Geriatrics

Artificial Intelligence-Based Frailty Assessment Outperforms Clinical Assessment in Predicting Outcomes After Transcatheter Aortic Valve Implantation.

Integration of Short- and Long-Read RNA Sequencing Enables the Discovery of Circular RNAs.

UNLABELLED: Circular RNAs (circRNA) are associated with crucial hallmarks of tumorigenesis. Select circRNAs contain circular open reading frames (cORF) and affect tumorigenesis through encoded small peptides. However, current circRNA detection approaches bias toward using short-read RNA sequencing (RNA-seq) for detecting circRNA backsplice junctions without reliably reconstructing complete circRNA...

Deep Learning-Derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-type Metastatic Colorectal Cancer.

PURPOSE: The benefit of treatment intensification in metastatic colorectal cancer (mCRC) may be influenced by host-related factors that are not accoun...

A novel framework for cognitive state identification using resting-state EEG.

Recent advancements in cognitive impairment research have led to significant progress. Electroencephalography (EEG)-based cognitive state identificati...

Towards a cybersecure and privacy enhanced smart grid: A blockchain enabled federated learning framework.

In smart grids, data collection is carried out through smart meters and devices of the Internet of Things, which are installed in the home, allowing t...

ORANGE: a machine learning approach for modeling tissue-specific aging from transcriptomic data.

Despite aging being a fundamental biological process that profoundly influences health and disease, the interplay between tissue-specific aging and mo...

Adverse reactions of PD-1/PD-L1 inhibitors in cancer: FAERS database analysis and protocols to mitigate immune-related events in elderly patients and when using pembrolizumab and atezolizumab.

OBJECTIVE: This study aimed to characterize adverse drug reactions (ADRs) associated with programmed death-1/programmed death-ligand 1 (PD-1/PD-L1) in...

Renal interstitial inflammation predicts IgA nephropathy progression via multiple machine learning models.

BACKGROUND: Renal interstitial inflammation (RII) is a frequent pathological feature in IgA nephropathy (IgAN), but its prognostic value remains uncer...

Within-Day Variations in Infant Body Position Predict Caregiver Speech Input.

Infants' time spent in different body positions varies substantially within a day: lying supine on their backs, crawling or playing while prone on the...

A Deep Learning Algorithm for Liver Metastasis Detection at Contrast-enhanced Abdominal CT in Patients with Colorectal Cancer: A Comparative Study with Radiologists.

Purpose To evaluate the performance of a deep learning algorithm (DLA) for detecting liver metastases (LM) in patients with colorectal cancer (CRC) ac...

Impact of CT calibration curves on radiotherapy planning using diagnostic CT scans and a planning CT supporting DirectDensity reconstruction.

PURPOSE: DirectDensity enables tube voltage-independent, density-calibrated computed tomography (CT) images for treatment planning and is therefore in...

A fine-grained transformer combined with multimodal data for predicting hospital length of stay in acute coronary syndrome.

The prediction of hospital length of stay (LOS) is of great significance for hospitals to rationally allocate medical resources and provide timely tre...

Factors associated with job finding anxiety among senior health sciences students: the role of attitudes toward artificial intelligence.

BACKGROUND: Today, university students are experiencing increasing anxiety about finding a job after graduation. One of the factors intensifying this ...

Exploring the optimal age for total knee arthroplasty to minimize risk of adverse outcomes: machine learning analysis of a statewide cohort.

BACKGROUND: Rates of total knee arthroplasty (TKA) in the United States have risen in patients of a wide age range. Although rates of postoperative TK...

Performance of a complete AI radiographic suite across 258,373 X-rays from 26 countries: A worldwide evaluation.

INTRODUCTION: Radiographic imaging is the primary imaging tool for assessing the presence of an abnormality with two main objectives: detection and ch...

Deep learning-based synthetic brain MRI for the assessment of regional atrophy patterns in neurodegenerative diseases.

OBJECTIVES: Assessing regional brain atrophy on 3D-T1w imaging is crucial for evaluating neurodegenerative disorders. However, high-quality volumetric...

Machine learning-guided Huanglian Jiedu decoction targets STING in periodontitis-induced Alzheimer's Disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder increasingly associated with peripheral inflammatory conditions such as chronic p...

Structural signature of plasma proteins classifies the status of Alzheimer's disease.

Alzheimer's disease (AD) involves proteostasis dysregulation causing protein misfolding, but whether these structural changes manifest as plasma confo...

101 machine learning algorithms for predicting mortality in critically ill patients with spinal cord injury and sarcopenia: a multi-database study.

Distinguishing post-COVID from long-COVID in adults: Development and validation of a biomarker signature using targeted proteomics and machine learning in a cross-sectional observational study.

BACKGROUND: COVID-19 can have diverse clinical manifestations, ranging from asymptomatic infection to critical illness with multiorgan involvement. Wh...