Hematology

Lymphoma

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

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Scientific hypothesis generation by large language models: laboratory validation in breast cancer treatment.

Large language models (LLMs) have transformed artificial intelligence (AI) and achieved breakthrough...

Non-Invasive Tumor Budding Evaluation and Correlation with Treatment Response in Bladder Cancer: A Multi-Center Cohort Study.

The clinical benefits of neoadjuvant chemoimmunotherapy (NACI) are demonstrated in patients with bla...

NFR-EDL: Non-linear fuzzy rank-based ensemble deep learning for accurate diagnosis of oral and dental diseases using RGB color photography.

BACKGROUND: Oral health plays a vital role in our daily lives, affecting essential activities like e...

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...

Enhanced non-invasive machine learning approach for early colorectal cancer detection: Predictive modeling and validation in a Jordanian cohort.

BACKGROUND: Colorectal cancer (CRC) ranks as the third most prevalent cancer worldwide, posing signi...

Atten-Nonlocal Unet: Attention and Non-local Unet for medical image segmentation.

The convolutional neural network(CNN)-based models have emerged as the predominant approach for medi...

Non-invasive diagnosis of lung diseases via multimodal feature extraction from breathing audio and chest dynamics.

Early and accurate diagnosis of lung diseases is crucial for effective treatment. While traditional ...

Accuracy of robot and template systems in implant cases: A retrospective non-randomized controlled study.

OBJECTIVES: This clinical study aimed to compare the accuracy of implant placement obtained using a ...

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...

A Physics-Integrated Deep Learning Approach for Patient-Specific Non-Newtonian Blood Viscosity Assessment using PPG.

BACKGROUND AND OBJECTIVE: The aim of this study is to extract a patient-specific viscosity equation ...

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...

GVM-Net: A GNN-Based Vessel Matching Network for 2D/3D Non-Rigid Coronary Artery Registration.

The registration of coronary artery structures from preoperative coronary computed tomography angiog...

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...

Classifying athletes and non-athletes by differences in spontaneous brain activity: a machine learning and fMRI study.

Different types of sports training can induce distinct changes in brain activity and function; howev...

Large-Scale Non-Adiabatic Dynamics Simulation Based on Machine Learning Hamiltonian and Force Field: The Case of Charge Transport in Monolayer MoS.

We present an efficient and reliable large-scale non-adiabatic dynamics simulation method based on m...

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....

An integrated deep learning model for early and multi-class diagnosis of Alzheimer's disease from MRI scans.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that severely affects memory, b...

Deep Reinforcement Learning for CT-Based Non-Invasive Prediction of SOX9 Expression in Hepatocellular Carcinoma.

The transcription factor SOX9 plays a critical role in various diseases, including hepatocellular c...

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