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  1. AU="Menon, Kartikeya M"
  2. AU="Pantell, Matthew" AU="Pantell, Matthew"
  3. AU="Maria Papadopoulou"
  4. AU="Wu, Jianrong"
  5. AU="Rodrigues, Daniel Sobreira"
  6. AU="Angello R. Retamal-Díaz"
  7. AU="Nicole C. Deziel"
  8. AU="Shajrawi, Abedalmajeed Methqal"
  9. AU=Aydin Seckin AU=Aydin Seckin
  10. AU="Narwal, Vikrant"
  11. AU="Minamoto, Toshinari"

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  1. Artikel ; Online: Automated electrocardiogram signal quality assessment based on Fourier analysis and template matching.

    Menon, Kartikeya M / Das, Subrat / Shervey, Mark / Johnson, Matthew / Glicksberg, Benjamin S / Levin, Matthew A

    Journal of clinical monitoring and computing

    2022  Band 37, Heft 3, Seite(n) 829–837

    Abstract: We developed and tested a novel template matching approach for signal quality assessment on electrocardiogram (ECG) data. A computational method was developed that uses a sinusoidal approximation to the QRS complex to generate a correlation value at ... ...

    Abstract We developed and tested a novel template matching approach for signal quality assessment on electrocardiogram (ECG) data. A computational method was developed that uses a sinusoidal approximation to the QRS complex to generate a correlation value at every point of an ECG. The strength of this correlation can be numerically adapted into a 'score' for each segment of an ECG, which can be used to stratify signal quality. The algorithm was tested on lead II ECGs of intensive care unit (ICU) patients admitted to the Mount Sinai Hospital (MSH) from January to July 2020 and on records from the MIT BIH arrhythmia database. The algorithm was found to be 98.9% specific and 99% sensitive on test data from the MSH ICU patients. The routine performs in linear O(n) time and occupies O(1) heap space in runtime. This approach can be used to lower the burden of pre-processing in ECG signal analysis. Given its runtime (O(n)) and memory (O(1)) complexity, there are potential applications for signal quality stratification and arrhythmia detection in wearable devices or smartphones.
    Mesh-Begriff(e) Humans ; Fourier Analysis ; Signal Processing, Computer-Assisted ; Electrocardiography/methods ; Algorithms ; Arrhythmias, Cardiac/diagnosis
    Sprache Englisch
    Erscheinungsdatum 2022-12-05
    Erscheinungsland Netherlands
    Dokumenttyp Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1418733-4
    ISSN 1573-2614 ; 1387-1307 ; 0748-1977
    ISSN (online) 1573-2614
    ISSN 1387-1307 ; 0748-1977
    DOI 10.1007/s10877-022-00948-5
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 2054: Hefte anzeigen Standort:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Artikel ; Online: Radioembolization plus Immune Checkpoint Inhibitor Therapy Compared with Radioembolization plus Tyrosine Kinase Inhibitor Therapy for the Treatment of Hepatocellular Carcinoma.

    Garcia-Reyes, Kirema / Gottlieb, Ricki A / Menon, Kartikeya M / Bishay, Vivian / Patel, Rahul / Patel, Rajesh / Nowakowski, Scott / Sung, Max W / Marron, Thomas U / Gansa, William H / Zhang, Jack / Raja, Sahitya C / Shilo, Daniel / Fischman, Aaron / Lookstein, Robert / Kim, Edward

    Journal of vascular and interventional radiology : JVIR

    2024  Band 35, Heft 5, Seite(n) 722–730.e1

    Abstract: Purpose: To investigate if combination therapy with immune checkpoint inhibitor (ICI) and yttrium-90 (: Methods: A retrospective review of patients presented at an institutional multidisciplinary liver tumor board between January 1, 2012 and August 1, ...

    Abstract Purpose: To investigate if combination therapy with immune checkpoint inhibitor (ICI) and yttrium-90 (
    Methods: A retrospective review of patients presented at an institutional multidisciplinary liver tumor board between January 1, 2012 and August 1, 2023 was conducted. In total, 44 patients with HCC who underwent
    Results: Patients in the
    Conclusions: Patients with HCC who received
    Mesh-Begriff(e) Humans ; Liver Neoplasms/therapy ; Liver Neoplasms/diagnostic imaging ; Liver Neoplasms/pathology ; Liver Neoplasms/mortality ; Carcinoma, Hepatocellular/therapy ; Carcinoma, Hepatocellular/pathology ; Carcinoma, Hepatocellular/mortality ; Carcinoma, Hepatocellular/diagnostic imaging ; Male ; Female ; Middle Aged ; Retrospective Studies ; Yttrium Radioisotopes/adverse effects ; Yttrium Radioisotopes/administration & dosage ; Aged ; Immune Checkpoint Inhibitors/adverse effects ; Immune Checkpoint Inhibitors/therapeutic use ; Embolization, Therapeutic/adverse effects ; Protein Kinase Inhibitors/adverse effects ; Time Factors ; Radiopharmaceuticals/adverse effects ; Radiopharmaceuticals/administration & dosage ; Progression-Free Survival ; Risk Factors ; Adult ; Aged, 80 and over ; Tyrosine Kinase Inhibitors
    Chemische Substanzen Yttrium Radioisotopes ; Immune Checkpoint Inhibitors ; Protein Kinase Inhibitors ; Radiopharmaceuticals ; Yttrium-90 (1K8M7UR6O1) ; Tyrosine Kinase Inhibitors
    Sprache Englisch
    Erscheinungsdatum 2024-02-09
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Comparative Study
    ZDB-ID 1137756-2
    ISSN 1535-7732 ; 1051-0443
    ISSN (online) 1535-7732
    ISSN 1051-0443
    DOI 10.1016/j.jvir.2024.02.004
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 3720: Hefte anzeigen Standort:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Artikel: Supervised Pretraining through Contrastive Categorical Positive Samplings to Improve COVID-19 Mortality Prediction.

    Wanyan, Tingyi / Lin, Mingquan / Klang, Eyal / Menon, Kartikeya M / Gulamali, Faris F / Azad, Ariful / Zhang, Yiye / Ding, Ying / Wang, Zhangyang / Wang, Fei / Glicksberg, Benjamin / Peng, Yifan

    ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine

    2022  Band 2022

    Abstract: Clinical EHR data is naturally heterogeneous, where it contains abundant sub-phenotype. Such diversity creates challenges for outcome prediction using a machine learning model since it leads to high intra-class variance. To address this issue, we propose ...

    Abstract Clinical EHR data is naturally heterogeneous, where it contains abundant sub-phenotype. Such diversity creates challenges for outcome prediction using a machine learning model since it leads to high intra-class variance. To address this issue, we propose a supervised pre-training model with a unique embedded k-nearest-neighbor positive sampling strategy. We demonstrate the enhanced performance value of this framework theoretically and show that it yields highly competitive experimental results in predicting patient mortality in real-world COVID-19 EHR data with a total of over 7,000 patients admitted to a large, urban health system. Our method achieves a better AUROC prediction score of 0.872, which outperforms the alternative pre-training models and traditional machine learning methods. Additionally, our method performs much better when the training data size is small (345 training instances).
    Sprache Englisch
    Erscheinungsdatum 2022-08-07
    Erscheinungsland United States
    Dokumenttyp Journal Article
    DOI 10.1145/3535508.3545541
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel: Deep learning on electronic medical records identifies distinct subphenotypes of diabetic kidney disease driven by genetic variations in the

    Paranjpe, Ishan / Wang, Xuan / Anandakrishnan, Nanditha / Haydak, Jonathan C / Van Vleck, Tielman / DeFronzo, Stefanie / Li, Zhengzhe / Mendoza, Anthony / Liu, Ruijie / Fu, Jia / Forrest, Iain / Zhou, Weibin / Lee, Kyung / O'Hagan, Ross / Dellepiane, Sergio / Menon, Kartikeya M / Gulamali, Faris / Kamat, Samir / Gusella, Gabriele Luca /
    Charney, Alexander W / Hofer, Ira / Cho, Judy H / Do, Ron / Glicksberg, Benjamin S / He, John C / Nadkarni, Girish N / Azeloglu, Evren U

    medRxiv : the preprint server for health sciences

    2023  

    Abstract: Kidney disease affects 50% of all diabetic patients; however, prediction of disease progression has been challenging due to inherent disease heterogeneity. We use deep learning to identify novel genetic signatures prognostically associated with outcomes. ...

    Abstract Kidney disease affects 50% of all diabetic patients; however, prediction of disease progression has been challenging due to inherent disease heterogeneity. We use deep learning to identify novel genetic signatures prognostically associated with outcomes. Using autoencoders and unsupervised clustering of electronic health record data on 1,372 diabetic kidney disease patients, we establish two clusters with differential prevalence of end-stage kidney disease. Exome-wide associations identify a novel variant in
    Sprache Englisch
    Erscheinungsdatum 2023-09-07
    Erscheinungsland United States
    Dokumenttyp Preprint
    DOI 10.1101/2023.09.06.23295120
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: CAG Expansions Are Genetically Stable and Form Nontoxic Aggregates in Cells Lacking Endogenous Polyglutamine Proteins.

    Zurawel, Ashley A / Kabeche, Ruth / DiGregorio, Sonja E / Deng, Lin / Menon, Kartikeya M / Opalko, Hannah / Duennwald, Martin L / Moseley, James B / Supattapone, Surachai

    mBio

    2016  Band 7, Heft 5

    Abstract: Proteins containing polyglutamine (polyQ) regions are found in almost all eukaryotes, albeit with various frequencies. In humans, proteins such as huntingtin (Htt) with abnormally expanded polyQ regions cause neurodegenerative diseases such as Huntington' ...

    Abstract Proteins containing polyglutamine (polyQ) regions are found in almost all eukaryotes, albeit with various frequencies. In humans, proteins such as huntingtin (Htt) with abnormally expanded polyQ regions cause neurodegenerative diseases such as Huntington's disease (HD). To study how the presence of endogenous polyQ aggregation modulates polyQ aggregation and toxicity, we expressed polyQ expanded Htt fragments (polyQ Htt) in Schizosaccharomyces pombe In stark contrast to other unicellular fungi, such as Saccharomyces cerevisiae, S. pombe is uniquely devoid of proteins with more than 10 Q repeats. We found that polyQ Htt forms aggregates within S. pombe cells only with exceedingly long polyQ expansions. Surprisingly, despite the presence of polyQ Htt aggregates in both the cytoplasm and nucleus, no significant growth defect was observed in S. pombe cells. Further, PCR analysis showed that the repetitive polyQ-encoding DNA region remained constant following transformation and after multiple divisions in S. pombe, in contrast to the genetic instability of polyQ DNA sequences in other organisms. These results demonstrate that cells with a low content of polyQ or other aggregation-prone proteins can show a striking resilience with respect to polyQ toxicity and that genetic instability of repetitive DNA sequences may have played an important role in the evolutionary emergence and exclusion of polyQ expansion proteins in different organisms.
    Importance: Polyglutamine (polyQ) proteins encoded by repetitive CAG DNA sequences serve a variety of normal biological functions. Yet some proteins with abnormally expanded polyQ regions cause neurodegeneration through unknown mechanisms. To study how distinct cellular environments modulate polyQ aggregation and toxicity, we expressed CAG-expanded huntingtin fragments in Schizosaccharomyces pombe In stark contrast to many other eukaryotes, S. pombe is uniquely devoid of proteins containing long polyQ tracts. Our results show that S. pombe cells, despite their low content of endogenous polyQ proteins, exhibit striking and unexpected resilience with respect to polyQ toxicity and that genetic instability of repetitive DNA sequences may have played an important role in the emergence and expansion of polyQ domains in eukaryotic evolution.
    Sprache Englisch
    Erscheinungsdatum 2016-09-27
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2557172-2
    ISSN 2150-7511 ; 2161-2129
    ISSN (online) 2150-7511
    ISSN 2161-2129
    DOI 10.1128/mBio.01367-16
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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