Results 231 to 240 of about 41,399 (301)
ABSTRACT Background Anti‐Müllerian hormone is widely used as a marker of ovarian reserve, but its stage‐specific follicular origin remains unclear in the common marmoset (Callithrix jacchus). Methods Follicle diameters were reassessed histologically, and plasma anti‐Müllerian hormone concentrations were measured using an ultrasensitive enzyme‐linked ...
Dong‐Won Seol +10 more
wiley +1 more source
Screening and analysis of plasma small extracellular vesicle MiRNAs at various estrous cycle phases of goat. [PDF]
Mao S +9 more
europepmc +1 more source
Artificial intelligence-based dairy cattle behavior recognition for estrus detection via ensemble fusion of two camera views. [PDF]
Hanpinitsak P +5 more
europepmc +1 more source
Abstract Disorders of gonadotropin pulsatility contribute to reproductive dysfunction in humans and are often associated with metabolic dysfunction. Hypogonadotropic hypogonadism is characterized by chronically insufficient gonadotropin hormone production, leading to reproductive and metabolic impairments, such as infertility and obesity.
Nimisha Nandankar +7 more
wiley +1 more source
Ovarian remnant syndrome in a 2-year-old cat with inconclusive diagnostics. [PDF]
Moore H +5 more
europepmc +1 more source
Abstract This study aims to provide a detailed characterization of luteinizing hormone (LH) pulsatility in male and female Sprague–Dawley and Wistar rats, utilizing a minimally invasive tail‐tip blood sampling approach across various reproductive states.
Nabil Nasri +2 more
wiley +1 more source
Effect of the use of eCG on the pregnancy rate in dairy cows treated with a prolonged proestrus protocol in the Ecuadorian Amazon. [PDF]
Ortega-Coello ME +3 more
europepmc +1 more source
MARUYAMA, Jun-ichi +2 more
openaire +1 more source
Effects of synthetized porcine follicle-stimulating hormone and synthetized human chorionic gonadotropin on reproductive efficiency in pigs. [PDF]
Li J +9 more
europepmc +1 more source
Cattle Farming Activity Monitoring Using Advanced Deep Learning Approach. [PDF]
Asim M, Anam B, Ali MN, Kim BS.
europepmc +1 more source

