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Alexander Kuznetsov

Showing results (21-30 of 24) with videos related to

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International Journal of Molecular Sciences|December 17, 2024
Isolation, Characterization, and Unlocking the Potential of Mimir124 Phage for Personalized Treatment of Difficult, Multidrug-Resistant Uropathogenic <i>E. coli</i> StrainAlla Golomidova, Yuriy Kupriyanov, Ruslan Gabdrakhmanov, et al.
Cellular and Molecular Gastroenterology and Hepatology|March 26, 2025
Loss of FXR or Bile Acid-dependent Inhibition Accelerate Carcinogenesis of Gastroesophageal AdenocarcinomaTheresa Baumeister, Andrea Proaño-Vasco, Amira Metwaly, et al.
Biorxiv : the Preprint Server for Biology|June 25, 2024
Microbiota metabolized Bile Acids accelerate Gastroesophageal Adenocarcinoma via FXR inhibitionTheresa Baumeister, Andrea Proaño-Vasco, Amira Metwaly, et al.
Cancer Cell|August 9, 2022
Precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomesAleksandr Zaitsev, Maksim Chelushkin, Daniiar Dyikanov, et al.
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Showing results (21-30 of 24) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 24 results.
International Journal of Molecular Sciences|December 17, 2024
Isolation, Characterization, and Unlocking the Potential of Mimir124 Phage for Personalized Treatment of Difficult, Multidrug-Resistant Uropathogenic <i>E. coli</i> StrainAlla Golomidova, Yuriy Kupriyanov, Ruslan Gabdrakhmanov, et al.
Cellular and Molecular Gastroenterology and Hepatology|March 26, 2025
Loss of FXR or Bile Acid-dependent Inhibition Accelerate Carcinogenesis of Gastroesophageal AdenocarcinomaTheresa Baumeister, Andrea Proaño-Vasco, Amira Metwaly, et al.
Biorxiv : the Preprint Server for Biology|June 25, 2024
Microbiota metabolized Bile Acids accelerate Gastroesophageal Adenocarcinoma via FXR inhibitionTheresa Baumeister, Andrea Proaño-Vasco, Amira Metwaly, et al.
Cancer Cell|August 9, 2022
Precise reconstruction of the TME using bulk RNA-seq and a machine learning algorithm trained on artificial transcriptomesAleksandr Zaitsev, Maksim Chelushkin, Daniiar Dyikanov, et al.
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