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Wristful thinking: exploring the effects of robotic rehabilitation and cross-education for persons with multiple sclerosis.

The goal of this work was to develop an adaptive rehabilitation technique using a haptic wrist robot...

Gut microbiome alterations and hepatic encephalopathy post-TIPS in liver cirrhosis patients.

BACKGROUND: The transjugular intrahepatic portosystemic shunt (TIPS), a crucial tool for treating co...

Divide-and-conquer strategy with engineered ossification center organoids for rapid bone healing through developmental cell recruitment.

Current approaches for bone repair predominantly target localized delivery of growth factors that ar...

Exploratory development of human-machine interaction strategies for post-stroke upper-limb rehabilitation.

BACKGROUND: Stroke and its related complications, place significant burdens on human society in the ...

Beyond Recanalization: Machine Learning-Based Insights into Post-Thrombectomy Vascular Morphology in Stroke Patients.

Many stroke patients have poor outcomes despite successful endovascular therapy (EVT). We hypothesiz...

Integrating CT radiomics and clinical features using machine learning to predict post-COVID pulmonary fibrosis.

BACKGROUND: The lack of reliable biomarkers for the early detection and risk stratification of post-...

Jackalope Plus tool for post-coordination, ontology development, and precise mapping in observational health studies.

Accurate mapping of complex health data to the OMOP CDM while preserving clinical nuance remains a c...

Multimodal nomogram integrating deep learning radiomics and hemodynamic parameters for early prediction of post-craniotomy intracranial hypertension.

To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracrani...

Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery.

Hip fractures among the elderly population continue to present significant risks and high mortality ...

Assessment of drug induced hyperuricemia and gout risk using the FDA adverse event reporting system.

Hyperuricemia, the key pathological basis of gout, is increasingly prevalent worldwide. While lifest...

Deep learning strategies for semantic segmentation of pediatric brain tumors in multiparametric MRI.

Automated segmentation of pediatric brain tumors (PBTs) can support precise diagnosis and treatment ...

Advancing patient monitoring, diagnostics, and treatment strategies for transplant precision medicine.

Transplant medicine faces substantial challenges, as patients require lifelong immunosuppression to ...

Transforming heart transplantation care with multi-omics insights.

Heart transplantation (HTx) remains the definitive treatment for patients with end-stage heart disea...

An explainable multi-task deep learning framework for crash severity prediction using multi-source data.

Traffic accidents pose significant global challenges, causing substantial injuries, fatalities, and ...

Machine learning based prediction of geotechnical parameters affecting slope stability in open-pit iron ore mines in high precipitation zone.

Rainfall and its interaction with soil, rock, and environmental factors such as soil moisture conten...

Machine learning model for predicting Amyloid-β positivity and cognitive status using early-phase F-Florbetaben PET and clinical features.

This study developed machine learning models to predict Aβ positivity in Alzheimer's disease by inte...

Personalized prediction model generated with machine learning for kidney function one year after living kidney donation.

Living kidney donors typically experience approximately a 30% reduction in kidney function after don...

A textual dataset of de-identified health records in Spanish and Catalan for medical entity recognition and anonymization.

The advancement of clinical natural language processing systems is crucial to exploit the wealth of ...

Taking the Guess Work Out of Endoscopic Polyp Measurement: From Traditional Methods to AI.

Colonoscopy is a crucial tool for evaluating lower gastrointestinal disease, monitoring high-risk pa...

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