Hematology

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

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Advanced Deep Learning Enables Prediction of Allogeneic Stem Cell Mobilization Success

Hematopoietic stem and progenitor cell (HSPC) transplantation offers a potentially curative therapy ...

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 ...

Revive-Flow: A Foundation Model for Blood DNAm Aging

Epigenetic clocks can predict biological age but cannot prescribe the interventions needed to revers...

Deep Learning Detection and Classification of Red Blood Cells: Towards a Universal Dataset

We evaluate emerging machine learning models for pattern recognition, focusing on the YOLOv11 archit...

CNN-based learning of single-cell transcriptomes reveals a blood-detectable multi-cancer signature of brain metastasis

Brain metastasis (BrM) is a serious complication of advanced cancers and remains difficult to predic...

New proteomic biomarkers identified in plasma extracellular vesicles in sarcoidosis: a case-control matched study

Sarcoidosis is a heterogeneous disease with unknown mechanisms, nonspecific therapies, and multiple ...

Cross-Species Morphology Learning Enables Nucleic Acid-Independent Detection of Live Mutant Blood Cells

In hematology/oncology clinics, molecular diagnostics based on nucleic acid sequencing or hybridizat...

System-level health profiling from blood DNA methylation with explainable deep learning

Genome-scale DNA methylation (DNAm) profiles capture organismal physiology, but most predictive mode...

A structure and function-based complete mutational map of Human Hemoglobin using AI

Hemoglobin (Hb), a well-characterized protein central to oxygen transport and molecular medicine, se...

Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging

Circulating blood cell clusters (CCCs) containing red blood cells (RBCs), white blood cells (WBCs), ...

CellDiffusion: a generative model to annotate single-cell and spatial RNA-seq using bulk references

Annotating single-cell and spatial RNA-seq data can be greatly enhanced by leveraging bulk RNA-seq, ...

Facial photographs as proxies for inflammatory aging

Systemic chronic inflammation is a major determinant of aging and disease risk, yet current biomarke...

Systematic discovery of single-cell protein networks in cancer with Shusi

Context-specific protein-protein interaction (PPI) drive heterogeneity of primary tumor, forming a f...

XChrom: a cross-cell chromatin accessibility prediction model integrating genomic sequence and cellular context

Single-cell chromatin accessibility offers unique insights into transcriptional regulation beyond ge...

Predicting Toxicity and Bioactivity of the Chemical Exposome: A Case Study for the Blood Exposome Database

Humans are exposed to thousands of chemicals throughout their life. Many of these chemicals are dete...

Deep Learning links TP53 genotype to expression-defined transcriptional program in Acute Myeloid Leukemia

Acute myeloid leukemia (AML) is a hematological cancer characterized by genetic diversity and poor c...

Single recipient cell tracking of tellurium-labeled extracellular vesicle proteomes (TeLEV) identifies EV-driven immunomodulation

Extracellular vesicles (EVs) mediate tumor-immune cell communication by carrying protein cargo that ...

Redefining the topology of the human bone marrow using augmented spatial transcriptomic analysis

The bone marrow (BM) is the main site of haematopoiesis in adult life. Our understanding of the path...

Ensemble-DeepSets: an interpretable deep learning framework for single-cell resolution profiling of immunological aging

Immunological aging (immunosenescence) drives increased susceptibility to infections and reduced vac...

scCotag: Diagonal integration of single-cell multi-omics data via prior-informed co-optimal transport and regularized barycentric mapping

Recent advances in high-throughput single-cell technologies have enabled characterization of cellula...

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