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MEGA-CL: A Molecular Foundation Model for Generalizable ADMET Prediction through Graph External Attention and Contrastive Learning

Predicting the absorption, distribution, metabolism, excretion and toxicity (ADMET) properties of sm...

Translational Study of using FOCM/TS Metabolites for Supporting Autism Spectrum Disorder Diagnosis

Purpose Several clinical studies have shown correlations between certain physiological measure-ments...

(2)
Synthetic data generation framework for quality control automation in gravure printing

Quality control in printing, particularly in rotogravure printing, still depends on slow, costly, an...

GEM-GPT Enables Personalized Cell Type-Resolved Therapeutic Design for Systems Pharmacology

Generative artificial intelligence (AI) has emerged as a powerful framework for drug discovery, yet ...

How Does Urban Context Relate to Residential Building Health? A Vision-POI Fusion Framework for Building-Level Housing Inspection

Housing-level urban physical examination is essential for identifying residential building problems ...

MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts

Vision Language Models (VLMs) are well known for hallucinating non-existent objects in images. Objec...

MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts

Vision Language Models (VLMs) are well known for hallucinating non-existent objects in images. Objec...

DobicVLM: Aligning Chest X-Ray Report Generation with Clinically-Grounded Programmatic Rewards via Group Relative Policy Optimization

Medical imaging is a cornerstone of diagnostics, yet automated chest X-ray report generation struggl...

Does Super-Resolution Preserve Defect Evidence? A Low-False-Call Benchmark for Semiconductor Inspection

Super-resolution can make inspection images appear sharper without preserving the evidence needed to...

Structure-guided design of a CD81-binding mini-protein that blocks hepatitis C virus entry

Despite the success of direct-acting antivirals, preventing hepatitis C virus (HCV) reinfection rema...

From Neural Network Decisions to Training Cases: An Exact Account via Case-Based Decision Theory

Neural networks increasingly guide decisions in high-stakes domains such as medical diagnosis, credi...

ReMoDEx: A Local-to-Global Relevance-Based Model Decision Explainability Framework for large-Scale Image Datasets

Deep learning image classifiers achieve strong predictive performance yet remain opaque in how decis...

Deep Learning for Semen Analysis in Male Infertility: Computer Vision, Multimodal Fusion, and Clinical Translation

Male infertility contributes substantially to the global infertility burden, and sperm analysis rema...

Integrative analysis of cfDNA features from ultra-low coverage whole genome sequencing enables robust detection of ovarian cancer

Background: Despite advances in circulating tumor DNA analysis, reliable detection of oncological di...

(1)
Deep Learning based Quantification of Root Exposure in Lower Anterior Teeth using Intraoral camera image

This study compared and evaluated two widely used deep learning-based artificial intelligence (AI) m...

RD-OMICS: An Integrative Multi-Omics Data Inventory in Rare Diseases

Rare diseases (RD) impact over 30 million individuals in the United States, yet fewer than 5% of the...

RCL-Mamba: A Dual-domain State Space Model for Measurement-oriented Image Restoration in Rotational Sparse-View Scanning Computed Laminography

Rotational Scanning Computed Laminography (RCL) is widely utilized for the Non-Destructive Testing(N...

Bridging the NISQ and Fault-Tolerant Regimes: Generative-ML-Assisted Quantum Selected CI for Molecular Simulations

Calculation of binding energies for protein-ligand molecular systems requires accurate treatment of ...

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