Latest AI and machine learning research in transplantation for healthcare professionals.
Single value imputation and Multiple Imputation Chained Equation (MICE) are widely used for handling missing data cross-sectionally. Although several predictive and generative deep learning based methods address missing multivariate time series (MTS) data under Missing at Random /Missing Completely at Random types of missingness, their performance banks on the interpretation of missingness. Missin...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, including clinical decision-making. AI-based decision support systems (DSS) can enhance early risk detection and treatment optimization. However, the perspectives of patients and their support persons on AI-assisted DSS in clinical care, particularly regarding shared decision-making (SDM), remain underexplored. OBJECTIVE...
Alopecia is a common dermatologic disorder with psychological and quality-of-life impact. Current options such as PRP, topical agents, microneedling o...
Continuous, real-time, and accurate monitoring of human physiological signals is crucial for proactive healthcare and chronic disease management. Trad...
Inferring the biophysical parameters of conductance-based models (CBMs) from experimentally accessible recordings remains a central challenge in compu...
This study presents and evaluates an automated volumetric modulated arc therapy (VMAT) planning framework for breast cancer based on objective functio...
The management of febrile neutropenia (FN) in oncohematological patients is undergoing a paradigm shift driven by a deeper understanding of patients' ...
Accurate prediction of organ-specific toxicity with mechanistic interpretability remains a central challenge in chemical safety assessment and transla...
Per- and polyfluoroalkyl substances (PFAS) are persistent pollutants linked to breast cancer (BC), but their role in perineural invasion (PNI) of trip...
G protein-coupled receptors (GPCRs) serve as central hubs in tumor signal transduction and microenvironment regulation. However, their therapeutic exp...
BACKGROUND: The clinical value of artificial intelligence (AI)-based diagnostic systems depends not only on their accuracy but also on how well their ...
Dual-atom catalysts (DACs) have emerged as a transformative class of atomically dispersed catalysts that bridge the gap between single-atom catalysts ...
BackgroundThe clinical heterogeneity of systemic lupus erythematosus exceeds the resolution of conventional disease activity instruments. Artificial i...
Many diseases, including obesity, have systemic effects that perturb multiple organ systems throughout the body1,2. However, tools for comprehensive, ...
Kidney volume measurement is critical for managing polycystic kidney disease and monitoring transplants, but computed tomography involves radiation an...
Pemphigus vulgaris (PV) is a rare autoimmune blistering disease mediated by pathogenic autoantibodies. Although both HLA and non-HLA loci contribute t...
Breast cancer is highly heterogeneous,and different molecular subtypes exhibit significant variations in their response to immunotherapy.While signifi...
Context-dependent alternative splicing plays a critical role in disease pathogenesis and organ development, but its complex regulation remains challen...
Cystinosis is a rare lysosomal storage disorder that affects approximately 1 in 100,000 to 200,000 live births worldwide. Long-term graft success in c...
Predicting spatial gene expression from hematoxylin and eosin (H&E)-stained histological images is a central challenge in the field of computational p...