Hematology

Lymphoma

Latest AI and machine learning research in lymphoma for healthcare professionals.

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Boolean-network simplification and rule fitting to unravel chemotherapy resistance in non-small cell lung cancer

Boolean networks are powerful frameworks for capturing the logic of gene-regulatory circuits, yet ...

TIGPR: A multi-view ground penetrating radar detection data for damage assessment of transportation infrastructure.

The TIGPR dataset is a high-quality collection of ground-penetrating radar (GPR) images designed for...

Jun 2025 40496733
A Hierarchical Graph Convolutional Network With Infomax-Guided Graph Embedding for Population-Based ASD Detection.

Recently, functional magnetic resonance imaging (fMRI)-based brain networks have been shown to be an...

Jun 2025 40036512
Multi-class brain malignant tumor diagnosis in magnetic resonance imaging using convolutional neural networks.

Glioblastoma (GBM), primary central nervous system lymphoma (PCNSL), and brain metastases (BM) are c...

Jun 2025 40180191
A novel artificial intelligence-based methodology to predict non-specific response to treatment.

Non-specific response to treatment (NSRT) is the primary contributor to the failure of randomized cl...

Jun 2025 40262198
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections

Federated learning (FL) on graph-structured data typically faces non-IID challenges, particularly ...

Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG

Accurately localizing the brain regions that triggers seizures and predicting whether a patient wi...

Predicting artificial neural network representations to learn recognition model for music identification from brain recordings.

Recent studies have demonstrated that the representations of artificial neural networks (ANNs) can e...

May 2025 40442206
Comparative Analysis of Machine Learning Models for Lung Cancer Mutation Detection and Staging Using 3D CT Scans

Lung cancer is the leading cause of cancer mortality worldwide, and non-invasive methods for detec...

Personalized Tree based progressive regression model for watch-time prediction in short video recommendation

In online video platforms, accurate watch time prediction has become a fundamental and challenging...

Predicting the risk of ibrutinib in combination with R-ICE in patients with relapsed or refractory DLBCL using explainable machine learning algorithms.

Relapsed or refractory diffuse large B-cell lymphoma (DLBCL) poses significant therapeutic challenge...

May 2025 40418267
eACGM: Non-instrumented Performance Tracing and Anomaly Detection towards Machine Learning Systems

We present eACGM, a full-stack AI/ML system monitoring framework based on eBPF. eACGM collects rea...

Pixels to Prognosis: Harmonized Multi-Region CT-Radiomics and Foundation-Model Signatures Across Multicentre NSCLC Data

Purpose: To evaluate the impact of harmonization and multi-region CT image feature integration on ...

Diffusion Probabilistic Generative Models for Accelerated, in-NICU Permanent Magnet Neonatal MRI

Purpose: Magnetic Resonance Imaging (MRI) enables non-invasive assessment of brain abnormalities d...

Application of deep learning models in the pathological classification and staging of esophageal cancer: A focus on Wave-Vision Transformer.

BACKGROUND: Esophageal cancer is the sixth most common cancer worldwide, with a high mortality rate....

May 2025 40497091
Multi-Attribute Graph Estimation with Sparse-Group Non-Convex Penalties

We consider the problem of inferring the conditional independence graph (CIG) of high-dimensional ...

Improving the discovery of near-Earth objects with machine-learning methods

We present a comprehensive analysis of the digest2 parameters for candidates of the Near-Earth Obj...

An AI-driven strategy for active compounds discovery and non-destructive quality control in traditional Chinese medicine: A case of Xuefu Zhuyu Oral Liquid.

The modernization and globalization of traditional Chinese medicine (TCM) face challenges such as un...

May 2025 39889683
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