Latest AI and machine learning research in transplantation for healthcare professionals.
High-frequency oscillations (HFOs), transient burst of ≥ 80 Hz activity, are increasingly recognized as promising EEG biomarkers of the epileptogenic zone for guiding epilepsy surgery. However, the presence of physiological HFOs in healthy cortex complicates their interpretation. The developmental profile of physiological HFOs in children remains poorly characterized, despite profound maturational...
Efficient drug delivery remains a major challenge in pharmaceutical science, with synthetic nanocarriers often facing limitations in real biological systems. While blood platelets have been explored as biomimetic carriers, their intrinsic capacity for molecular storage and stimulus-triggered release remains largely underutilized. Here, we propose that platelet granules can be viewed as programmabl...
The expanding footprint of human radiation exposure, driven by advances in interventional diagnostics, the resurgence of the nuclear industry and the ...
BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous malignancy with poor prognosis and variable response to therapy. E...
BACKGROUND: Accurate identification of pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal canc...
BACKGROUND: Mitochondrial metabolism (MM) abnormalities have been implicated in multiple diseases, but its contribution to sepsis-associated encephalo...
The challenge of scaling digital computing motivates innovation, especially through the evolution of physical systems that mimic neural networks and c...
Unmanned Aerial Vehicles (UAVs) equipped with robotic manipulators have emerged as a powerful paradigm for advanced aerial manipulation tasks, includi...
Accurate selection of viable embryos is crucial in in vitro fertilisation (IVF) to improve clinical outcomes. Traditional embryo assessment relies on ...
Liver transplantation is a complex process including organ donors, recipients, as well key stakeholders. We propose a new data workflow able to captur...
The secondary use of routine clinical data remains challenging due to heterogeneity and irregularity. We present a structured three-step preprocessing...
Single value imputation and Multiple Imputation Chained Equation (MICE) are widely used for handling missing data cross-sectionally. Although several ...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, including clinical decision-making. AI-based decision support systems (D...
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...
OBJECTIVE: To assess whether artificial intelligence (AI)-derived fluid volume provides prognostic value for visual outcomes in uveitic macular edema ...
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...