Obstetrics & Gynecology

Development and evaluation of exemestane-loaded lyotropic liquid crystalline gel formulations.

The use of liquid crystalline (LC) gel formulations for drug delivery has considerably improved the current delivery methods in terms of bioavailability and efficacy. The purpose of this study was to develop and evaluate LC gel formulations to deliver the anti-cancer drug exemestane through transdermal route. Two LC gel formulations were prepared by phase separation coacervation method using gly...

A pilot study in using deep learning to predict limited life expectancy in women with recurrent cervical cancer.

Network-based machine learning and graph theory algorithms for precision oncology.

Network-based analytics plays an increasingly important role in precision oncology. Growing evidence in recent studies suggests that cancer can be bet...

Biological activities of plant extracts from and : An antimalarial, antitrypanosomal and cytotoxity evaluation.

The cytotoxic, antiplasmodial, and antitrypanosomal activities of two medicinal plants traditionally used in Cameroon were evaluated. Wood of Roxb. e...

Computerized detection of leukocytes in microscopic leukorrhea images.

PURPOSE: Detection of leukocytes is critical for the routine leukorrhea exam, which is widely used in gynecological examinations. An elevated vaginal ...

Classification of Diffusion Tensor Metrics for the Diagnosis of a Myelopathic Cord Using Machine Learning.

In this study, we propose an automated framework that combines diffusion tensor imaging (DTI) metrics with machine learning algorithms to accurately c...

Robotic milking: Technology, farm design, and effects on work flow.

Robotic milking reduces labor demands on dairy farms of all sizes and offers a more flexible lifestyle for farm families milking up to 250 cows. Becau...

Medical capsule robots: A renaissance for diagnostics, drug delivery and surgical treatment.

The advancements in electronics and the progress in nanotechnology have resulted in path breaking development that will transform the way diagnosis an...

The Identification and Tracking of Uterine Contractions Using Template Based Cross-Correlation.

The purpose of this paper is to outline a novel method of using template based cross-correlation to identify and track uterine contractions during lab...

Integration of data mining classification techniques and ensemble learning to identify risk factors and diagnose ovarian cancer recurrence.

Ovarian cancer is the second leading cause of deaths among gynecologic cancers in the world. Approximately 90% of women with ovarian cancer reported h...

Insulin Resistance, Hyperinsulinemia, and Mitochondria Dysfunction in Nonobese Girls With Polycystic Ovarian Syndrome.

OBJECTIVE: Obese girls with polycystic ovarian syndrome (PCOS) have decreased insulin sensitivity (IS), muscle mitochondrial dysfunction and increased...

DeepPap: Deep Convolutional Networks for Cervical Cell Classification.

Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a highly effective cell imaging based cancer detection tool, wh...

A structured latent model for ovarian carcinoma subtyping from histopathology slides.

Accurate subtyping of ovarian carcinomas is an increasingly critical and often challenging diagnostic process. This work focuses on the development of...

Regarding "Robotic Versus Laparoscopic Staging for Early Ovarian Cancer: A Case-matched Control Study".

Subtotal hysterectomy by natural orifice transluminal endoscopic surgery.

STUDY OBJECTIVE: To introduce the innovative surgical procedure of treating benign uterine pathology with subtotal hysterectomy by natural orifice tra...

Machine Learning for Social Services: A Study of Prenatal Case Management in Illinois.

OBJECTIVES: To evaluate the positive predictive value of machine learning algorithms for early assessment of adverse birth risk among pregnant women a...

Node-based differential network analysis in genomics.

Gene dependency networks often undergo changes in response to different conditions. Understanding how these networks change across two conditions is a...

Introduction of robot-assisted radical hysterectomy for early stage cervical cancer: impact on complications, costs and oncologic outcome.

INTRODUCTION: The objective was to assess the impact of robot-assisted radical hysterectomy (RRH) on surgical and oncologic outcome and costs compared...

Biodegradable microrobots for targeting cell delivery.

These days, cell delivery is considered a potential method for treatment of many genetic diseases or tissue regeneration applications. In conventional...

Feature Extraction and Classification of EHG between Pregnancy and Labour Group Using Hilbert-Huang Transform and Extreme Learning Machine.

Preterm birth (PTB) is the leading cause of perinatal mortality and long-term morbidity, which results in significant health and economic problems. Th...