degree coronary stenosis (≥70%) in the CCTA and subjects with an absence of coronary plaque. Notably, regression analysis revealed expression signatures associated with the Leaman score, the segment involved score, the segment stenosis score, and plaque volume with density <150 HU at CCTA. This pilot study shows that patients with significant coronary stenosis are characterized by whole-blood transcriptome profiles that may discriminate them from patients without CAD. Furthermore, our results suggest that whole-blood transcriptional profiles may predict plaque characteristics.
    Language English
    Publishing date 2022-06-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720867-9
    ISSN 2227-9059
    ISSN 2227-9059
    DOI 10.3390/biomedicines10061309
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  8. Article ; Online: A compendium of long non-coding RNAs transcriptional fingerprint in multiple myeloma.

    Ronchetti, Domenica / Agnelli, Luca / Pietrelli, Alessandro / Todoerti, Katia / Manzoni, Martina / Taiana, Elisa / Neri, Antonino

    Scientific reports

    2018  Volume 8, Issue 1, Page(s) 6557

    Abstract: Multiple myeloma (MM) is a clonal proliferation of bone marrow plasma cells characterized by highly heterogeneous genetic background and clinical course, whose pathogenesis remains largely unknown. Long ncRNAs (lncRNAs) are a large class of non-protein- ... ...

    Abstract Multiple myeloma (MM) is a clonal proliferation of bone marrow plasma cells characterized by highly heterogeneous genetic background and clinical course, whose pathogenesis remains largely unknown. Long ncRNAs (lncRNAs) are a large class of non-protein-coding RNA, involved in many physiological cellular and genomic processes as well as in carcinogenesis and tumor evolution. Although still in its infancy, the role of lncRNAs in MM is progressively expanding. Besides studies on selected candidates, lncRNAs expression at genome-wide transcriptome level is confined to microarray technologies, thus investigating a limited collection of transcripts. In the present study investigating a cohort of 30 MM patients, a deep RNA-sequencing analysis overwhelmed previous array studies and allowed the most accurate definition of lncRNA transcripts structure and expression, ultimately providing a comprehensive catalogue of lncRNAs specifically associated with the main MM molecular subgroups and genetic alterations. Despite the small number of analyzed samples, the high accuracy of RNA-sequencing approach for complex transcriptome processing led to the identification of 391 deregulated lncRNAs, 67% of which were also detectable and validated by whole-transcript microarrays. In addition, we identified a list of lncRNAs, with potential relevance in MM, co-expressed and in close proximity to genes that might undergo a cis-regulatory relationship.
    MeSH term(s) Biomarkers, Tumor ; Computational Biology/methods ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; Multiple Myeloma/genetics ; RNA, Long Noncoding ; Transcriptome ; Translocation, Genetic
    Chemical Substances Biomarkers, Tumor ; RNA, Long Noncoding
    Language English
    Publishing date 2018-04-26
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-018-24701-8
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  9. Article: In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.

    Ronchetti, Domenica / Manzoni, Martina / Todoerti, Katia / Neri, Antonino / Agnelli, Luca

    Genes

    2016  Volume 7, Issue 12

    Abstract: The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun ... ...

    Abstract The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNA (ceRNA) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed a significant correlation between lncRNA and miRNA expression levels, we identified 11 lncRNA-miRNA relationships suggestive of a novel ceRNA network with relevance in MM.
    Language English
    Publishing date 2016-11-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527218-4
    ISSN 2073-4425
    ISSN 2073-4425
    DOI 10.3390/genes7120107
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  10. Article ; Online: Expanding the repertoire of miRNAs and miRNA-offset RNAs expressed in multiple myeloma by small RNA deep sequencing.

    Agnelli, Luca / Bisognin, Andrea / Todoerti, Katia / Manzoni, Martina / Taiana, Elisa / Galletti, Serena / Cutrona, Giovanna / Gaffo, Enrico / Bortoluzzi, Stefania / Neri, Antonino

    Blood cancer journal

    2019  Volume 9, Issue 3, Page(s) 21

    Abstract: Microarray analysis of the multiple myeloma (MM) miRNome has unraveled the differential expression of miRNAs in cytogenetic subgroups, their involvement in the tumor biology and their effectiveness in prognostic models. Herein, the small RNA ... ...

    Abstract Microarray analysis of the multiple myeloma (MM) miRNome has unraveled the differential expression of miRNAs in cytogenetic subgroups, their involvement in the tumor biology and their effectiveness in prognostic models. Herein, the small RNA transcriptional landscape in MM has been investigated exploiting the possibilities offered by small RNA-seq, including accurate quantification of known mature species, discovery and characterization of isomiRs, and miRNA-offset RNAs (moRNAs). Matched small RNA-seq and miRNA GeneChip
    MeSH term(s) Biomarkers, Tumor ; Computational Biology/methods ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; High-Throughput Nucleotide Sequencing ; Humans ; MicroRNAs/genetics ; Multiple Myeloma/diagnosis ; Multiple Myeloma/genetics ; Prognosis ; Reproducibility of Results ; Transcriptome
    Chemical Substances Biomarkers, Tumor ; MicroRNAs
    Language English
    Publishing date 2019-02-19
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2600560-8
    ISSN 2044-5385 ; 2044-5385
    ISSN (online) 2044-5385
    ISSN 2044-5385
    DOI 10.1038/s41408-019-0184-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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