Double aneuploidy in a 2-month-old male with Edward syndrome and Klinefelter syndrome: a case report.

Introduction And Importance: Edward syndrome is a severe chromosomal defect that occurs as a result of non-disjunction through meiosis. It presents with cardiac septal defects, horseshoe kidneys, patent ductus arteriosus, central nervous system dysgenesis, distinctive craniofacial deformities, and overriding or overlapping fingers. Klinefelter syndrome (47, XXY) is found in 1 in 660 newborn males.

Pediatric Kienböck's Disease in an 11-Year-Old Boy: A Case Report.

Kienböck's disease is a rare condition in the pediatric age group, with little agreement on its natural history and the best treatment option. Typically, these patients present with vague wrist pain and a variable degree of joint motion restriction. Diagnosis is mainly based on clinical suspicion and MRI findings, as radiographs do not show significant changes in the early stages of the disease.

ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images.

Efficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell structures for Convolutional Neural Network (CNN) design. It has been successfully used in various applications including ultrasound image classification for breast lesions. However, the existing ENAS approach only optimizes cell structures rather than the whole CNN architecture nor its trainable hyperparameters.

A review of scaphoid fracture, treatment outcomes, and consequences.

Purpose: Scaphoid fractures are the most common carpal fracture and can lead to severe complications like carpal collapse and osteoarthritis. This study reviewed scaphoid fracture patterns, outcomes, and consequences in conservative and surgical management.

Methods: Sixty-four patients with scaphoid fracture who attended the hand clinic at King Hussein Medical City from January 2022 to December 2022 were included and reviewed regarding the anatomical fracture site, the associated injury, the treatment modality (conservative versus surgical), the healing time, and fracture sequelae such as nonunion and scaphoid nonunion advanced collapse.

Automatic Detection of Thyroid Nodule Characteristics From 2D Ultrasound Images.

Thyroid cancer is one of the common types of cancer worldwide, and Ultrasound (US) imaging is a modality normally used for thyroid cancer diagnostics. The American College of Radiology Thyroid Imaging Reporting and Data System (ACR TIRADS) has been widely adopted to identify and classify US image characteristics for thyroid nodules. This paper presents novel methods for detecting the characteristic descriptors derived from TIRADS.

Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design.

Deep convolutional neural networks (DCNNs) have demonstrated promising performance in classifying breast lesions in 2D ultrasound (US) images. Exiting approaches typically use pre-trained models based on architectures designed for natural images with transfer learning. Fewer attempts have been made to design customized architectures specifically for this purpose.

Swarm intelligence-based model for improving prediction performance of low-expectation teams in educational software engineering projects.

Software engineering is one of the most significant areas, which extensively used in educational and industrial fields. Software engineering education plays an essential role in keeping students up to date with software technologies, products, and processes that are commonly applied in the software industry. The software development project is one of the most important parts of the software engineering course, because it covers the practical side of the course.

Machine Learning Assisted Doppler Features for Enhancing Thyroid Cancer Diagnosis: A Multi-Cohort Study.

Background: This pilot study aims at exploiting machine learning techniques to extract color Doppler ultrasound (CDUS) features and to build an artificial neural network (ANN) model based on these CDUS features for improving the diagnostic performance of thyroid cancer classification.

Methods: A total of 674 patients with 712 thyroid nodules (TNs) (512 from internal dataset and 200 from external dataset) were randomly selected in this retrospective study. We used ANN to build a model (TDUS-Net) for classifying malignant and benign TNs using both the automatically extracted quantitative CDUS features (whole ratio, intranodular ratio, peripheral ratio, and number of vessels) and gray-scale ultrasound (US) features defined by the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS).

A Real-Time Electrical Load Forecasting in Jordan Using an Enhanced Evolutionary Feedforward Neural Network.

Power system planning and expansion start with forecasting the anticipated future load requirement. Load forecasting is essential for the engineering perspective and a financial perspective. It effectively plays a vital role in the conventional monopolistic operation and electrical utility planning to enhance power system operation, security, stability, minimization of operation cost, and zero emissions.

A generic deep learning framework to classify thyroid and breast lesions in ultrasound images.

Breast and thyroid cancers are the two common cancers to affect women worldwide. Ultrasonography (US) is a commonly used non-invasive imaging modality to detect breast and thyroid cancers, but its clinical diagnostic accuracy for these cancers is controversial. Both thyroid and breast cancers share some similar high frequency ultrasound characteristics such as taller-than-wide shape ratio, hypo-echogenicity, and ill-defined margins.

Investigating users' experience on social media ads: perceptions of young users.

Social media platforms changed from being socialization platforms to serve businesses through advertisements. This research aims at investigating active young users' experience with social media ads by studying the personalization and the usefulness of the ads, and the role of the host architecture of the used platform. The results prove that users' experience was affected by the designated variables: personalization, perceived usefulness, and the host architecture.

Challenges facing oncology nurses in Jordan: A qualitative study.

Background: The literature shows that oncology nurses have more stressors than nurses in other units. They face many challenges both within and outside the work environment that affect them negatively. Most of the reviewed studies concerning these challenges were conducted in developed countries.

Exploring the psychological status of Jordanian nurses working with cancer patients.

Aim: This study aims to explore the psychological status of nurses working with cancer patients in Jordan.

Background: Literature shows that nurses face many stressors in their job, in particular oncology nurses. Some of them have psychiatric illness such as anxiety and depression.

Identifying β-thalassemia carriers using a data mining approach: The case of the Gaza Strip, Palestine.

Thalassemia is considered one of the most common genetic blood disorders that has received excessive attention in the medical research fields worldwide. Under this context, one of the greatest challenges for healthcare professionals is to correctly differentiate normal individuals from asymptomatic thalassemia carriers. Usually, thalassemia diagnosis is based on certain measurable characteristic changes to blood cell counts and related indices.

Clinical Cell Therapy Guidelines for Neurorestoration (IANR/CANR 2017).

Cell therapy has been shown to be a key clinical therapeutic option for central nervous system diseases or damage. Standardization of clinical cell therapy procedures is an important task for professional associations devoted to cell therapy. The Chinese Branch of the International Association of Neurorestoratology (IANR) completed the first set of guidelines governing the clinical application of neurorestoration in 2011.

Transplantation of purified autologous leukapheresis-derived CD34+ and CD133+ stem cells for patients with chronic spinal cord injuries: long-term evaluation of safety and efficacy.

This study is aimed at describing a novel method for treating patients with chronic complete spinal cord injuries (SCIs) by utilizing autologous, purified CD34(+) and CD133(+) stem cells (SCs). The study focuses on the safety and efficacy of transplanting unmanipulated, autologous, purified stem cells in treated patients during a 5-year follow-up period. In this report, 19 patients were included (16 males and 3 females) who presented with a complete SCI (ASIA-A) in the thoracic region.

Consensus of clinical neurorestorative progress in patients with complete chronic spinal cord injury.

Currently, there is a lack of effective therapeutic methods to restore neurological function for chronic complete spinal cord injury (SCI) by conventional treatment. Neurorestorative strategies with positive preclinical results have been translated to the clinic, and some patients have gotten benefits and their quality of life has improved. These strategies include cell therapy, neurostimulation or neuromodulation, neuroprosthesis, neurotization or nerve bridging, and neurorehabilitation.

A method for the automated long-term monitoring of three-spined stickleback Gasterosteus aculeatus shoal dynamics.

This paper describes and evaluates a flexible, non-invasive tagging system for the automated identification and long-term monitoring of individual three-spined sticklebacks Gasterosteus aculeatus. The system is based on barcoded tags, which can be reliably and robustly detected and decoded to provide information on an individual's identity and location. Because large numbers of fish can be individually tagged, it can be used to monitor individual- and group-level dynamics within fish shoals.

The effectiveness of stem cell therapies on health-related quality of life and life expectancy in comparison with conventional supportive medical treatment in patients suffering from end-stage liver disease.

The work presented in this study focuses on evaluating health-related quality of life using the International Short Form 36-Item Health Survey in chronic liver disease patients in Cairo, Egypt, who received either stem cell therapy (SCT) or supportive medical treatment (SMT). Long-term follow-up results for patients who underwent therapy compared with healthy individuals showed that patients who underwent SCT showed marked improvements on all domains of the evaluation, much lower mortality rates, and complete absence of malignancy, compared with patients enrolled in SMT. The authors clearly showed a significant advantage of SCT in chronic liver disease patients compared with SMT.

A phase 1/2 study of carfilzomib in combination with lenalidomide and low-dose dexamethasone as a frontline treatment for multiple myeloma.

This phase 1/2 study in patients with newly diagnosed multiple myeloma (N = 53) assessed CRd--carfilzomib (20, 27, or 36 mg/m2, days 1, 2, 8, 9, 15, 16 and 1, 2, 15, 16 after cycle 8), lenalidomide (25 mg/d, days 1-21), and weekly dexamethasone (40/20 mg cycles 1-4/5+)--in 28-day cycles. After cycle 4, transplantation-eligible candidates underwent stem cell collection (SCC) then continued CRd with the option of transplantation. The maximum planned dose level (carfilzomib 36 mg/m2) was expanded in phase 2 (n = 36).