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Showing 1156-1176 of 2,914 articles

VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling

We propose VideoRFSplat, a direct text-to-3D model leveraging a video generation model to generate...

Mar 2025 http://arxiv.org/abs/2503.15855v1

A deep learning model trained on expressed transcripts across different tissue types reveals cell-type codon-optimization preferences.

Species-specific differences in protein translation can affect the design of protein-based drugs. Co...

Mar 2025 40156867

COVID 19 Diagnosis Analysis using Transfer Learning

Coronaviruses, including SARS-CoV-2, are responsible for COVID-19, a highly transmissible disease ...

Mar 2025 http://arxiv.org/abs/2503.12642v2

VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation

Recent advancements in Large Language Models (LLMs) have significantly improved text generation ca...

Mar 2025 http://arxiv.org/abs/2503.09103v1

Treble Counterfactual VLMs: A Causal Approach to Hallucination

Vision-Language Models (VLMs) have advanced multi-modal tasks like image captioning, visual questi...

Mar 2025 http://arxiv.org/abs/2503.06169v2

Accelerated Patient-specific Non-Cartesian MRI Reconstruction using Implicit Neural Representations

The scanning time for a fully sampled MRI can be undesirably lengthy. Compressed sensing has been ...

Mar 2025 http://arxiv.org/abs/2503.05051v1

To Vaccinate or not to Vaccinate? Analyzing $\mathbb{X}$ Power over the Pandemic

The COVID-19 pandemic has profoundly affected the normal course of life -- from lock-downs and vir...

Mar 2025 http://arxiv.org/abs/2503.02563v1

Application of Interpretable Machine Learning Models to Predict the Risk Factors of HBV-Related Liver Cirrhosis in CHB Patients Based on Routine Clinical Data: A Retrospective Cohort Study.

Chronic hepatitis B (CHB) infection represents a significant global public health issue, often leadi...

Mar 2025 40105097

Enhancing Hepatopathy Clinical Trial Efficiency: A Secure, Large Language Model-Powered Pre-Screening Pipeline

Background: Recruitment for cohorts involving complex liver diseases, such as hepatocellular carci...

Feb 2025 http://arxiv.org/abs/2502.18531v1

Liver Cirrhosis Stage Estimation from MRI with Deep Learning

We present an end-to-end deep learning framework for automated liver cirrhosis stage estimation fr...

Feb 2025 http://arxiv.org/abs/2502.18225v3

Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization

The emergence of large Vision Language Models (VLMs) has broadened the scope and capabilities of s...

Feb 2025 http://arxiv.org/abs/2502.13146v2

Machine learning algorithm approach to complete blood count can be used as early predictor of COVID-19 outcome.

Although the SARS-CoV-2 infection has established risk groups, identifying biomarkers for disease ou...

Feb 2025 39432758

Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models

Motivation: An adjuvant is a chemical incorporated into vaccines that enhances their efficacy by i...

Feb 2025 http://arxiv.org/abs/2502.09659v1

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation

Guided diffusion-model generation is a promising direction for customizing the generation process ...

Feb 2025 http://arxiv.org/abs/2502.01692v5

Development and Validation of a Novel Model to Discriminate Idiosyncratic Drug-Induced Liver Injury and Autoimmune Hepatitis.

BACKGROUND AND AIM: Discriminating between idiosyncratic drug-induced liver injury (DILI) and autoim...

Feb 2025 39817622

Identification and Validation of Biomarkers in Metabolic Dysfunction-Associated Steatohepatitis Using Machine Learning and Bioinformatics.

BACKGROUND: The incidence of metabolic dysfunction-associated steatohepatitis (MASH) is increasing a...

Feb 2025 39995143

CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs

Multimodal Large Language Models (MLLMs) still struggle with hallucinations despite their impressi...

Jan 2025 http://arxiv.org/abs/2501.16629v1

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction

Longitudinal MRI analysis is crucial for predicting disease outcomes, particularly in chronic cond...

Jan 2025 http://arxiv.org/abs/2501.10733v2

Infectious Disease

Browse Categories

VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling

A deep learning model trained on expressed transcripts across different tissue types reveals cell-type codon-optimization preferences.

COVID 19 Diagnosis Analysis using Transfer Learning

VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation

Treble Counterfactual VLMs: A Causal Approach to Hallucination

Accelerated Patient-specific Non-Cartesian MRI Reconstruction using Implicit Neural Representations

To Vaccinate or not to Vaccinate? Analyzing $\mathbb{X}$ Power over the Pandemic

Application of Interpretable Machine Learning Models to Predict the Risk Factors of HBV-Related Liver Cirrhosis in CHB Patients Based on Routine Clinical Data: A Retrospective Cohort Study.

Enhancing Hepatopathy Clinical Trial Efficiency: A Secure, Large Language Model-Powered Pre-Screening Pipeline

Liver Cirrhosis Stage Estimation from MRI with Deep Learning

Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization

Machine learning algorithm approach to complete blood count can be used as early predictor of COVID-19 outcome.

Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models

Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation

Development and Validation of a Novel Model to Discriminate Idiosyncratic Drug-Induced Liver Injury and Autoimmune Hepatitis.

Identification and Validation of Biomarkers in Metabolic Dysfunction-Associated Steatohepatitis Using Machine Learning and Bioinformatics.

CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction

DPERC: Direct Parameter Estimation for Mixed Data

VirusImmu: a novel ensemble machine learning approach for viral immunogenicity prediction.

Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation

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