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Effect of 4-weeks exercise program using wearable hip-assist robot (EX1) in older adults: one group pre- and post- test.

BACKGROUND: Older adults have muscle loss and are at risk of falling. Recently, research in the heal...

Effects of high-intensity gait training with and without soft robotic exosuits in people post-stroke: a development-of-concept pilot crossover trial.

INTRODUCTION: High-intensity gait training is widely recognized as an effective rehabilitation appro...

Learning curve for robotic rectal cancer resection at a community-based teaching institution.

The surgical management of rectal cancer is shifting toward more widespread use of robotics across a...

An uncertainty aided framework for learning based livermapping and analysis.

. QuantitativeT1ρimaging has potential for assessment of biochemical alterations of liver pathologie...

Deep learning prediction of steep and flat corneal curvature using fundus photography in post-COVID telemedicine era.

Recently, fundus photography (FP) is being increasingly used. Corneal curvature is an essential fact...

Cholesterol Levels, Hormone Replacement Therapy, and Incident Dementia among Older Adult Women.

Previous studies revealed that hormone replacement therapy (HRT) probably has a protective effect fo...

POST-HOC EXPLAINABILITY OF BI-RADS DESCRIPTORS IN A MULTI-TASK FRAMEWORK FOR BREAST CANCER DETECTION AND SEGMENTATION.

Despite recent medical advancements, breast cancer remains one of the most prevalent and deadly dise...

Before-after safety evaluation of part-time protected right-turn signals: An extreme value theory approach by applying artificial intelligence-based video analytics.

Extreme value theory models have opened doors for before-after safety evaluation of engineering trea...

Emerging trends in post-translational modification: Shedding light on Glioblastoma multiforme.

Recent multi-omics studies, including proteomics, transcriptomics, genomics, and metabolomics have r...

Brief exosuit use improves post-stroke gait.

After only 2 weeks of training with an exoskeleton suit, post-stroke individuals improved their knee...

Rapid 500 mL albumin bolus versus rapid 200 mL bolus followed by slower continuous infusion in post-cardiac surgery patients: a pilot before-and-after study.

To evaluate the haemodynamic effects of rapid fluid bolus therapy (FBT) (500 mL of 4% albumin over ...

Development of immersive learning framework (ILF) in achieving the goals of higher education: measuring the impact using a pre-post design.

Emerging technological tools like Artificial Intelligence-based Chatbots, digital educational altern...

Polygenic modelling and machine learning approaches in pharmacogenomics: Importance in downstream analysis of genome-wide association study data.

Genome-wide association studies (GWAS) have identified genetic variations associated with adverse dr...

Natural Language Processing Applied to Clinical Documentation in Post-acute Care Settings: A Scoping Review.

OBJECTIVES: To determine the scope of the application of natural language processing to free-text cl...

Inherently interpretable position-aware convolutional motif kernel networks for biological sequencing data.

Artificial neural networks show promising performance in detecting correlations within data that are...

Response to: Investigating the impact of innovative AI chatbot on post-pandemic medical education and clinical assistance: a comprehensive analysis.

Response to: Investigating the impact of innovative AI chatbot on post-pandemic medical education and clinical assistance: a comprehensive analysis.

Re: Investigating the impact of innovative AI chatbot on post-pandemic medical education and clinical assistance: a comprehensive analysis.

Post-harvest biocontrol of Salmonella Enteritidis on Chicken breast meat and Shell eggs using multiphage cocktail.

The study aimed to evaluate the efficacy of a phage cocktail to reduce Salmonella Enteritidis contam...

Multi-omics integration strategy in the post-mortem interval of forensic science.

Estimates of post-mortem interval (PMI), which often serve as pivotal evidence in forensic contexts,...

Machine Learning for the Prediction of Survival Post-Allogeneic Hematopoietic Cell Transplantation: A Single-Center Experience.

INTRODUCTION: Prediction of outcomes following allogeneic hematopoietic cell transplantation (HCT) r...