Urology

Machine Learning on a Synergistic Transition Metal Dual-Atom Surface for Efficient Decomposition of Ammonia.

The technology of H production through NH decomposition is of great importance for finding clean energy alternatives to fossil fuels. Here, a framework for screening dual-atom catalysis by integrating machine learning (ML) with high-throughput (HT) calculations to predict the catalytic performance of dual-atom systems for NH decomposition is designed. First-principles-based HT calculations are con...

Computational Histology Artificial Intelligence (CHAI) Enhances Risk Stratification of High-grade Ta Non-muscle-invasive Bladder Cancer in a Multicenter Cohort: Comparison to Current European Association of Urology and American Urological Association Stratification Schemes.

Analytical Comparison of Commonly Used Laboratory-Developed Tests for the Assessment of Ki-67 in Breast Carcinoma With an FDA-Approved Benchmark.

Ki-67 immunohistochemistry (IHC), a commonly used assay for breast cancer risk prognostication, has significant inter-laboratory heterogeneity. This s...

Analysis and characterization of extrachromosomal circular DNA in prostate cancer: Potential biomarker discovery from urine, plasma, and tumor samples.

Extrachromosomal circular DNA (eccDNA) may contribute to genomic rearrangements and tumor heterogeneity, playing a role in cancer development and prog...

Development and validation of a cardiac surgery-associated acute kidney injury prediction model using the MIMIC-IV database.

OBJECTIVE: This study aimed to develop an innovative early prediction model for acute kidney injury (AKI) following cardiac surgery in intensive care ...

Integrated machine learning based on cuproptosis and RNA methylation regulators to explore the molecular model of prostate cancer and provide novel insights to immunotherapy.

As a highly prevalent tumor in males, prostate cancer (PCa) needs newly developed biomarkers to guide prognosis and treatment. However, few researche...

A lipid atlas of the human kidney.

Tissue atlases provide foundational knowledge on the cellular organization and molecular distributions across molecular classes and spatial scales. He...

Intraoperative hypotension during robotic-assisted radical prostatectomy: A randomised controlled trial comparing standard goal-directed fluid therapy with hypotension prediction index-guided goal-directed fluid therapy.

BACKGROUND: Robot-assisted radical prostatectomy (RARP) represents the leading application of robotic surgery in the treatment for prostate cancer wit...

Accuracy and teachability of artificial intelligence chatbots in solving pharmaceutical calculations: a descriptive study.

BACKGROUND: Pharmaceutical calculations are required elements of the Doctor of Pharmacy curriculum in the United States. With the growth of artificial...

Peptide-mediated stabilization of Cel7A for enhanced thermal stability in bioethanol production.

Improving the thermal stability of Cel7A, a key cellulase for bioethanol production, is crucial for reducing costs and enhancing efficiency under ind...

Identification of lipid metabolism-associated biomarkers in lupus nephritis by SVM model and therapeutic potential of Alisol B 23-acetate.

Systemic lupus erythematosus (SLE), a multifaceted autoimmune disorder, has lupus nephritis (LN) as one of its grave complications and is strongly ass...

DWI-based Biologically Interpretable Radiomic Nomogram for Predicting 1- year Biochemical Recurrence after Radical Prostatectomy: A Deep Learning, Multicenter Study.

INTRODUCTION: It is not rare to experience a biochemical recurrence (BCR) following radical prostatectomy (RP) for prostate cancer (PCa). It has been ...

Building Trust in Clinical AI: A Web-Based Explainable Decision Support System for Chronic Kidney Disease.

Chronic Kidney Disease (CKD) is a significant global public health issue, affecting over 10% of the population. Timely diagnosis is crucial for effect...

Machine Learning-Enhanced Structure-Based Gaussian Expansion for Efficient Wavepacket Calculations.

The theoretical treatment of molecular wavepackets remains computationally demanding and becomes increasingly impractical for complex systems with a l...

Predicting rapid kidney function decline in middle-aged and elderly Chinese adults using machine learning techniques.

The rapid decline of kidney function in middle-aged and elderly people has become an increasingly serious public health problem. Machine learning (ML)...

Long-term exposure to PM and liver cancer mortality: Insights into the role of smaller particulate fractions.

Particulate matter (PM) is a recognized carcinogen, but the effects of PM on liver cancer remain underexplored. This study investigates the long-term ...

Association of urinary metal elements with sarcopenia and glucose metabolism abnormalities: Insights from NHANES data using machine learning approaches.

BACKGROUND: Sarcopenia, a condition marked by the decline of skeletal muscle mass and function, is prevalent in the elderly and closely linked to abno...

Case-control study combined with machine learning techniques to identify key genetic variations in GSK3B that affect susceptibility to diabetic kidney diseases.

The role of genetic susceptibility in early warning and precise treatment of diabetic kidney disease (DKD) requires further investigation. A case-cont...

Machine learning-based prediction model for cognitive impairment risk in patients with chronic kidney disease.

BACKGROUND: The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet...

Development of a machine learning-based model to predict urethral recurrence following radical cystectomy: a multicentre retrospective study and updated meta-analysis.

Urethral recurrence (UR) following radical cystectomy for bladder cancer represents an aggressive disease failure with typically poor survival outcome...