Hematology

Leukemia

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

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Deep learning model for early acute lymphoblastic leukemia detection using microscopic images.

Cancer of bone marrow is classified as Acute Lymphoblastic Leukemia (ALL), an abnormal growth of lym...

AI-based identification of Chinese vascular plants from herbarium specimens: a tool for all herbaria with Chinese holdings.

Documenting the geographic ranges of the World's > 350 000 named species of vascular plants requires...

Deep learning-based radiomics does not improve residual cancer burden prediction post-chemotherapy in LIMA breast MRI trial.

OBJECTIVES: This study aimed to evaluate the potential additional value of deep radiomics for assess...

Artificial intelligence in drug design: why a 'one-size-fits-all' approach remains out of reach.

INTRODUCTION: Advances in artificial intelligence (AI) have transformed the drug design and discover...

Acute Leukemia Warning Model Combined CBC and CPD Data Based on Machine Learning.

BACKGROUND: Early diagnosis plays a crucial role in improving the survival rate of acute leukemia (A...

Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images.

Kidney cancer is a leading cause of cancer-related mortality, with renal cell carcinoma (RCC) being ...

Machine Learning-Enhanced Calculation of Quantum-Classical Binding Free Energies.

Binding free energies are key elements in understanding and predicting the strength of protein-drug ...

ToxAI_assistant: a web platform for a comprehensive study of the acute toxicity of xenobiotics following oral and intravenous administration in rats.

The existing QSAR approaches for mammalian acute toxicity have been limited in scope, often relying ...

Predicting Chemotherapy-Induced Peripheral Neuropathy Using Transformer-Based Multimodal Deep Learning.

Chemotherapy-induced peripheral neuropathy (CIPN) is a common and debilitating adverse effect of ca...

Harnessing the Potential of Carotenoids for Cancer Therapy: An Integrated Machine Learning and MST Based Approach.

Receptor tyrosine kinases (RTKs) are high-affinity membrane-anchored receptors involved in cellular ...

Rethinking cancer of unknown primary: from diagnostic challenge to targeted treatment.

Cancer of unknown primary (CUP) is a metastatic malignancy for which a primary site of origin cannot...

High-efficiency spatially guided learning network for lymphoblastic leukemia detection in bone marrow microscopy images.

Leukemia is a hematologic tumor that proliferates in bone marrow and seriously affects the survival ...

Integrating genomic and pathological characteristics to enhance prognostic precision in advanced NSCLC.

Although immunotherapy combined with chemotherapy (ICT) is the standard treatment for advanced non-s...

Lysosome-derived biomarkers for predicting survival outcome in acute myeloid leukemia.

Lysosomes have a tight connection to cancer and can eliminate cancer cells. The dismal prognosis of ...

In silico analysis of atrial fibrillation and hypertension mechanism of action secondary to ibrutinib/acalabrutinib in chronic lymphocytic leukemia.

Ibrutinib and acalabrutinib are first- and next-generation Bruton Tyrosine Kinase inhibitors (BTKi),...

Technological advancements in sports injury: diagnosis and treatment.

Sports injuries are a significant concern for athletes at all levels of competition, ranging from ac...

Economic evaluation of a robotic chemotherapy compounding system and its service expansion to network hospital in Thailand.

BACKGROUND: Robotic systems for chemotherapy preparation offer improved accuracy and staff safety bu...

An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study.

Hemodialysis stands as the most prevalent renal replacement therapy globally. Accurately identifying...

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