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  1. Article ; Online: Pamela Sklar.

    Charney, Alexander W

    Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

    2018  Volume 43, Issue 5, Page(s) 1191–1192

    MeSH term(s) Genomics/history ; History, 20th Century ; History, 21st Century ; Psychiatry/history ; United States
    Language English
    Publishing date 2018-03-13
    Publishing country England
    Document type Biography ; Historical Article ; Journal Article ; Portrait
    ZDB-ID 639471-1
    ISSN 1740-634X ; 0893-133X
    ISSN (online) 1740-634X
    ISSN 0893-133X
    DOI 10.1038/npp.2018.1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2379: Show issues Location:
    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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  2. Article ; Online: A Call to Protect the Health Care Workers Fighting COVID-19 in the United States.

    Charney, Alexander W / Katz, Craig / Southwick, Steven M / Charney, Dennis S

    The American journal of psychiatry

    2020  Volume 177, Issue 10, Page(s) 900–901

    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections/prevention & control ; Coronavirus Infections/transmission ; Health Personnel/psychology ; Humans ; Mental Disorders/prevention & control ; Pandemics/prevention & control ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/transmission ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-07-31
    Publishing country United States
    Document type Journal Article
    ZDB-ID 280045-7
    ISSN 1535-7228 ; 0002-953X
    ISSN (online) 1535-7228
    ISSN 0002-953X
    DOI 10.1176/appi.ajp.2020.20040535
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ui I Zs.30: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  3. Article ; Online: Immersion Fixation and Staining of Multicubic Millimeter Volumes for Electron Microscopy-Based Connectomics of Human Brain Biopsies.

    Karlupia, Neha / Schalek, Richard L / Wu, Yuelong / Meirovitch, Yaron / Wei, Donglai / Charney, Alexander W / Kopell, Brian H / Lichtman, Jeff W

    Biological psychiatry

    2023  Volume 94, Issue 4, Page(s) 352–360

    Abstract: Connectomics allows mapping of cells and their circuits at the nanometer scale in volumes of approximately 1 ... ...

    Abstract Connectomics allows mapping of cells and their circuits at the nanometer scale in volumes of approximately 1 mm
    MeSH term(s) Humans ; Connectome/methods ; Immersion ; Microscopy, Electron ; Staining and Labeling ; Brain ; Biopsy
    Language English
    Publishing date 2023-02-03
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 209434-4
    ISSN 1873-2402 ; 0006-3223
    ISSN (online) 1873-2402
    ISSN 0006-3223
    DOI 10.1016/j.biopsych.2023.01.025
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 720: Show issues Location:
    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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  4. Article ; Online: Impact of Vaccination on Major Adverse Cardiovascular Events in Patients With COVID-19 Infection.

    Jiang, Joy / Chan, Lili / Kauffman, Justin / Narula, Jagat / Charney, Alexander W / Oh, Wonsuk / Nadkarni, GIrish

    Journal of the American College of Cardiology

    2023  

    Abstract: Taken from the largest U.S. cohort of patients with SARS-CoV2, our results demonstrate the association of even partial vaccination with lower risk of MACE after SARS-CoV-2 infection. ...

    Abstract Taken from the largest U.S. cohort of patients with SARS-CoV2, our results demonstrate the association of even partial vaccination with lower risk of MACE after SARS-CoV-2 infection.
    Language English
    Publishing date 2023-01-27
    Publishing country United States
    Document type Letter
    ZDB-ID 605507-2
    ISSN 1558-3597 ; 0735-1097
    ISSN (online) 1558-3597
    ISSN 0735-1097
    DOI 10.1016/j.jacc.2022.12.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1846: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 196: Show issues

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  5. Article ; Online: A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19.

    Oh, Wonsuk / Jayaraman, Pushkala / Tandon, Pranai / Chaddha, Udit S / Kovatch, Patricia / Charney, Alexander W / Glicksberg, Benjamin S / Nadkarni, Girish N

    Artificial intelligence in medicine

    2023  Volume 148, Page(s) 102750

    Abstract: Computational subphenotyping, a data-driven approach to understanding disease subtypes, is a prominent topic in medical research. Numerous ongoing studies are dedicated to developing advanced computational subphenotyping methods for cross-sectional data. ...

    Abstract Computational subphenotyping, a data-driven approach to understanding disease subtypes, is a prominent topic in medical research. Numerous ongoing studies are dedicated to developing advanced computational subphenotyping methods for cross-sectional data. However, the potential of time-series data has been underexplored until now. Here, we propose a Multivariate Levenshtein Distance (MLD) that can account for address correlation in multiple discrete features over time-series data. Our algorithm has two distinct components: it integrates an optimal threshold score to enhance the sensitivity in discriminating between pairs of instances, and the MLD itself. We have applied the proposed distance metrics on the k-means clustering algorithm to derive temporal subphenotypes from time-series data of biomarkers and treatment administrations from 1039 critically ill patients with COVID-19 and compare its effectiveness to standard methods. In conclusion, the Multivariate Levenshtein Distance metric is a novel method to quantify the distance from multiple discrete features over time-series data and demonstrates superior clustering performance among competing time-series distance metrics.
    MeSH term(s) Humans ; Time Factors ; Critical Illness ; Cross-Sectional Studies ; COVID-19 ; Algorithms
    Language English
    Publishing date 2023-12-20
    Publishing country Netherlands
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 645179-2
    ISSN 1873-2860 ; 0933-3657
    ISSN (online) 1873-2860
    ISSN 0933-3657
    DOI 10.1016/j.artmed.2023.102750
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    Zs.A 2547: Show issues Location:
    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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  6. Article ; Online: Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments.

    Brin, Dana / Sorin, Vera / Vaid, Akhil / Soroush, Ali / Glicksberg, Benjamin S / Charney, Alexander W / Nadkarni, Girish / Klang, Eyal

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 16492

    Abstract: The United States Medical Licensing Examination (USMLE) has been a subject of performance study for artificial intelligence (AI) models. However, their performance on questions involving USMLE soft skills remains unexplored. This study aimed to evaluate ... ...

    Abstract The United States Medical Licensing Examination (USMLE) has been a subject of performance study for artificial intelligence (AI) models. However, their performance on questions involving USMLE soft skills remains unexplored. This study aimed to evaluate ChatGPT and GPT-4 on USMLE questions involving communication skills, ethics, empathy, and professionalism. We used 80 USMLE-style questions involving soft skills, taken from the USMLE website and the AMBOSS question bank. A follow-up query was used to assess the models' consistency. The performance of the AI models was compared to that of previous AMBOSS users. GPT-4 outperformed ChatGPT, correctly answering 90% compared to ChatGPT's 62.5%. GPT-4 showed more confidence, not revising any responses, while ChatGPT modified its original answers 82.5% of the time. The performance of GPT-4 was higher than that of AMBOSS's past users. Both AI models, notably GPT-4, showed capacity for empathy, indicating AI's potential to meet the complex interpersonal, ethical, and professional demands intrinsic to the practice of medicine.
    MeSH term(s) Artificial Intelligence ; Medicine ; Empathy ; Mental Processes
    Language English
    Publishing date 2023-10-01
    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/s41598-023-43436-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Online: Clinical Text Deduplication Practices for Efficient Pretraining and Improved Clinical Tasks

    Landi, Isotta / Alleva, Eugenia / Valentine, Alissa A. / Lepow, Lauren A. / Charney, Alexander W.

    2023  

    Abstract: Despite being a unique source of information on patients' status and disease progression, clinical notes are characterized by high levels of duplication and information redundancy. In general domain text, it has been shown that deduplication does not ... ...

    Abstract Despite being a unique source of information on patients' status and disease progression, clinical notes are characterized by high levels of duplication and information redundancy. In general domain text, it has been shown that deduplication does not harm language model (LM) pretraining, thus helping reduce the training cost. Although large LMs have proven to learn medical knowledge, they still require specialized domain adaptation for improved downstream clinical tasks. By leveraging large real-world clinical corpora, we first provided a fine-grained characterization of duplicates stemming from common writing practices and clinical relevancy. Second, we demonstrated that deduplicating clinical text can help clinical LMs encode less redundant information in a more efficient manner and do not harm classification tasks via prompt-based learning.
    Keywords Computer Science - Computation and Language ; Computer Science - Artificial Intelligence ; Computer Science - Machine Learning
    Publishing date 2023-09-29
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  9. Article ; Online: On the diagnostic and neurobiological origins of bipolar disorder.

    Charney, Alexander W / Mullins, Niamh / Park, You Jeong / Xu, Jonathan

    Translational psychiatry

    2020  Volume 10, Issue 1, Page(s) 118

    Abstract: Psychiatry is constructed around a taxonomy of several hundred diagnoses differentiated by nuances in the timing, co-occurrence, and severity of symptoms. Bipolar disorder (BD) is notable among these diagnoses for manic, depressive, and psychotic ... ...

    Abstract Psychiatry is constructed around a taxonomy of several hundred diagnoses differentiated by nuances in the timing, co-occurrence, and severity of symptoms. Bipolar disorder (BD) is notable among these diagnoses for manic, depressive, and psychotic symptoms all being core features. Here, we trace current understanding of the neurobiological origins of BD and related diagnoses. To provide context, we begin by exploring the historical origins of psychiatric taxonomy. We then illustrate how key discoveries in pharmacology and neuroscience gave rise to a generation of neurobiological hypotheses about the origins of these disorders that facilitated therapeutic innovation but failed to explain disease pathogenesis. Lastly, we examine the extent to which genetics has succeeded in filling this void and contributing to the construction of an objective classification of psychiatric disturbance.
    MeSH term(s) Bipolar Disorder/diagnosis ; Bipolar Disorder/genetics ; Humans ; Neurobiology ; Psychotic Disorders
    Language English
    Publishing date 2020-04-23
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2609311-X
    ISSN 2158-3188 ; 2158-3188
    ISSN (online) 2158-3188
    ISSN 2158-3188
    DOI 10.1038/s41398-020-0796-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Evaluation of imputation performance of multiple reference panels in a Pakistani population.

    Xu, Jiayi / Liu, Dongjing / Hassan, Arsalan / Genovese, Giulio / Cote, Alanna C / Fennessy, Brian / Cheng, Esther / Charney, Alexander W / Knowles, James A / Ayub, Muhammad / Peterson, Roseann E / Bigdeli, Tim B / Huckins, Laura M

    medRxiv : the preprint server for health sciences

    2023  

    Abstract: Genotype imputation is crucial for GWAS, but reference panels and existing benchmarking studies prioritize European individuals. Consequently, it is unclear which publicly available reference panel should be used for Pakistani individuals, and whether ... ...

    Abstract Genotype imputation is crucial for GWAS, but reference panels and existing benchmarking studies prioritize European individuals. Consequently, it is unclear which publicly available reference panel should be used for Pakistani individuals, and whether ancestry composition or sample size of the panel matters more for imputation accuracy. Our study compared different reference panels to impute genotype data in 1814 Pakistani individuals, finding the best performance balancing accuracy and coverage with meta-imputation with TOPMed and the expanded 1000 Genomes (ex1KG) reference. Imputation accuracy of ex1KG outperformed TOPMed despite its 30-fold smaller sample size, supporting efforts to create future panels with diverse populations.
    Language English
    Publishing date 2023-12-26
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.12.22.23300448
    Database MEDical Literature Analysis and Retrieval System OnLINE

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