Transplantation

Utilizing natural language processing (NLP) to identify breast cancer-associated lung metastases from pathology reports to delineate characteristics of this site of recurrence.

PURPOSE: Natural language processing (NLP, artificial intelligence) can enable automated identification of records in large datasets. The purpose of this study was to evaluate the feasibility of NLP in identifying breast cancer-associated lung metastases and to understand the clinical characteristics and challenges of this common site of breast cancer recurrence. METHODS: NLP was applied to a larg...

MetalKB: Predicting Metal Binding Sites on Proteins with a Knowledge-Based Graph Framework.

Metal ions play a crucial role in the function, regulation, and stability of proteins. Therefore, accurate prediction of metal ions' binding sites is valuable to reveal the molecular mechanism of related biological processes. Here, we propose MetalKB, a novel knowledge-based framework for predicting the binding sites of metal ions on proteins by using atomic-level statistical potentials and graph-...

Advances in New Approach Methodologies for Assessing ADME Properties of Nano-formulations.

Conventional animal models face ethical concerns and scientific limitations, as interspecies differences often fail to capture the unique pharmacokine...

Broadband visible-light anti-reflection enabled by a bilayer dielectric metamaterial with deep-learning-driven inverse design.

Achieving ultra-low reflection across the visible spectrum and under wide incident angles is of considerable importance for broadband antireflection c...

Deep-Learning Algorithm Diagnostic Support for Usual Interstitial Pneumonia Pattern Recognition in Fibrotic Interstitial Lung Disease.

BACKGROUND AND OBJECTIVE: High resolution computed tomography (HRCT) scan diagnostic classification for usual interstitial pneumonia (UIP) plays a cri...

From prediction to precision: how immunopeptidomics advances neoantigen discovery.

T cell recognition of peptides presented by class I and II human leukocyte antigen (HLA) molecules is fundamental to cancer immunity and personalized ...

MUSiK: An Open Source Simulation Library for 3D Multi-View Ultrasound.

Diagnostic ultrasound has long filled a crucial niche in medical imaging thanks to its portability, affordability, and favorable safety profile. Now, ...

Developing Evolving Adaptability in Biological Intelligence: A Novel Biologically-Inspired Continual Learning Model for Video Saliency Prediction.

In the era of deep learning, video saliency prediction task still remains major challenge due to the issue of catastrophic forgetting during feature l...

Models Integrating Disease Heterogeneity and MPA Exposure Predict Systemic and Renal Efficacy of Mycophenolate in Pediatric Lupus Nephritis.

OBJECTIVES: This study aimed to develop and validate integrated prediction models for pediatric lupus nephritis (LN) treated with a mycophenolate mofe...

CT data harmonization via learned virtual monoenergetic imaging for cross-kV scan translation and radiomics reproducibility.

BACKGROUND: Radiomics extracts quantitative imaging features from computed tomography (CT) data for clinical decision-making. However, variations in a...

Usefulness of Artificial Intelligence for Surgical Support in Robot-assisted Distal Pancreatectomy: A Preliminary Case Report.

BACKGROUND/AIM: The incidence of postoperative complications in minimally-invasive surgery for pancreatic disease remains a concern. The application o...

Advanced Control of Continuous Pharmaceutical Manufacturing Processes: A Case Study on the Application of Artificial Neural Network for Predictive Control of a CDC Line.

The adoption of continuous pharmaceutical manufacturing has driven increased use of modeling, simulation, and advanced process control strategies. Art...

Adult patients with autoinflammation of unknown origin partially phenocopy the immune presentation of Still's disease.

Autoinflammation of unknown origin remains amongst the most enigmatic of systemic autoinflammatory disorders (SAID), with systemic autoinflammatory sy...

Arrhythmias and cardiac devices management in oncology patients.

Cardiac arrhythmia is increasingly encountered in patients with cancer, not only as a result of shared risk factors but also as a direct consequence o...

A high-speed attention network for MHC-bound peptide identification and 3D modeling.

We developed SwiftMHC, an ultra-fast and accurate structure-based framework for peptide-MHC (pMHC) modeling and binding affinity prediction. Using tas...

Identification of a personalized eGFR threshold improves the prediction of kidney failure risk after transplantation.

BACKGROUND: Many factors cause kidney transplant graft failure. To identify at-risk patients and tailor treatment, failure risks must be accurately pr...

Single-Cell Sequencing and Transcriptomic Sequencing Exploration of the Mechanisms Governing Lactylation in Mitochondrial Diseases.

Mitochondrial diseases (MDs) consist of a heterogeneous spectrum of disorders resulting from mutations in either nuclear or mitochondrial DNA, disrupt...

The Gut-Liver Axis in Metabolic Dysfunction-Associated Steatotic Liver Disease: From Mechanistic Insights to Precision Therapeutics.

Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most prevalent chronic liver condition globally, shifting the diagnost...

Predictive accuracy of a perioperative hemodynamic indices-based prediction model for moderate-to-severe acute kidney injury after orthotopic heart transplantation.

BACKGROUND: Acute kidney injury is a common complication after orthotopic heart transplantation. Previous models have failed to consider the impact of...

Simulon: An AI-Assisted, PyTorch-Native Framework of Molecular Dynamics and Modeling.

The growing complexity of modern molecular simulations calls for new frameworks that unify physical modeling, machine learning, and human-AI interacti...