Latest AI and machine learning research in transplantation for healthcare professionals.
BACKGROUND: As America's baby boom generation reaches retirement, the number of elders, and, in turn...
Molecular recognition - the determination of which agent binds which target - governs adaptive immun...
Introduction: Postmortem imaging at ultrahigh field strengths, such as 7 Tesla (7T) magnetic resonan...
We propose HyperNiche, a hypergraph-based framework for modeling higher-order, heterogeneous cellula...
Non-canonical HLA-presented peptides are promising therapeutic targets, but their low abundance make...
A closed-loop quality system deployed across thirteen US hospital sites resolved physician complaint...
Single-cell and spatial omics technologies are generating biological datasets at a scale that increa...
Female sexual behavior is fundamentally coupled to reproductive state, requiring the dynamic and coo...
Referring expression comprehension (REC) aims to localize a target object within an image based on a...
Automated pavement distress assessment requires more than image-level classification or coarse bound...
Horizontal gene transfer (HGT), the movement of genetic material between unrelated organisms, is wid...
Photonic quantum computing is a promising platform for scalable quantum machine learning, but design...
Multimodal Large Language Model (MLLM)-driven image restoration agent demonstrates effectiveness in ...
Light microscopy imaging with histological stains is central to disease diagnosis and research. It i...
We compare the efficacy and distributional effects of supervised fine-tuning (SFT) and reinforcement...
Large Language Models (LLMs) generate realistic synthetic data but offer no guarantee that their out...
The immense value of public gene expression repositories is constrained by the lack of compatibility...
Industrial visual inspection systems increasingly rely on deep classifiers whose heatmap explanation...
Visual reasoning, often interleaved with intermediate visual states, has emerged as a promising dire...
Background: Previous machine learning models to intraoperatively predict the molecular status of gli...
By resolving cell-type compositions from multi-cellular spatial measurements, deconvolution is centr...