Results 251 to 260 of about 27,273,409 (393)

Relapsing–Remitting Multiple Sclerosis Is Associated With a Dysbiotic Oral Microbiome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Multiple sclerosis (MS) is a chronic autoimmune disorder characterized by inflammation, demyelination, and neurological impairment. While the gut microbiota's role in MS is extensively studied, the association between the oral microbiota and MS remains underexplored, particularly in North American cohorts.
Sukirth M. Ganesan, Meeta Yadav, Sudeep Ghimire, Peter C. Lehman, Apurva J. Patel, Sydney Woods, Heena Olalde, Jemmie Hoang, Mishelle Paullus, Catherine Cherwin, Christine Gill, Tracey Cho, Ashutosh K. Mangalam   +12 more
wiley   +1 more source

The nutrition toolbox permits <i>in silico</i> generation, analysis, and optimization of personalized diets through metabolic modelling. [PDF]

Bioinform Adv
Nap B, Weston B, Brandt A, Wodak MF, Bergheim I, Thiele I.   +5 more
europepmc   +1 more source

OntoDB2 : Support of Multiple Ontology Models within Ontology Based Database

, 2008
Chimène Fankam
openalex   +1 more source

A Comprehensive Overview of the Clinical, Electrophysiological, and Neuroimaging Features of BPAN: Insights From a New Case Series

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Neurodegeneration with brain iron accumulation (NBIA) comprises a genetically and clinically heterogeneous group of rare neurological disorders characterized particularly by iron accumulation in the basal ganglia. To date, 15 genes have been associated with NBIA.
Seda Susgun, Ozgu Kizek, Sibel Aylin Ugur Iseri, Ibrahim Kamaci, Ayse Deniz Elmali, Pinar Iscen, Berfin Gulkaya Guzel, Gul Yalcin Cakmakli, Bulent Elibol, Berril Donmez, Raif Cakmur, Pinar Topaloglu, Turkish NBIA Study Group, Abdullah Acar, Ahmet Acarer, Arzu Karabay, Asuman Ali, Ayla Barlas, Aysegul Gunduz, Banu Ozen Barut, Baris Baslo, Bilge Kocer, Bilgehan Mus, Birsen Karaman, Burcu Gokce Cokal, Cem Ismail Kucukali, Cenk Akbostanci, Ceyhun Sayman, Cagla Turan, Dilek Ince Gunal, Ebru Bilge Dirik, Ebru Erzurumluoglu, Elif Kocasoy Orhan, Enes Demiryurek, Emrah Yucesan, Ercan Kose, Erdem Tuzun, Esen Saka Topcuoglu, Esra Okuyucu, Fatma Betul Ozdilek, Feriha Ozer, Gencer Genc, Gozde Unal, Gulay Kenangil, Gullu Tarhan, Gunes Kiziltan, Halil Onder, Hamit Genc, Hasmet Hanagasi, Hatice Yuksel, Hulya Apaydin, Koray Kirimtay, Mehmet Guney Senol, Melisa Kilic, Meltem Demirkiran, Mert Karaca, Miray Erdem, Muhammet Bilgehan Mus, Murat Gultekin, Nalan Capan, Nazan Karagoz Sakalli, Nazli Basak, Nihan Hande Akcakaya, Ozan Ezer, Ozge Uygun, Ozge Yilmaz Kuspeci, Ozgur Oztop Cakmak, Pervin Iseri, Petek Ballar Kirmizibayrak, Pinar Elkoca, Recep Alp, Remzi Yigiter, Rezzak Yilmaz, Sadika Ozdemir, Selda Keskin, Selen Ilhan Alp, Selen Soylu, Serdar Ceylaner, Serhat Ozkan, Sevda Erer Ozbek, Sevgin Gundogan, Sevil Yasufli, Sezin Alpaydin Baslo, Sibel Ertan, Sultan Cagirici, Seyma Aykac, Vuslat Yilmaz, Yaprak Secil, Yasar Kutukcu, Yeliz Ciftci, Yesim Sucullu Karadag, Yildiz Değirmenci, Zeliha Matur, Nerses Bebek, Murat Emre, Zuhal Yapici   +95 more
wiley   +1 more source

Early Prediction of Cardiac Arrest Based on Time-Series Vital Signs Using Deep Learning: Retrospective Study. [PDF]

JMIR Form Res
Li Y, Lv L, Wang X.
europepmc   +1 more source

Cancer Models Database [PDF]

, 2020
openaire   +1 more source

Amyotrophic Lateral Sclerosis Prevalence Projection in 2040: A Less Rare Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To project ALS prevalence across multiple countries through 2040, accounting for both population aging and increased survival. Methods Data from the Piemonte and Valle d'Aosta ALS register (PARALS) was used to estimate the trends in incidence and prevalence from 2005 to 2019. Survival trends over this period were also assessed.
Rosario Vasta, Stefano Callegaro, Antonio Canosa, Umberto Manera, Maurizio Grassano, Francesca Palumbo, Sara Cabras, Enrico Matteoni, Francesca Di Pede, Filippo De Mattei, Salvatore Tafaro, Neil M. Thakur, Ryan Grosenick, Fabiola De Marchi, Letizia Mazzini, Cristina Moglia, Andrea Calvo, Kuldip D. Dave, Adriano Chiò   +18 more
wiley   +1 more source

Autonomous thermodynamically informed database generation for machine-learned interatomic potentials and application to magnesium. [PDF]

NPJ Comput Mater
Fletcher VG, Bartók AP, Pártay LB.
europepmc   +1 more source

Leveraging Foundation Language Models (FLMs) for Automated Cohort Extraction from Large EHR Databases [PDF]

Purity Mugambi, Alexandra Meliou, Madalina Fiterau   +2 more
openalex   +1 more source

General Model for Tracking Manufacturing Products Using Graph Databases

, 2020
Jorge Martínez-Gil, Reinhard Stumptner, Christian Lettner, Mario Pichler, Salma Mahmoud, Patrick Praher, Bernhard Freudenthaler   +6 more
openalex   +2 more sources