Latest AI and machine learning research in transplantation for healthcare professionals.
Multiphasic contrast-enhanced CT (CECT) is widely used for abdominal lesion characterization, yet it carries inherent risks of contrast-induced nephropathy, escalates acquisition burden, and heavily contributes to radiologist workload. To address these challenges, we introduce a novel multi-center benchmark for multi-organ abdominal disease diagnosis and automated radiology report generation, whic...
Oppenheim and Lim (1981) showed that natural images stay recognizable when reconstructed from their Fourier phase alone, while the magnitude carries little of their identity. We ask whether trained image classifiers reproduce this asymmetry inside their hidden layers, and we test it causally: given two images, we transplant the phase of one onto the magnitude of the other at a chosen layer and rec...
Long-term mortality rates after endovascular aneurysm repair (EVAR) remain elevated due to post-EVAR rupture caused by loss of seal in stent graft sea...
Translating high-dimensional, spatially resolved molecular datasets into testable biological findings remains a major research bottleneck. Here, we pr...
Spatial multi-omics holds great promise for dissecting complex biological processes, though inherent technical constraints continue to limit its wides...
Industrial products such as valves and circuit breakers are defined by dense technical specifications that govern procurement, compatibility, and safe...
The functional annotation of plant genes lags significantly behind their genomic annotation. Closing this gap requires thorough cataloging of reported...
Accurate prediction of solubility remains a central challenge across materials science and sustainable chemistry. In particular due to emerging techno...
Learning compatible representations aims to learn feature representations that can be used interchangeably over time whenever a model undergoes update...
Background. Type 2 diabetes mellitus (T2D) is defined by progressive pancreatic {beta}-cell dysfunction whose molecular underpinnings remain incomplet...
HLA-E presented cancer peptides can be promising cancer therapy targets, as HLA-E is minimally polymorphic and widely expressed across human populatio...
Subject Customization is a foundational task in modern image generation. By providing a few reference images and a text prompt, users can generate ima...
Furnished floor plans are fundamental to real estate visualization, interior design, and architectural workflows. However, progress in automatic furni...
Conditional generators provide a natural tool for controllable generation, including settings where the desired condition is a new composition of obse...
AI is increasingly used to support scientific peer review, from manuscript screening, reviewer assistance to editorial triage. Although such systems p...
Foundation models trained on single-cell transcriptomic data offer the promise of identifying and predicting the diversity of cellular phenotypes acro...
Molecular recognition - which small molecule binds which protein, and with what selectivity - governs the efficacy, safety, and discovery of every the...
Background Magnetoencephalography (MEG) is a unique technique in human neuroimaging combining high temporal resolution (millisecond or faster) with mo...
Modern object detectors achieve strong performance on standard benchmarks, yet their robustness to contextual variation remains insufficiently underst...
Conditional generators provide a natural tool for controllable generation, including settings where the desired condition is a new composition of obse...