Pregnancy

Circadian Rhythm of Heart Rate and Heart Rate Variability in Pregnancy.

The autonomic nervous system (ANS) regulates physiological changes during pregnancy, supporting fetal development and homeostasis. Heart rate (HR) and heart rate variability (HRV) are non-invasive ANS biomarkers; however, their circadian rhythms during pregnancy remain underexplored due to the lack of continuous data collection, a gap now addressed by wearable technology. This study is the first c...

Machine Learning for Predicting the Transition From Gestational Diabetes to Type 2 Diabetes: A Systematic Review.

Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes (T2D) postpartum. Early identification of high-risk women using machine learning (ML) models could enable targeted interventions and improve outcomes. This systematic review aims to evaluate the performance, predictive features, and methodological quality of ML models designed to predict the transiti...

The association between maternal exposure to ten neonicotinoid insecticides and preterm birth in Guangxi, China.

Preterm birth (PTB) is a primary cause of mortality among newborns globally. Prenatal exposure to environmental pollutants has been suggested to incre...

Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings.

Deep learning techniques have significantly enhanced the convenience and precision of ultrasound image diagnosis, particularly in the crucial step of ...

Deep learning predicts HER2 status in invasive breast cancer from multimodal ultrasound and MRI.

The preoperative human epidermal growth factor receptor type 2 (HER2) status of breast cancer is typically determined by pathological examination of a...

Improved Prediction Accuracy for Late-Onset Preeclampsia Using cfRNA Profiles: A Comparative Study of Marker Selection Strategies.

: Late-onset pre-eclampsia (LO-PE) remains difficult to predict because placental angiogenic markers perform poorly once maternal cardiometabolic fact...

Optimization of Protein Extraction from Rapeseed Oil Cake by Dephenolization Process for Scale-Up Application Using Artificial Neural Networks.

Rapeseed proteins, due to their quality and wide availability, have great potential for application in human nutrition. However, their high content of...

Automated high precision PCOS detection through a segment anything model on super resolution ultrasound ovary images.

PCOS (Poly-Cystic Ovary Syndrome) is a multifaceted disorder that often affects the ovarian morphology of women of their reproductive age, resulting i...

Automated Microbubble Discrimination in Ultrasound Localization Microscopy by Vision Transformer.

Ultrasound localization microscopy (ULM) has revolutionized microvascular imaging by breaking the acoustic diffraction limit. However, different ULM w...

Deciphering Shared Gene Signatures and Immune Infiltration Characteristics Between Gestational Diabetes Mellitus and Preeclampsia by Integrated Bioinformatics Analysis and Machine Learning.

Gestational diabetes mellitus (GDM) and preeclampsia (PE) are common and serious disorders of pregnancy that threaten maternal safety and perinatal ou...

Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images.

Segmentation is one of the most significant steps in image processing. Segmenting an image is a technique that makes it possible to separate a digital...

Standardized algorithm for cesarean scar pregnancy management: single-center outcomes.

OBJECTIVE: To evaluate the clinical utility of a standardized algorithm in the management of cesarean scar pregnancy (CSP) by assessing and comparing ...

Dexmedetomidine versus Magnesium Sulphate in Ultrasound-Guided Bilateral bi-Level Erector Spinae Plane Block in Corrective Scoliosis Surgery: A Randomized Controlled Clinical Trial.

OBJECTIVES: There is a scarcity of research regarding the effects of LAs adjuvant drugs in erector spinae plane block (ESPB), especially in scoliosis ...

Maternal and umbilical cord plasma purine concentrations after oral carbohydrate loading prior to elective Cesarean delivery under spinal anesthesia: a randomized controlled trial.

OBJECTIVE: To evaluate the effect of preoperative intake of oral carbohydrates versus standard preoperative fasting prior to elective cesarean deliver...

Investigation of serum neuroserpin levels in pregnant women diagnosed with pre-eclampsia: a prospective case-control study.

OBJECTIVE: Neuroserpin, a serine protease inhibitor, is recognized for its anti-inflammatory and neuroprotective properties. Given the central role of...

Integrity of polymeric micelles regulates bioavailability of cyclosporine A: A FRET-based analysis during oral delivery.

This study comprehensively investigated the effect of structural integrity on the oral delivery efficacy of mPEG-b-PCL polymeric micelles (PMs) using ...

Effective data selection via deep learning processes and corresponding learning strategies in ultrasound image classification.

In this study, we propose a novel approach to enhancing transfer learning by optimizing data selection through deep learning techniques and correspond...

Combining lipidomics and machine learning to identify lipid biomarkers for nonsyndromic cleft lip with palate.

Nonsyndromic cleft lip with palate (nsCLP) is a common birth defect disease. Current diagnostic methods comprise fetal ultrasound images, which are ma...

[The study of implementation of digital technologies on sphere of labor protection and its impact on personnel of enterprises of marine industry].

The innovative technologies are becoming widespread in all spheres of human life, including labor protection. The AI, modern systems of monitoring and...

Deep learning approaches for classification tasks in medical X-ray, MRI, and ultrasound images: a scoping review.

Medical images occupy the largest part of the existing medical information and dealing with them is challenging not only in terms of management but al...