Results 291 to 300 of about 1,924,739 (391)

An International ASXL3 Natural History Study: Deep Phenotypic Analyses Including Detailed Reports of a Milder Phenotype, Novel Associations, and Clinical Recommendations

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Natural History Studies can help inform clinician and caregiver expectations, form the basis of management guidelines, and provide a comparator for therapeutic intervention. In rare conditions, where collection of prospective longitudinal data is untimely and impractical, quasi‐natural history data—from multiple individuals of different ages ...
E. Woods, N. Holmes, A. S. Denommé‐Pichon, M. Vincent, N. Belova, C. Gooch, B. Isidor, C. W. Ockeloen, E. Pavlidou, H. Stewart, V. J. M. Verhoeven, A. Ververi, A. Dixit, A. Sarkar, R. Legg, E. Reid, M. Balasubramanian   +16 more
wiley   +1 more source

Point-of-care ultrasound and neonatal rib osteomyelitis: A case report and literature review. [PDF]

Ultrasound
Fonseca M, Lobão Correia B, Girbal I, Lobo L, Abrantes M, Berenguer A.   +5 more
europepmc   +1 more source

The Neonate with Congenital Heart Disease [PDF]

, 1969
Saul J. Robinson
openalex   +1 more source

Artificial Intelligence Software Changes Rare Disease Testing Strategy in Real Time: An International Case Series Using Face2Gene

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Genetic disorders commonly share features such as developmental delays, cognitive impairment, and behavioral challenges, yet many conditions also present unique dysmorphic features that distinguish them. Performing a thorough medical and family history and a detailed physical exam with attention to dysmorphic features is often the first step ...
Natasha L. Rudy, Adriana Gomes, Tinatin Tkemaladze, Omar Abdul‐Rahman, Drew Cratsenberg, Giulia Pascolini, Giovanni Di Zenzo, Daniele Castiglia, Emily Black, Camerun Washington, Lauren Chad, Cynthia Curry, Miguel Del Campo, Nicole Fleischer, Lynne M. Bird, Anna C. E. Hurst   +15 more
wiley   +1 more source

Global, regional, and national burden of neonatal diseases attributable to particulate matter pollution from 1990 to 2021. [PDF]

Front Public Health
Li H, Liang L, Song Z, Li Y.
europepmc   +1 more source

Maternal Sirolimus Treatment Reverses Cardiac Rhabdomyoma‐Induced Hydrops Fetalis in a Twin Gestation With Tuberous Sclerosis Complex

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Cardiac rhabdomyomas are often the presenting sign of tuberous sclerosis complex (TSC). Prior reports have shown that maternal sirolimus treatment can reduce rhabdomyomas. We used maternal sirolimus to reverse hydrops fetalis due to a massive cardiac rhabdomyoma in a twin gestation.
David M. Ritter, Kristin Schneider, Nkiru Ezeakudo, Darcy A. Krueger, Tomoyuki Mizuno, Timothy K. Knilans, David N. Franz   +6 more
wiley   +1 more source

Transcriptomic mortality signature defines high-risk neonatal sepsis endotype. [PDF]

Front Immunol
Al Gharaibeh FN, Huang M, Wynn JL, Kamaleswaran R, Atreya MR.   +4 more
europepmc   +1 more source

Neonatal nephrology [PDF]

Current Opinion in Pediatrics, 2012
openaire   +3 more sources

Genotype–Phenotype Correlations, Mortality, and Clinical Insights in Keratitis–Ichthyosis–Deafness Syndrome: A Comprehensive Review and Case Report

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Keratosis–ichthyosis–deafness (KID) syndrome is a rare autosomal dominant ectodermal disease caused by mutations in the GJB2 gene, which encodes the gap junction protein Connexin 26 (Cx26) located on Chr. 13q12.11. This study presents the first mortality analysis associated with KID syndrome, focusing on a case report of a Latin American ...
Leslie Patrón‐Romero, Marco Antonio Hernández Lepe, José de Jesús Manríquez Torres, Diego Daniel Aguirre‐Gómez, Natsuo Hayashi‐Mercado, Genaro Rodríguez Uribe, Tadeo Cerón, María Ruiz‐Gamboa, Jesús Alonso Gándara‐Mireles, Ismael Lares‐Asseff, Verónica Loera‐Castañeda, Jorge Alvelais‐Palacios, Lucrecia Arzamendi‐Cepeda, Lidia Magdalena Castañeda‐González, Adolfo García‐Barrón, Francisco Yamal Quiroz Herrera, Francisco González‐Salazar, Horacio Almanza‐Reyes   +17 more
wiley   +1 more source

Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission. [PDF]

Sci Rep
Malakooti N, Mehrnoush V, Abdi F, Farashah MSV, Darsareh F.   +4 more
europepmc   +1 more source