Transplantation

Routine laboratory trajectories encode the onset of organ-level complications in cancer

Routine laboratory panels drawn during cancer treatment constitute longitudinal physiological recordings of organ function, yet their temporal structure is discarded by single-timepoint prognostic tools. A transformer trained on 2,777,595 laboratory measurements from 3,905 patients with multiple myeloma or ovarian cancer predicted the two-year onset of 162 treatment-associated complications, inclu...

Recipient cell identity governs intracellular transport and membrane interactions of extracellular vesicles across species

Extracellular vesicles (EVs) function as a natural communication system, enabling transfer of biomolecules between cells. Although EVs are produced by nearly all cell types and have shown promise as therapeutic agents, our understanding of how EVs from different cellular origins recognize recipient cells, are taken up, and processed intracellularly remains limited. In particular, it remains unclea...

Single-Cell Multi-Omics Dissection of Malignant Evolutionary Mechanisms and Construction of a Prognostic Model for Clear Cell Renal Cell Carcinoma

Clear cell renal cell carcinoma (ccRCC) exhibits pronounced heterogeneity across WHO histological grades, yet systematic single-cell multi-omics studi...

FDM: A Framework for Decision-making to build ML-based Malware detection systems

Selecting appropriate machine learning (ML) configurations for malware detection is a complex, multi-criteria problem. Model choice, feature engineeri...

Consistent-Inversion: Reverse Consistency Guidance for Structure-Preserving Visual Editing

Text-guided diffusion models have become effective tools for real-image visual editing, where the edited image must follow a target instruction while ...

SC-MFJ: A Simple Haptic Quality Metric for Medical Image Segmentation

Standard segmentation metrics such as Dice and Hausdorff distance measure geometric overlap but say nothing about whether a segmented surface is suita...

Vibe Coding Specificity Foundation Models

Molecular recognition - the determination of which agent binds which target - governs adaptive immunity, gene regulation, signal transduction, RNA sil...

An open-source stereotaxic container with an integrated cutting guide for human brain fixation during magnetic resonance imaging and sectioning for histology

Introduction: Postmortem imaging at ultrahigh field strengths, such as 7 Tesla (7T) magnetic resonance imaging (MRI), enables unprecedented visualizat...

HyperNiche: Learning Heterophilic Cellular Niches with Hypergraph Neural Networks

We propose HyperNiche, a hypergraph-based framework for modeling higher-order, heterogeneous cellular niches from spatial transcriptomics data. Unlike...

Real-time artificial intelligence prediction of peptide characteristics and MSFragger search improves multiplexed quantification of non-canonical HLA presented peptides in clear cell renal cell carcinoma.

Non-canonical HLA-presented peptides are promising therapeutic targets, but their low abundance makes them difficult to reproducibly identify and quan...

Closed-Loop Quality Assurance for Production Clinical AI Documentation

A closed-loop quality system deployed across thirteen US hospital sites resolved physician complaints with zero regressions on 42 tracked cases across...

CARIBOU: Computational AI Research Interface for Bioinformatics, Omics, and Unifying Agents

Single-cell and spatial omics technologies are generating biological datasets at a scale that increasingly exceeds the capacity of expert manual analy...

Distinct afferent signatures onto anterior and posterior VMHvl subdomains and their progesterone receptor-expressing neurons

Female sexual behavior is fundamentally coupled to reproductive state, requiring the dynamic and coordinated regulation of sexual receptivity and reje...

Towards Open-World Referring Expression Comprehension: A Benchmark with Training-free Multi-task Consistency Checker

Referring expression comprehension (REC) aims to localize a target object within an image based on a given expression. Although recent advances in vis...

Pixel-Level Pavement Distress Assessment Using Instance Segmentation

Automated pavement distress assessment requires more than image-level classification or coarse bounding box detection, demanding precise localization ...

A machine learning framework for interpreting phylogenetic tree patterns in interkingdom horizontal gene transfer

Horizontal gene transfer (HGT), the movement of genetic material between unrelated organisms, is widely recognized as an important driver of genome ev...

Q-PhotoNAS: Hybrid Quantum Neural Architecture Search Framework on Photonic Devices

Photonic quantum computing is a promising platform for scalable quantum machine learning, but designing effective hybrid architectures remains challen...

EvoIR-Agent: Self-Evolving Image Restoration Agentic System via Experience-Driven Learning

Multimodal Large Language Model (MLLM)-driven image restoration agent demonstrates effectiveness in degradation coupling scenarios by flexibly selecti...

DigitAb: Domain-Adaptive Cell Type Prediction Method from Light Microscopy Images

Light microscopy imaging with histological stains is central to disease diagnosis and research. It is enhanced with immunostaining to reveal cellular ...

Clonal haematopoiesis without identified genetic drivers: insights from analyses of 407,512 individuals

Clonal haematopoiesis (CH) becomes ubiquitous as humans age. The role of somatic driver mutations in its development has been studied widely, but litt...