5 Works

Data from: Metatranscriptomics of the human oral microbiome during health and disease

Peter Jorth, Keith H. Turner, Pinar Gumus, Nejat Nizam, Nurcan Buduneli & Marvin Whiteley
The human microbiome plays important roles in health, but when disrupted these same indigenous microbes can cause disease. The composition of the microbiome changes during the transition from health to disease; however, these changes are often not conserved among patients. Since microbiome-associated diseases like periodontitis cause similar patient symptoms despite inter-patient variability in microbial community composition, we hypothesized that human-associated microbial communities undergo conserved changes in metabolism during disease. Here we used patient-matched healthy and...

Prediction of clinical outcomes in women with placenta accreta spectrum using machine learning models: an international multicenter study

Sherif A. Shazly, Ismet Hortu, Jin-Chung Shih, Rauf Melekoglu, Shangrong Fan, Farhat ul Ain Ahmed, Erbil Karaman, Ildar Fatkullin, Pedro V. Pinto, Setyorini Irianti, Joel Noutakdie Tochie, Amr S. Abdelbadie, Ahmet M. Ergenoglu, Ahmet O. Yeniel, Sermet Sagol, Ismail M., Jessica Kang, Kuan-Ying Huang, Ercan Yilmaz, Yiheng Liang, Hijab Aziz, Tayyiba Akhter, Afshan Ambreen, Çağrı Ateş, Yasemin Karaman … & Mohamed A. Anan
Placenta accreta spectrum is a major obstetric disorder that is associated with significant morbidity and mortality. The objective of this study is to establish a prediction model of clinical outcomes in these women PAS-ID is an international multicenter study that comprises 11 centers from 9 countries. Women who were diagnosed with PAS and were managed in the recruiting centers between 1 January 2010 and 31 December 2019 were included. Data were reanalyzed using machine learning...

Prediction of clinical outcomes in women with placenta accreta spectrum using machine learning models: an international multicenter study

Sherif A. Shazly, Ismet Hortu, Jin-Chung Shih, Rauf Melekoglu, Shangrong Fan, Farhat ul Ain Ahmed, Erbil Karaman, Ildar Fatkullin, Pedro V. Pinto, Setyorini Irianti, Joel Noutakdie Tochie, Amr S. Abdelbadie, Ahmet M. Ergenoglu, Ahmet O. Yeniel, Sermet Sagol, Ismail M. Itil, Jessica Kang, Kuan-Ying Huang, Ercan Yilmaz, Yiheng Liang, Hijab Aziz, Tayyiba Akhter, Afshan Ambreen, Çağrı Ateş, Yasemin Karaman … & Mohamed A. Anan
Placenta accreta spectrum is a major obstetric disorder that is associated with significant morbidity and mortality. The objective of this study is to establish a prediction model of clinical outcomes in these women PAS-ID is an international multicenter study that comprises 11 centers from 9 countries. Women who were diagnosed with PAS and were managed in the recruiting centers between 1 January 2010 and 31 December 2019 were included. Data were reanalyzed using machine learning...

Data from: Very high MHC Class IIB diversity without spatial differentiation in the Mediterranean population of Greater Flamingos

Mark A. F. Gillingham, Arnaud Béchet, Alexandre Courtiol, Manuel Rendón-Martos, Juan A. Amat, Boudjéma Samraoui, Ortaç Onmuş, Simone Sommer & Frank Cézilly
Background: Selective pressure from pathogens is thought to shape the allelic diversity of major histocompatibility complex (MHC) genes in vertebrates. In particular, both local adaptation to pathogens and gene flow are thought to explain a large part of the intraspecific variation observed in MHC allelic diversity. To date, however, evidence that adaptation to locally prevalent pathogens maintains MHC variation is limited to species with limited dispersal and, hence, reduced gene flow. On the one hand...

Prediction of clinical outcomes in women with placenta accreta spectrum using machine learning models: an international multicenter study

Sherif A. Shazly, Ismet Hortu, Jin-Chung Shih, Rauf Melekoglu, Shangrong Fan, Farhat ul Ain Ahmed, Erbil Karaman, Ildar Fatkullin, Pedro V. Pinto, Setyorini Irianti, Joel Noutakdie Tochie, Amr S. Abdelbadie, Ahmet M. Ergenoglu, Ahmet O. Yeniel, Sermet Sagol, Ismail M., Jessica Kang, Kuan-Ying Huang, Ercan Yilmaz, Yiheng Liang, Hijab Aziz, Tayyiba Akhter, Afshan Ambreen, Çağrı Ateş, Yasemin Karaman … & Mohamed A. Anan
Placenta accreta spectrum is a major obstetric disorder that is associated with significant morbidity and mortality. The objective of this study is to establish a prediction model of clinical outcomes in these women PAS-ID is an international multicenter study that comprises 11 centers from 9 countries. Women who were diagnosed with PAS and were managed in the recruiting centers between 1 January 2010 and 31 December 2019 were included. Data were reanalyzed using machine learning...

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