Latest AI and machine learning research in pregnancy for healthcare professionals.
Chitosan/DNA polyplexes have been optimized for efficient and safe in vitro and in vivo gene deliver...
Non-invasive prenatal diagnosis is used to detect the genetic material of the fetus by isolating the...
In a previous work, using porcine LH (pLH) in lieu of GnRH for synchronizing ovulation in dairy cows...
The discrimination between benign and malignant adnexal masses in ultrasound images represents one o...
OBJECTIVE: To investigate the relationship between gestational diabetes mellitus (GDM) and the usual...
OBJECTIVE: To evaluate anti-Müllerian hormone (AMH) concentrations and antral follicle counts (AFCs)...
OBJECTIVE: To discuss the effect of insulin and metformin on a methylation and glycolipid metabolism...
The study was to evaluate the safety and effectiveness of ultrasound-guided percutaneous laser ablat...
The aim of this study was to describe modifications in plasma homocysteine (Hcy), vitamin E (VitE) a...
Superparamagnetic nanoparticles and a functional, degradable polymer matrix based on poly(ethylene g...
OBJECTIVE: Acoustic radiation force (ARF)-based approaches to measure tissue elasticity require tran...
BACKGROUND: Autism is a multifactorial condition in which a single risk factor can unlikely provide ...
The primary objective of this study was to describe our experience with the conservative treatment o...
Considerable research efforts have recently been dedicated to the establishment of various drug deli...
BACKGROUND: Vancomycin and oxacillin may be used together as empiric coverage in patients with prove...
The goal of this study was to devise a machine learning methodology as a viable low-cost alternative...
Diagnostics, drug delivery, and other biomedical industries rely on cross-linking ligands to microbe...
Division of labor is ubiquitous in biological systems, as evidenced by various forms of complex task...
The classification of abnormalities in ultrasound images is the monitoring tool of fluid to air pass...
The objective of this study is to examine the potential value of using machine learning techniques s...
Medical ultrasound (US) image segmentation and quantification can be challenging due to signal dropo...