Transplantation

Artificial intelligence across organ-on-a-chip workflows: current implementations and future approaches.

Organ-on-a-Chip (OoC) systems use microfluidic and tissue engineering techniques to recreate key features of organ microenvironments. They have become a common platform for disease modeling and drug screening. As OoC technologies advance, they generate larger and more diverse datasets. Traditional manual analysis and endpoint measurements are therefore no longer sufficient to capture dynamic proce...

Clinical phenotyping of bloodstream infections: a review of current evidence.

BACKGROUND: Bloodstream infections (BSIs) are a leading cause of morbidity and mortality, yet their clinical heterogeneity continues to challenge effective patient stratification and treatment optimisation. In other heterogeneous conditions such as sepsis, data-driven clinical subphenotyping has identified reproducible subgroups with distinct outcomes and treatment responses. Whether similar appro...

Development and internal validation of an interpretable machine learning model for predicting vancomycin-induced nephrotoxicity in hospitalized children.

INTRODUCTION: Vancomycin is widely used for severe Gram‑positive infections in children, but vancomycin‑induced nephrotoxicity (VIN) limits its safe a...

Comparison of classic statistical methods and machine learning approaches to classify readiness.

MOTIVATION: Predicting physical and cognitive readiness in warfighters is critical for mission success. These predictions can be improved by identifyi...

AMR-VSF: an adaptive memory correction framework for robust 3D CT aorta segmentation.

PURPOSE: Accurate 3D aortic segmentation in CT images is vital for cardiovascular disease diagnosis, surgical planning, and intraoperative navigation....

Performance-Based Frailty Tools Capture Distinct Risk Phenotypes in Kidney Transplant Candidates: A Comparative Analysis of FRAIL and SPPB.

Frailty predicts adverse outcomes in kidney transplant candidates, but it remains unclear whether different frailty tools identify the same or distinc...

Intelligent engineering of Cs2AgBi0.75Sb0.25Br6 lead-free perovskite solar cells via machine learning-based optimization of charge transport materials and fabrication parameters.

This study presents a machine learning-driven framework to optimize environmentally friendly lead-free Cs2AgBi0.75Sb0.25Br6 perovskite solar cells (PS...

A unified solvatochromic-computational-machine-learning approach for solvent property prediction based on iodine color response.

Solvent effects govern the majority of chemical transformations, yet experimentally accessible and universally applicable tools for predicting solvati...

From accuracy to service: deciding what artificial intelligence outputs may do in veterinary diagnostic laboratories.

Artificial intelligence (AI) tools are entering veterinary diagnostic laboratory service, but reported model accuracy does not determine what the labo...

Development and validation of a multidimensional machine learning model for predicting delayed graft function in deceased donor kidney transplantation.

PURPOSE: Delayed graft function (DGF) remains a significant complication following deceased donor kidney transplantation. This study aimed to develop ...

Quantum-Trained AI Enables Inverse Design of Organic Frontier Orbitals at Billion-Scale.

Frontier orbital energies govern charge transfer, energy-level alignment, and optoelectronic performance in organic molecules, yet their prediction ac...

Strong internal electric field-modulated carbon nitride for tetracycline photodegradation: Guidance by theoretical calculation and machine learning.

Focusing on the limited light absorption and poor charge behaviors of graphitic carbon nitride (CN), this work selected diethyl 2,5-bis(thieno[3,2-b]t...

Integrative single-cell and machine-learning analysis identifies LGALS1 as a macrophage-associated diagnostic and prognostic biomarker in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is characterized by marked heterogeneity and an immunosuppressive microenvironment in which tumor-associate...

Integrative single-cell sequencing and machine learning analyses identify chronic inflammation and cancer-associated fibroblast subsets as drivers of adverse outcomes in ovarian cancer.

BACKGROUND: Ovarian cancer remains the deadliest gynecological malignancy, with neoadjuvant chemotherapy (NACT) often leaving residual fibroblast-enri...

NeutroChem Fusion: an uncertainty-aware source diagnosis framework for mining impacted waters in West Africa.

Mining impacted waters in West Africa are mixed chemical systems in which mining-derived Hg-Pb-Cd signals, geogenic As-Fe-Mn mobilisation, acid mine d...

Triglyceride-glucose frailty index, metabolic-frailty phenotypes, and mortality in critically ill patients with acute kidney injury: Derivation, interpretation, and external validation.

BACKGROUND: Prognosis remains heterogeneous among critically ill patients with acute kidney injury (AKI). We evaluated the triglyceride-glucose frailt...

The synergy of artificial intelligence and organ-on-a-chip: building a next-generation intelligent engine for drug development.

Drug development has long been constrained by high costs, lengthy timelines, and low success rates, primarily due to the insufficient human physiologi...

Autonomous Vascular Access Devices: Current Solutions and Future Challenges.

INTRODUCTION: Central venous cannulation is essential for life-saving interventions including resuscitation of critically ill patients, hemodynamic mo...

Mechanisms of brain-body interactions in post-stroke visceral dysfunction and recovery.

Traditionally, stroke has been characterized as an acute focal brain injury; however, its clinical consequences extend beyond neurological deficits to...

Revisiting clinical scoring tools for the diagnosis of thrombotic thrombocytopenic purpura (TTP).

Thrombotic thrombocytopenic purpura (TTP) is a rare, life-threatening hematologic emergency that leads to increased complexities and mortality due to ...