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Pharmacovigilance from social media: mining adverse drug reaction mentions using sequence labeling with word embedding cluster features.

OBJECTIVE: Social media is becoming increasingly popular as a platform for sharing personal health-r...

Use of a robotic device for the rehabilitation of severe upper limb paresis in subacute stroke: exploration of patient/robot interactions and the motor recovery process.

This pioneering observational study explored the interaction between subacute stroke inpatients and ...

Should post-kidney transplant patients with localized prostate cancer be undergoing robotic radical prostatectomy?

How could robotic training and botolinum toxin be combined in chronic post stroke upper limb spasticity? A pilot study.

BACKGROUND: Spasticity has a role of primary importance in functional motor recovery of upper limb a...

Assist-as-Needed Robot-Aided Gait Training Improves Walking Function in Individuals Following Stroke.

A novel robot-aided assist-as-needed gait training paradigm has been developed recently. This paradi...

Prediction of peripheral blood lymphocyte subpopulations after renal transplantation.

Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...

Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals.

Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination ...

Progressive fine-to-coarse reconstruction for accurate low-bit post-training quantization in vision transformers.

Due to its efficiency, Post-Training Quantization (PTQ) has been widely adopted for compressing Visi...

Advancement of an automatic segmentation pipeline for metallic artifact removal in post-surgical ACL MRI.

Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-te...

Classification of Individuals With COVID-19 and Post-COVID-19 Condition and Healthy Controls Using Heart Rate Variability: Machine Learning Study With a Near-Real-Time Monitoring Component.

BACKGROUND: Heart rate variability (HRV) is a validated biomarker of autonomic and inflammatory regu...

Lower Extremity Bypass Surveillance and Peak Systolic Velocities Value Prediction Using Recurrent Neural Networks.

Routine duplex ultrasound surveillance is recommended after femoral-popliteal and femoral-tibial-ped...

Developing risk stratification strategies and biomarkers for recurrent hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, with high rates ...

Afforestation Surpasses Abandonment in the Recovery of Post-Agricultural Soil Organic Carbon in China as Estimated by Machine Learning Models.

The surface soil organic carbon (SOC) dynamics typically follow a trend of initial loss followed by ...

Enhancing Brain Metastases Detection and Segmentation in Black-Blood MRI Using Deep Learning and Segment Anything Model (SAM).

PURPOSE: Black-blood (BB) magnetic resonance images (MRI) offer superior image contrast for the dete...

FairICP: identifying biases and increasing transparency at the point of care in post-implementation clinical decision support using inductive conformal prediction.

OBJECTIVES: Fairness concerns stemming from known and unknown biases in healthcare practices have ra...

An Interpretable Quantum Adjoint Convolutional Layer for Image Classification.

The interpretability of quantum machine learning (QML) refers to the capability to provide clear and...

Structural Investigation and Enriched Catalysis of Cu-Complex-Encapsulated Microporous Catalyst with Pragmatic Modeling for Prediction of Activity by Using Machine Learning.

Silicoaluminophosphates (SAPOs) are structurally diverse materials widely used in separation, cataly...

Identifying environmental drivers of Aedes aegypti and Aedes albopictus abundance in the Dallas-Fort Worth metroplex using Random Forest modeling.

Aedes aegypti and Aedes albopictus are 2 medically important vectors that have established populatio...

Integrative analyses of 16S rDNA sequencing and serum metabolomics demonstrate significant roles for the oral microbiota and serum metabolites in post-kidney transplant diabetes mellitus.

Oral microbiota and serum metabolites play crucial roles in diabetes, but their relationship with po...

Volumetric and Diffusion Tensor Imaging Abnormalities Are Associated With Behavioral Changes Post-Concussion in a Youth Pig Model of Mild Traumatic Brain Injury.

Mild traumatic brain injury (mTBI) caused by sports-related incidents in children and youth often le...

Automatic adult age estimation using bone mineral density of proximal femur via deep learning.

Accurate adult age estimation (AAE) is critical for forensic and anthropological applications, yet t...