Hematology

Leukemia

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

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Acute Lymphoblastic Leukemia Diagnosis Employing YOLOv11, YOLOv8, ResNet50, and Inception-ResNet-v2 Deep Learning Models

Thousands of individuals succumb annually to leukemia alone. As artificial intelligence-driven tec...

UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction

Ultrasound-based bone surface segmentation is crucial in computer-assisted orthopedic surgery. How...

Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data

The exploration of cellular heterogeneity within the tumor microenvironment (TME) via single-cell ...

A Serial MRI-based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma.

Purpose To develop and evaluate a deep learning-based prognostic model for predicting survival in lo...

Feb 2025 39812582
Constructing Cell-type Taxonomy by Optimal Transport with Relaxed Marginal Constraints

The rapid emergence of single-cell data has facilitated the study of many different biological con...

Detection and Classification of Acute Lymphoblastic Leukemia Utilizing Deep Transfer Learning

A mutation in the DNA of a single cell that compromises its function initiates leukemia,leading to...

Hypergraph Representations of scRNA-seq Data for Improved Clustering with Random Walks

Analysis of single-cell RNA sequencing data is often conducted through network projections such as...

LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes

LiDAR data pretraining offers a promising approach to leveraging large-scale, readily available da...

Large Language Model Agent for Modular Task Execution in Drug Discovery

We present a modular framework powered by large language models (LLMs) that automates and streamline...

DeepPGDB: A Novel Paradigm for AI-Guided Interactive Plant Genomic Database

DeepPGDB (https://www.deeppgdb.chat) is the first AI-driven plant genomics database designed to lowe...

TU_MyCo-Vision: A Deep Learning Tool for Detection of Cell Morphologies in Fungal Microscopic Images

Morphological switching in response to environmental stimuli is a well-known phenomenon in fungi, le...

CellFuse Enables Multi-modal Integration of Single-cell and Spatial Proteomics data

Single-cell and spatial proteomic technologies capture complementary biological information, yet no ...

Explainable machine learning-assisted exploration of chromatin dynamics reveals chromosome-specific response to serum starvation

Chromatin is dynamic at all length scales, influencing chromatin-based processes, such as gene expre...

De novo single-cell biological analysis of drug resistance in human melanoma through a novel deep learning-powered approach

Elucidating drug response mechanisms in human melanoma is crucial for improving treatment outcomes. ...

Deep Learning for Predicting Stem Cell Efficiency for use in Beta Cell Differentiation

Recent clinical trial data have shown that cell therapy holds curative potential for type-1 diabetes...

Peripheral immune patterns enable robust cross-platform prediction of ALS onset and progression

Amyotrophic lateral sclerosis (ALS) progression rates vary dramatically between patients, yet the ba...

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