Hasil Pencarian - Daniel Marcu

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  1. 1
    Accounting for the genetic load in assisted reproductive technology

    Accounting for the genetic load in assisted reproductive technology oleh Cock van Oosterhout, Daniel Marcu, Simone Immler

    Diterbitkan 2022-05-01
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  2. 2
    Contaminants of Emerging Concern (CECs) and Male Reproductive Health: Challenging the Future with a Double-Edged Sword

    Contaminants of Emerging Concern (CECs) and Male Reproductive Health: Challenging the Future with a Double-Edged Sword oleh Daniel Marcu, Shannen Keyser, Leslie Petrik, Samuel Fuhrimann, Liana Maree

    Diterbitkan 2023-03-01
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  3. 3
    Culture of Immature Ovarian Follicles within Decellularized Ovary Enhances Oocyte Maturation and Improves In vitro Fertilization Results

    Culture of Immature Ovarian Follicles within Decellularized Ovary Enhances Oocyte Maturation and Improves In vitro Fertilization Results oleh Sanaz Alaee, Lida Moradi, Daniel Marcu, Saeed Shokri, Tahereh Talaei-Khozani, Fatemeh Zal

    Diterbitkan 2024-09-01
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  4. 4
    Shaping the future of male reproductive health: fostering talent at the 14th Network of Young Researchers in Andrology meeting

    Shaping the future of male reproductive health: fostering talent at the 14th Network of Young Researchers in Andrology meeting oleh Daniel Marcu, Dorte Egeberg, Guillaume Richer, Manon Oud, Brendan Houston, Sven Berres, Alberto de la Iglesia

    Diterbitkan 2023-05-01
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  5. 5
    Empowering tomorrow's leaders: the impact of the 15th Network of Young Researchers in Andrology (NYRA) meeting on male reproductive health and interdisciplinary collaboration

    Empowering tomorrow's leaders: the impact of the 15th Network of Young Researchers in Andrology (NYRA) meeting on male reproductive health and interdisciplinary collaboration oleh Daniel Marcu, Dorte L. Egeberg, Guillaume Richer, Brendan Houston, Emily Delgouffe, Gülizar Saritas, Omar Ammar, Lydia Wehrli, Cyril Djari, Alberto de la Iglesia

    Diterbitkan 2024-01-01
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  6. 6
    NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding

    NERO: a biomedical named-entity (recognition) ontology with a large, annotated corpus reveals meaningful associations through text embedding oleh Kanix Wang, Robert Stevens, Halima Alachram, Yu Li, Larisa Soldatova, Ross King, Sophia Ananiadou, Annika M. Schoene, Maolin Li, Fenia Christopoulou, José Luis Ambite, Joel Matthew, Sahil Garg, Ulf Hermjakob, Daniel Marcu, Emily Sheng, Tim Beißbarth, Edgar Wingender, Aram Galstyan, Xin Gao, Brendan Chambers, Weidi Pan, Bohdan B. Khomtchouk, James A. Evans, Andrey Rzhetsky

    Diterbitkan 2021-10-01
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