Hematology

Leukemia

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

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TransST: Transfer Learning Embedded Spatial Factor Modeling of Spatial Transcriptomics Data

Background: Spatial transcriptomics have emerged as a powerful tool in biomedical research because...

Leveraging Convolutional Neural Networks for Predicting Symptom Escalation in Chemotherapy Patients: A Temporal Resampling Approach.

This paper introduces a novel approach for predicting symptom escalation in chemotherapy patients by...

Apr 2025 40200443
Investigating AI Approaches for Survival Prediction in Chronic Lymphocytic Leukemia.

Chronic lymphocytic leukemia (CLL) exhibits a heterogeneous clinical course. Prognostic markers that...

Apr 2025 40200453
Epidemiology characteristics and clinical outcomes of composite Hodgkin lymphoma and diffuse large B-cell lymphoma using machine learning.

Composite lymphoma (CL) is rare. We conducted an analysis of 53 329 cases of diffuse large B-cell ly...

Apr 2025 40219949
Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset

Leukemia is 10th most frequently diagnosed cancer and one of the leading causes of cancer related ...

Detecting Financial Fraud with Hybrid Deep Learning: A Mix-of-Experts Approach to Sequential and Anomalous Patterns

Financial fraud detection remains a critical challenge due to the dynamic and adversarial nature o...

Machine Learning Unveils Sphingolipid Metabolism's Role in Tumour Microenvironment and Immunotherapy in Lung Cancer.

TME is a core player in the development of a cancerous lesion, the immune evasive potential of the l...

Apr 2025 40159631
EAP4EMSIG -- Enhancing Event-Driven Microscopy for Microfluidic Single-Cell Analysis

Microfluidic Live-Cell Imaging yields data on microbial cell factories. However, continuous acquis...

COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation

Cell instance segmentation (CIS) is crucial for identifying individual cell morphologies in histop...

Fully Unsupervised Annotation of C. Elegans

In this work we present a novel approach for unsupervised multi-graph matching, which applies to p...

Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation

The growing rate of chronic wound occurrence, especially in patients with diabetes, has become a c...

Multimodal AI predicts clinical outcomes of drug combinations from preclinical data

Predicting clinical outcomes from preclinical data is essential for identifying safe and effective...

Semantic Prior Distillation with Vision Foundation Model for Enhanced Rapid Bone Scintigraphy Image Restoration

Rapid bone scintigraphy is an essential tool for diagnosing skeletal diseases and tumor metastasis...

BAMBI integrates biostatistical and artificial intelligence methods to improve RNA biomarker discovery.

RNA biomarkers enable early and precise disease diagnosis, monitoring, and prognosis, facilitating p...

Mar 2025 40121554
Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning

Reinforcement learning (RL) offers powerful techniques for solving complex sequential decision-mak...

Towards Diagnostic Intelligent Systems in Leukemia Detection and Classification: A Systematic Review and Meta-analysis.

OBJECTIVE: Leukemia is a type of blood cancer that begins in the bone marrow and results in high num...

Mar 2025 40013326
Towards an AI co-scientist

Scientific discovery relies on scientists generating novel hypotheses that undergo rigorous experi...

[Construction and preliminary validation of machine learning predictive models for cervical cancer screening based on human DNA methylation].

Using methylation characteristics of human genes to construct machine learning predictive models fo...

Feb 2025 39939021
Breaking Down the Hierarchy: A New Approach to Leukemia Classification

The complexities inherent to leukemia, multifaceted cancer affecting white blood cells, pose consi...

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