Hematology

Leukemia

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

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Perceptual predictions track subjective, over objective, statistical structure

Predictive processes in cognition and the brain are usually modelled as tracking objective event pro...

Differentiation hierarchy in adult B cell acute lymphoblastic leukemia at clonal resolution

While a differentiation hierarchy with leukemia-initiating stem cells (LICs) at the apex is well doc...

VASCilia (Vision Analysis StereoCilia): A Napari Plugin for Deep Learning-Based 3D Analysis of Cochlear Hair Cell Stereocilia Bundles

Cochlear hair cells are essential for hearing, and their stereocilia bundles are critical for mechan...

PATTY corrects open chromatin bias for improved bulk and single-cell CUT&Tag profiling

Precise profiling of epigenomes is essential for better understanding chromatin biology and gene reg...

Imaging cellular activity simultaneously across all organs of a vertebrate reveals body-wide circuits

All cells in an animal collectively ensure, moment-to-moment, the survival of the whole organism in ...

Gene-Family Encoding Boosts Domain-Adapted Single-Cell Language Models

Transformer-based single-cell foundation models often rely on ranked-gene (RG) sequences where genes...

PyCLM: programming-free, closed-loop microscopy for real-time measurement, segmentation, and optogenetic stimulation

In cell biology, optical techniques are increasingly used to measure cells’ internal states (biosens...

CellProphet: Dissecting Virtual Cell Differentiation through AI-Powered Dynamic Gene Regulatory Network Inference

The AI Virtual Cell (AIVC) framework promises to revolutionize biological research through high-fide...

Development of an EMT-related exosomal miRNA signature that can predict prognosis in hepatocellular carcinoma

Chemoresistance and epithelial-mesenchymal transition (EMT) are associated with failure of cancer ch...

TRANCERs: Engineering enhancers into autonomous tissue-specific expression cassettes

The process by which a foreign gene is introduced into a cell and translated into a functional prote...

Application and Characterization of the Multiple Instance Learning Framework in Flow Cytometry

For decades, flow cytometry has allowed for single-cell profiling based on selected biomarkers and i...

Integrative Chemical Genetics Platform Identifies Condensate Modulators Linked to Neurological Disorders

Aberrant biomolecular condensates are implicated in multiple incurable neurological disorders, inclu...

DREAMER-S: Deep leaRning-Enabled Attention-based Multiple-instance approaches with Explainable Representations for Spatial biology

Identifying image features that associate strongly with diagnostic or prognostic classes in large-sc...

Consensus Pituitary Atlas, a scalable resource for annotation, novel marker discovery and analyses in pituitary gland research

Previous single-cell profiling studies of the pituitary gland have yielded minimally reproducible in...

Nephrobase Cell+: Multimodal Single-Cell Foundation Model for Decoding Kidney Biology

Large foundation models have revolutionized single-cell analysis, yet no kidney-specific model curre...

Natural Scene Coding Consistency in Genetically-Defined Cell Populations

Understanding how genetically-defined cell populations encode visual information remains a fundament...

Identifying tissue states by spatial protein patterns related to chemotherapy response in triple-negative breast cancer

Triple-negative breast cancer (TNBC) is an aggressive malignancy with limited targeted therapies and...

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