Hematology

Lymphoma

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

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Diagnostic of fatty liver using radiomics and deep learning models on non-contrast abdominal CT.

PURPOSE: This study aims to explore the potential of non-contrast abdominal CT radiomics and deep le...

Deep Learning Radiomics for Survival Prediction in Non-Small-Cell Lung Cancer Patients from CT Images.

This study aims to apply a multi-modal approach of the deep learning method for survival prediction ...

Importance of dataset design in developing robust U-Net models for label-free cell morphology evaluation.

Advances in regenerative medicine highlighted the need for label-free cell image analysis to replace...

Machine Learning-Enabled Non-Invasive Screening of Tumor-Associated Circulating Transcripts for Early Detection of Colorectal Cancer.

Colorectal cancer (CRC) is a major cause of cancer-related mortality, highlighting the need for accu...

Towards autonomous robotic THz-based in vivo skin sensing: the PicoBot.

Terahertz (THz) light has the unique properties of being very sensitive to water, non-ionizing, and ...

Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks.

Semi-supervised learning with a graph-based approach has become increasingly popular in machine lear...

Integrated machine learning-based optimization framework for surface water quality index comparing coastal and non-coastal cases of Guangxi, China.

In this study, an optimized comprehensive water quality index (WQI) model framework is developed, wh...

Accelerating biopharmaceutical cell line selection with label-free multimodal nonlinear optical microscopy and machine learning.

The selection of high-performing cell lines is crucial for biopharmaceutical production but is often...

Optimizing AI models to predict esophageal squamous cell carcinoma risk by incorporating small datasets of soft palate images.

There is a currently an unmet need for non-invasive methods to predict the risk of esophageal squamo...

Visio-spatial intelligence skills in non-athletes versus amateur boxers.

BACKGROUND: Visio-spatial intelligence (VSI) skills, including abilities such as spatial awareness, ...

AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions.

Autism Spectrum Disorder (ASD) is a neurological condition, with recent statistics from the CDC indi...

Prediction of dry matter intake in growing Black Bengal goats using artificial neural networks.

Dry matter intake (DMI) determination is essential for effective management of meat goats, especiall...

Fluo-Cast-Bright: a deep learning pipeline for the non-invasive prediction of chromatin structure and developmental potential in live oocytes.

In mammalian oocytes, large-scale chromatin organization regulates transcription, nuclear architectu...

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