Regulation of several androgen-induced genes through the repression of the miR-99a/let-7c/miR-125b-2 miRNA cluster in prostate cancer cells von Sun, D, Layer, R, Mueller, A C, Cichewicz, M A, Negishi, M, Paschal, B M, Dutta, A

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MUNC, an Enhancer RNA Upstream from the MYOD Gene, Induces a Subgroup of Myogenic Transcripts in trans Independently of MyoD von Cichewicz, Magdalena A., Kiran, Manjari, Przanowska, Róża K., Sobierajska, Ewelina, Shibata, Yoshiyuki, Dutta, Anindya

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SA43 Uptake of the Prisma 2020 Statement and Its Artificial Intelligence Component in Recently Published Systematic Reviews von Cichewicz, A.

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Histone Chaperones Nap1 and Vps75 Regulate Histone Acetylation during Transcription Elongation von Xue, Yu-Ming, Kowalska, Anna K., Grabowska, Kamila, Przybyt, Katarzyna, Cichewicz, Magda A., Del Rosario, Brian C., Pemberton, Lucy F.

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MUNC, a Long Noncoding RNA That Facilitates the Function of MyoD in Skeletal Myogenesis von Mueller, Adam C., Cichewicz, Magdalena A., Dey, Bijan K., Layer, Ryan, Reon, Brian J., Gagan, Jeffrey R., Dutta, Anindya

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MSR163 Artificial Intelligence (AI)-Based Screening: Exploration of Differences in Two Health Technology Assessment (HTA)-Compliant Systematic Literature Reviews (SLRS) von Cichewicz, A., Slim, M., Deshpande, S.

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Distinct MUNC lncRNA structural domains regulate transcription of different promyogenic factors von Przanowska, Roza K., Weidmann, Chase A., Saha, Shekhar, Cichewicz, Magdalena A., Jensen, Kate N., Przanowski, Piotr, Irving, Patrick S., Janes, Kevin A., Guertin, Michael J., Weeks, Kevin M., Dutta, Anindya

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MSR117 Are Classifiers the Future of Artificial Intelligence in Systematic Literature Reviews? von Cichewicz, A, Huelin, R, Kadambi, A

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CO42 Efficacy and Safety of Hypoxia-Inducible Factor Prolyl Hydroxylase Inhibitors for Treatment of Anaemia of Chronic Kidney Disease: A Systematic Literature Review von Atzinger, C, Cichewicz, A, Huelin, R, Alexandre, AF

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EE312 The Economic Burden of Moderate-to-Severe Ulcerative Colitis in the EU5 von Cichewicz, A, Tencer, T, Egodage, S, Burnett, H, Kumar, J

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SA3 Utility of Artificial Intelligence in Systematic Literature Reviews for Health Technology Assessment Submissions von Cichewicz, A, Burnett, H, Huelin, R, Kadambi, A

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MSR136 Feasibility of GPT-4-Based Content Extraction to Identify Eligible Titles and Abstracts in a Systematic Literature Review (SLR) von Cichewicz, A, Pande, A, Casañas i Comabella, C, Mittal, L, Slim, M

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MSR187 Automated Data Extraction in Systematic Literature Reviews (SLRs): Assessing the Accuracy and Reliability of a Large Language Model (LLM) von Shree, A, Farraia, M, Pathak, S, Slim, M, Cichewicz, A, Mittal, L, Casañas i Comabella, C

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MSR22 Automating Systematic Literature Review (SLR) Updates: A Comparative Validation Study of Artificial Intelligence (AI) Versus Human Screeners von Cichewicz, A, Pande, A, Borkowska, K, Mittal, L, Wittkopf, P, Slim, M

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MSR41 Application of Artificial Intelligence As a Decision Support Tool for Abstract Screening: Implications for Time and Cost Savings von Cichewicz, A., Kadambi, A., Lavoie, L., Mittal, L., Pierre, V., Raorane, R.

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MSR67 Automation of Abstract Screening: A Case Study of Multiple Systematic Literature Reviews von Cichewicz, A, Kadambi, A, Lavoie, L, Mittal, L, Pierre, V, Raorane, R

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CO1 Comparative Efficacy of Non-Statin Lipid-Lowering Therapies in Patients With Hypercholesterolemia at Increased Cardiovascular Risk: An Updated Network Meta-Analysis von Burnett, H., Neupane, B., Pierre, V., Fahrbach, K., Cichewicz, A., Natani, H., Bhowmik, D., Reichelt, A., Buesch, K., Jindal, R.

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P84.08 First-line Brigatinib in Anaplastic Lymphoma Kinase-positive Non-small Cell Lung Cancer: A Network Meta-Analysis von Lin, H., Cichewicz, A., Neupane, B., Wu, Y., Vinals, L., Fahrbach, K., Reckamp, K.

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PMU13 WHY IS QUALITATIVE EVIDENCE SYNTHESIS OVERLOOKED AND UNDERVALUED? von Cichewicz, A., Earley, A., Swett, L., Knoble, N.

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SA52 Indirect Comparison of Short-, Mid-, and Long-Term Efficacy of Treatments for Moderate to Severe Plaque Psoriasis: A Systemic Review and Network Meta-Analysis von Armstrong, AW, Warren, RB, Zhong, Y, Zhuo, J, Cichewicz, A, Kadambi, A, Junqueira, D, Westley, T, Kisa, R, Daamen, C, Augustin, M

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