Hematology

Leukemia

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

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Named Entity Recognition for Payment Data Using NLP

Named Entity Recognition (NER) has emerged as a critical component in automating financial transacti...

A single-cell atlas and aging clock define biological age and risk-associated stem cell states in human hematopoiesis

Aging of hematopoietic stem and progenitor cells (HSPCs) impairs regenerative capacity and predispos...

A custom phenotypic profile for Fanconi anemia: Addressing gaps in existing disease annotations

Fanconi anemia (FA) is a rare genetic disorder of impaired DNA repair characterized by progressive b...

ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning

Building general-purpose embodied agents across diverse hardware remains a central challenge in robo...

Autoregressive forecasting of future single-cell state transitions

Existing methods for dynamic analysis of static single-cell RNA-sequencing data can reconstruct temp...

Multimodal Machine Learning Reveals the Genomic and Proteomic Architecture of Heart Failure with Preserved Ejection Fraction

Heart failure with preserved ejection fraction (HFpEF) affects over 30 million people and lacks dise...

Mapping trans-eQTLs at single-cell resolution using Latent Interaction Variational Inference.

Single-cell expression quantitative trait loci (eQTL) studies hold promise for linking genetic varia...

Know Your Scientist: KYC as Biosecurity Infrastructure

Biological AI tools for protein design and structure prediction are advancing rapidly, creating dual...

Selective Glucocorticoid Receptor Modulators of Immune Checkpoint Function

Glucocorticoids (GCs) coordinate immunity, inflammation and metabolism through allosteric regulation...

Prediction of Mutations and Outcome in Gastrointestinal Stromal Tumors with Deep Learning: A Multicenter, Multinational Study

Background: Gastrointestinal stromal tumor (GIST) is the most common gastrointestinal mesenchymal tu...

clinTALL: machine learning-driven multimodal subtypeclassification and treatment outcome prediction in pediatric T-ALL

Background: Childhood T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic ma...

A systematic assessment of machine learning for structural variant filtering

Background: Accurate discrimination of true structural variants (SVs) from artifacts in long-read se...

Nab-paclitaxel fused with the de novo designed receptor binder exhibits enhanced tumor targeting and therapeutic efficacy

Chemotherapy has been widely used in cancer treatment, but most of the chemotherapeutic drugs rely m...

Scalable Batch Correction for Cell Painting via Batch-Dependent Kernels and Adaptive Sampling

Cell Painting is a microscopy-based, high-content imaging assay that produces rich morphological pro...

Prioritizing DNA methylation biomarkers using graph neural networks and explainable AI

DNA methylation is a significant epigenetic modification involving the addition of a methyl group to...

FoldVision: A compute-efficient atom-level 3D protein encoder

Protein function emerges from three-dimensional structure, yet many large-scale protein prediction p...

Generative modeling reveals the connection between cellular morphology and gene expression

The understanding of how transcriptional programs give rise to cellular morphology, and how morpholo...

Gene-exposure interactions regulate cytokine-mediated chronic inflammation and cardiac remodeling

Background: Chronic inflammation predicts adverse cardiovascular outcomes, but mechanisms linking sy...

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