Transplantation

Heart Transplantation

Latest AI and machine learning research in heart transplantation for healthcare professionals.

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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 i...

Effects of Structural Reward Shaping on Biophysical Properties in RL-Trained Plasmid Generators

We compare the efficacy and distributional effects of supervised fine-tuning (SFT) and reinforcement...

CasualSynth: Generating Structurally Sound Synthetic Data

Large Language Models (LLMs) generate realistic synthetic data but offer no guarantee that their out...

SIGNAL: A Scalable, Real-World Model for Rapid Intraoperative Molecular Classification of Gliomas Using Stimulated Raman Histology

Background: Previous machine learning models to intraoperatively predict the molecular status of gli...

Causal-Aware Foundation-Model for Bilevel Optimization in Discrete Choice Settings

We introduce a causal aware foundation-model framework for real time optimal decision making in disc...

Self Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale

Manually curated biomedical repositories -- spanning bioactivity, genomics, and chemistry -- are exp...

Selfie-Capture Dynamics as an Auxiliary Signal Against Deepfakes and Injection Attacks for Mobile Identity Verification

Mobile remote identity verification (RIdV) systems are exposed to attacks that manipulate or replace...

DeepTaxon: An Interpretable Retrieval-Augmented Multimodal Framework for Unified Species Identification and Discovery

Identifying species in biology among tens of thousands of visually similar taxa while discovering un...

Identity-Decoupled Anonymization for Visual Evidence in Multi-modal Retrieval-Augmented Generation

Multi-modal retrieval-augmented generation (MRAG) systems retrieve visual evidence from large image ...

Housekeeping Gene Expression Normalization in Transcriptomics Mitigates Data Leakage in Machine Learning Models

Background: Inappropriate normalization can lead to data leakage and overfitting in machine learning...

Speculative Decoding for Autoregressive Video Generation

Autoregressive video diffusion is emerging as a promising paradigm for streaming video synthesis, wi...

Protocol for LLM-Generated CONSORT Report for Increased Reporting: A Parallel-Arm Randomized Controlled Trial (Protocol)

Background Randomized controlled trials (RCTs) often have incomplete methods reporting despite wides...

Transcriptomic Models for Immunotherapy Response Prediction Show Limited Cross-cohort Generalisability

Immune checkpoint inhibitors (ICIs) have transformed cancer therapy; yet substantial proportion of p...

Real-Time Surrogate Modeling for Personalized Blood Flow Prediction and Hemodynamic Analysis

Cardiovascular modeling has rapidly advanced over the past few decades due to the rising needs for h...

Predicting highly pathogenic avian influenza H5N1 outbreak risk using extreme weather and bird migration data in machine learning models

Background. Climate change is intensifying extreme weather events (EWEs) with potentially profound c...

Image-Conditioned Adaptive Parameter Tuning for Visual Odometry Frontends

Resource-constrained autonomous robots rely on sparse direct and semi-direct visual-(inertial)-odome...

Factored Levenberg-Marquardt for Diffeomorphic Image Registration: An efficient optimizer for FireANTs

FireANTs introduced a novel Eulerian descent method for plug-and-play behavior with arbitrary optimi...

Spatio-temporal mapping of immune cell dynamics during human sequential lymph node metastasis

Regional lymph node (LN) metastasis critically influences distant metastatic progression, anti-tumou...

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