Obstetrics & Gynecology

A multiday machine learning framework based on improved-NEQsi for predicting embryo quality and pregnancy outcomes in IVF.

PURPOSE: Current embryo selection is limited by fragmented morphological assessments, high resource ...

Multitask deep learning models for ultrasound image analysis: identification of high-grade serous ovarian cancer and segmentation of tumor regions and intratumoral solid components.

Digital health technologies in pain management for patients with endometriosis: A scoping review.

OBJECTIVE: This scoping review aimed to map the evidence on how digital health technologies are used...

Development of hematopoietic stem cell-targeted lipid nanoparticles through lipid composition optimization.

Hematopoietic stem cell (HSC)-targeted gene editing holds significant potential for treating heredit...

Integrating liquid biopsies and artificial intelligence for early cancer detection: A systematic review and meta-analysis.

INTRODUCTION: The latest generation of liquid biopsies incorporates multi-omic features, including g...

Reimagining Brain Drug Delivery: Mechanistic and Translational Advances in Carbon Nanotube Nanomedicine.

Neurological and neurodegenerative disorders (NDDs) present ongoing therapeutic challenges attribute...

Nanogels for the targeted delivery of antibiotic and antimicrobial drugs.

Nanoparticle-based drug delivery systems represent a promising platform for advancing biomedical the...

A heterogeneous graph neural network for candidate gene prediction in endometriosis.

OBJECTIVE: Precision medicine applications depend on elucidating the underlying molecular mechanisms...

Microneedle-based theranostics for melanoma: Advances and outlook.

Melanoma represents a highly aggressive malignancy that poses persistent challenges for clinical dia...

Using artificial intelligence to predict sexual health outcomes in endometriosis: a decision tree model algorithm.

BACKGROUND: Endometriosis profoundly impairs sexual function through complex interactions between pa...

Diagnostic performance of artificial intelligence for detecting peritoneal and small bowel dissemination in epithelial ovarian cancer using preoperative contrast-enhanced CT imaging.

Identifying Predictive Biomarkers and Immune Infiltration Features in Endometriosis.

Explainable AI for gastrointestinal lesion surveillance and precision targeted drug delivery.

The Internet of Bio-NanoThings (IoBNT) promises revolutionary healthcare applications, particularly ...

Exploring AI Driven Autonomous Vehicles as Mobile Health Units to Expand Access to Healthcare in Underserved Communities.

Access to quality healthcare remains a persistent challenge in many low- and middle-income countries...

Identifying postpartum depression subtypes using natural language processing and clinical notes.

BACKGROUND: Postpartum depression (PPD) remains vastly underdiagnosed, and its clinical heterogeneit...

Validation of conformal prediction in cervical atypia classification.

Deep learning based cervical cancer classification can potentially increase access to screening in l...

Effect of PET-MPs exposure on the toxicology of PCOS: a multi-platform computational toxicology investigation.

Polyethylene terephthalate microplastics (PET-MPs) function as endocrine-disrupting agents that inte...

Recent Advances in the Non-viral Delivery of Genes to Central Nervous System Disorders.

Disorders of the central nervous system (CNS), neurological disorders, neurodegenerative disorders, ...

Integrated single-cell and bulk transcriptomics reveals STAB1 as a novel therapeutic target for ovarian cancer.

The immunosuppressive tumor microenvironment (TME) and intrinsic heterogeneity of ovarian cancer (OC...

Artificial intelligence models for osteoporosis risk prediction in postmenopausal women with CKD: A cross-sectional analysis of NHANES 2005 to 2018.

Artificial intelligence (AI) can transform osteoporosis (OP) screening, but its application in high-...

Classification of histological types in ovarian cancer using deep learning.

BACKGROUND: Histological typing of carcinomas is crucial considering the varying progression, progno...