Obstetrics & Gynecology

VLCD: Vision-Language Contrastive Distillation for Accurate and Efficient Automatic Placenta Analysis

Pathological examination of the placenta is an effective method for detecting and mitigating healt...

A Large Convolutional Neural Network for Clinical Target and Multi-organ Segmentation in Gynecologic Brachytherapy with Multi-stage Learning

Purpose: Accurate segmentation of clinical target volumes (CTV) and organs-at-risk is crucial for ...

Upregulation of immune genes in the proliferative phase endometrium enables classification into women with recurrent pregnancy loss versus controls.

STUDY QUESTION: Does the transcriptome of preconceptional endometrium in the proliferative phase sho...

Artificial Intelligence (AI) and The Journal of Pediatric and Adolescent Gynecology (JPAG).

Revolution of AAV in Drug Discovery: From Delivery System to Clinical Application.

Adeno-associated virus (AAV) is a non-enveloped DNA virus infecting a wide variety of species, tissu...

Stratifying Risk for Postpartum Depression at Time of Hospital Discharge.

OBJECTIVE: Postpartum depression (PPD) is a major contributor to postpartum morbidity and mortality....

Exploring therapeutic and diagnostic potential of cysteine cathepsin as targets for cancer therapy with nanomedicine.

Cysteine cathepsins have been discovered to be substantially expressed in multiple types of cancer. ...

Exploring the link between grandmaternal air pollution exposure and Grandchild's ASD risk: A multigenerational population-based study in California.

BACKGROUND: Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder with increasing prevalen...

Deep Learning-Based Automated Measurement of Cervical Length in Transvaginal Ultrasound Images of Pregnant Women.

Cervical length (CL) measurement using transvaginal ultrasound is an effective screening tool to ass...

Deep learning based on ultrasound images predicting cervical lymph node metastasis in postoperative patients with differentiated thyroid carcinoma.

OBJECTIVES: To develop a deep learning (DL) model based on ultrasound (US) images of lymph nodes for...

Alpha test 1 robotic platform for traditional Chinese medicine pretreatment: Automated modular integration and quality control applications.

Sample pretreatment plays an important role in analytical performance, but it is often the rate-limi...

Deep Learning-Enhanced Hand-Driven Microfluidic Chip for Multiplexed Nucleic Acid Detection Based on RPA/CRISPR.

The early detection of high-risk human papillomavirus (HR-HPV) is crucial for the assessment and imp...

Immunohistochemistry and machine learning study of DNA replication-associated proteins in uterine epithelial tumors and precursor lesions.

Endometrioid adenocarcinoma (EA) has been on the increase in recent years in developed countries. Ea...

PregAN-NET: Addressing Class Imbalance with GANs in Interpretable Computational Framework for Predicting Safety Profile of Drugs Considering Adverse Reactions During Pregnancy.

Adverse Drug Reactions (ADRs) during pregnancy pose significant risks to both the mother and the fet...

Implementing 100% quality control in a cervical cytology workflow using whole slide images and artificial intelligence provided by the Techcyte SureView™ System.

BACKGROUND: Recent advancements in digital pathology have extended into cytopathology. Laboratories ...

Predicting Placenta Accreta Spectrum Disorder Through Machine Learning Using Metabolomic and Lipidomic Profiling and Clinical Characteristics.

OBJECTIVE: To perform metabolomic and lipidomic profiling with plasma samples from patients with pla...

Developmental toxicity: artificial intelligence-powered assessments.

Regulatory agencies require comprehensive toxicity testing for prenatal drug exposure, including new...

Temporal validation of machine learning models for pre-eclampsia prediction using routinely collected maternal characteristics: A validation study.

BACKGROUND: Pre-eclampsia (PE) contributes to more than one-fourth of all maternal deaths and half a...

Paving the way for bacteria-based drug delivery: biohybrid microrobots emerging from microrobotics and synthetic biology.

Advances in microrobotics and synthetic biology are paving the way for innovative solutions to long-...

Predicting pregnancy-related pelvic girdle pain using machine learning.

BACKGROUND: Pregnancy-related pelvic girdle pain (PPGP) is a common complication during gestation wh...

Deciphering the mechanism of baicalein in cervical cancer via bioinformatics, machine learning and computational simulations: PIM1 and CDK2 are key target proteins.

Cervical cancer is one of the leading causes of death among women worldwide. Current treatments are ...