Hematology

Leukemia

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

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The Best of All Worlds: A Hybrid Approach to Cohort Identification with Rules, Small and Large Language Models.

Balancing operational feasibility with the performance of natural language processing (NLP) systems ...

Detection of Brain Cancer Using Genome-wide Cell-free DNA Fragmentomes.

UNLABELLED: Diagnostic delays in patients with brain cancer are common and can impact patient outcom...

AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice.

Artificial intelligence (AI) is rapidly transforming healthcare, yet it often remains opaque to clin...

Deep learning predicts the effect of neoadjuvant chemotherapy for patients with triple negative breast cancer.

BACKGROUND: Triple negative breast cancer (TNBC) is an aggressive subcategory of breast cancer with ...

Epigenetic Heritability of Cell Plasticity Drives Cancer Drug Resistance through a One-to-Many Genotype-to-Phenotype Paradigm.

UNLABELLED: Cancer drug resistance is multifactorial, driven by heritable (epi)genetic changes but a...

Drug repurposing to identify potential FDA-approved drugs targeting three main angiogenesis receptors through a deep learning framework.

Tumor cell survival depends on the presence of oxygen and nutrients provided by existing blood vesse...

Learning-Based Classification of B- and T-Cell Lymphoma on Histopathological Images: A Multicenter Study.

Lymphoma, a clonal malignancy from lymphocytes, includes diverse subtypes requiring distinct immunoh...

Photoinduced dynamics of CO on Ru(0001): Understanding experiments by simulations with all degrees of freedom.

Real-time pump-probe experiments are powerful tools for monitoring chemical reactions but often need...

Exosomal Gene Biomarkers in Osteosarcoma: Mifepristone as a Targeted Therapeutic Revealed by Multi-Omics Analysis.

Osteosarcoma (OS) is an aggressive bone cancer that mainly occurs in children and adolescents. OS pa...

Nutritionally Responsive PMv DAT Neurons Are Dynamically Regulated During Pubertal Transition.

Pubertal development is tightly regulated by energy balance. The crosstalk between metabolism and re...

A Machine Learning-Based Strategy Predicts Selective and Synergistic Drug Combinations for Relapsed Acute Myeloid Leukemia.

UNLABELLED: Combination therapies are one potential approach to improve the outcomes of patients wit...

Label-free single-cell phenotyping to determine tumor cell heterogeneity in pancreatic cancer in real time.

Resistance to chemotherapy of pancreatic ductal adenocarcinoma (PDAC) is largely driven by intratumo...

Leveraging deep learning to discover interpretable cellular spatial biomarkers for prognostic predictions based on hepatocellular carcinoma histology.

The spatial structure of various cell types in the tumour microenvironment (TME) can provide valuabl...

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