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  1. Article ; Online: Leydig stem cells and future therapies for hypogonadism.

    Achua, Justin K / Frech, Fabio S / Ramasamy, Ranjith

    Current opinion in endocrinology, diabetes, and obesity

    2020  Volume 27, Issue 6, Page(s) 419–423

    Abstract: Purpose of review: In this review, we outline the most recent advances in the development of Leydig stem cells (LSCs) and summarize the current and upcoming treatments for hypogonadism.: Recent findings: In-vitro and in-vivo studies show that ... ...

    Abstract Purpose of review: In this review, we outline the most recent advances in the development of Leydig stem cells (LSCs) and summarize the current and upcoming treatments for hypogonadism.
    Recent findings: In-vitro and in-vivo studies show that inducing stem cells to differentiate into testosterone-producing adult Leydig cells is possible. In addition, LSCs can be grafted with Sertoli cells to increase testosterone levels in vivo. This therapy causes minimal effects on luteinizing hormone and follicle stimulating hormone levels. Novel therapies for hypogonadism include varying methods of testosterone delivery such as intranasal and oral agents, as well as novel selective estrogen and androgen receptor modulators.
    Summary: LSC therapies provide an effective way of increasing testosterone levels without detrimentally affecting gonadotropin levels. Next steps in developing viable Leydig cell grafting options for the treatment of hypogonadism should include the assessment of efficacy and potency of current animal models in human trials. Recently, both intranasal and oral testosterone have been made available and shown promising results in treating hypogonadism while maintaining fertility. Enclomiphene citrate and selective androgen receptor modulators have been suggested as future therapies for hypogonadism; however, further studies assessing efficacy and adverse effects are needed.
    MeSH term(s) Adult ; Animals ; Cell Differentiation/drug effects ; Fertility/physiology ; Humans ; Hypogonadism/therapy ; Leydig Cells/cytology ; Leydig Cells/physiology ; Leydig Cells/transplantation ; Male ; Stem Cell Transplantation/methods ; Stem Cell Transplantation/trends ; Stem Cells/physiology ; Testosterone/therapeutic use
    Chemical Substances Testosterone (3XMK78S47O)
    Language English
    Publishing date 2020-10-01
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2272017-0
    ISSN 1752-2978 ; 1752-296X
    ISSN (online) 1752-2978
    ISSN 1752-296X
    DOI 10.1097/MED.0000000000000580
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Se 1363: 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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  2. Article: A Systematic Review of Artificial Intelligence in Prostate Cancer.

    Van Booven, Derek J / Kuchakulla, Manish / Pai, Raghav / Frech, Fabio S / Ramasahayam, Reshna / Reddy, Pritika / Parmar, Madhumita / Ramasamy, Ranjith / Arora, Himanshu

    Research and reports in urology

    2021  Volume 13, Page(s) 31–39

    Abstract: The diagnosis and management of prostate cancer involves the interpretation of data from multiple modalities to aid in decision making. Tools like PSA levels, MRI guided biopsies, genomic biomarkers, and Gleason grading are used to diagnose, risk ... ...

    Abstract The diagnosis and management of prostate cancer involves the interpretation of data from multiple modalities to aid in decision making. Tools like PSA levels, MRI guided biopsies, genomic biomarkers, and Gleason grading are used to diagnose, risk stratify, and then monitor patients during respective follow-ups. Nevertheless, diagnosis tracking and subsequent risk stratification often lend itself to significant subjectivity. Artificial intelligence (AI) can allow clinicians to recognize difficult relationships and manage enormous data sets, which is a task that is both extraordinarily difficult and time consuming for humans. By using AI algorithms and reducing the level of subjectivity, it is possible to use fewer resources while improving the overall efficiency and accuracy in prostate cancer diagnosis and management. Thus, this systematic review focuses on analyzing advancements in AI-based artificial neural networks (ANN) and their current role in prostate cancer diagnosis and management.
    Language English
    Publishing date 2021-01-22
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2649530-2
    ISSN 2253-2447
    ISSN 2253-2447
    DOI 10.2147/RRU.S268596
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Contextualization of skin cancer incidence rates across Costa Rican provinces.

    Gallo Marin, Benjamin / Zheng, David X / Amaya, Andres / Marin Gamboa, Daniel / Frech, Fabio S / Mulligan, Kathleen M / Oliva, Rocío / Soto, Arturo / Kuhn, Helena

    International journal of dermatology

    2021  Volume 61, Issue 12, Page(s) e478–e480

    MeSH term(s) Humans ; Incidence ; Costa Rica/epidemiology ; Hispanic or Latino ; Skin Neoplasms/epidemiology
    Language English
    Publishing date 2021-11-23
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 412254-9
    ISSN 1365-4632 ; 0011-9059 ; 1461-1244
    ISSN (online) 1365-4632
    ISSN 0011-9059 ; 1461-1244
    DOI 10.1111/ijd.16010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ui VI Zs.189: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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