Hematology

Leukemia

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

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OmniCell: Unified Foundation Modeling of Single-Cell and Spatial Transcriptomics for Cellular and Molecular Insights

Single-cell RNA sequencing (scRNA-seq) enables characterization of cellular heterogeneity but lacks ...

Deep learning inference of universal dormancy pseudotime reveals the cellular targets of anti-cancer therapies

Controlled exit from and re-entry into the cell cycle is essential for multi-cellular life, while ab...

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...

High throughput quantitative tracking of single parasite in Plasmodium falciparum

New systematic profiling of drug effects is in urgent demand due to limitations in existing drug ass...

BCL-XL Dependence is a Subtype Agnostic Actionable Feature of Difficult-to-Treat Kidney Cancers

The BCL-XL anti-apoptotic protein is a clear cell Renal Cell Carcinoma (ccRCC) dependency; however, ...

Spatially distinct chromatin compaction states predict neoadjuvant chemotherapy resistance in Triple Negative Breast Cancer

Organisation and dynamics of chromatin play a key role in regulation of cell state and function. In ...

A Druggable Tumor Suppressor and Leukemic Stem Cell Marker

Acute myeloid leukemia (AML) often enters remission after chemotherapy but frequently relapses due t...

lncAPNet enables the deciphering of lncRNA–mRNA connections in patient transcriptomic data

Long non-coding RNAs (lncRNAs) regulate gene expression through chromatin remodeling, transcriptiona...

WAD: a wavelet-based linear programming method using L1-minimal reconstruction loss for accessible chromatin data deconvolution

Bulk tissue-based accessible chromatin studies provide summary annotations across all cell types wit...

Image-based Explainable Artificial Intelligence Accurately Identifies Myelodysplastic Neoplasms Beyond Conventional Signs of Dysplasia

Evaluation of bone marrow morphology by experienced hematologists is key in the diagnosis of myeloid...

Integrating Multidimensional Data Analytics for Precision Diagnosis of Chronic Low Back Pain

Low back pain (LBP) is a leading cause of disability worldwide, with up to 25% of cases become chron...

Diagnosis of Blood Diseases and Disorders with Topological Deep Learning

Blood diseases and disorders, including leukemia and infectious diseases of red blood cells, pose si...

AI-Powered Exploration of IGF2BP3 as a Prognostic Biomarker in Chronic Myeloid Leukemia Progression and Disease Stratification

Chronic Myeloid Leukemia (CML) progresses through chronic, accelerated, and blast crisis phases, mak...

Six-Minute Knee MRI: A Comparison of Novel Approaches for Accelerated Imaging

Accelerated knee MRI protocols using deep learning (DL)-based reconstruction, 3D acquisitions, and p...

A Claims-Based Machine Learning Classifier of Modified Rankin Scale in Acute Ischemic Stroke

We developed a classifier to infer acute ischemic stroke (AIS) severity from Medicare claims using t...

Phenotyping Adolescent Endometriosis: Characterizing Symptom Heterogeneity Through Note- and Patient-Level Clustering

Pelvic pain (dysmenorrhea and non-menstrual) is the most common presentation of adolescent endometri...

The influence of anatomical shape variations of wrist bones on kinematic parameter extraction in CT scans

Four-Dimensional Computed Tomography (4DCT) shows promise in diagnosing wrist pathologies such as sc...

A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnostics

Distinguishing cell types in peripheral blood smears is critical for diagnosing blood diseases, such...

Sentiment analysis of employees and COVID-19 vaccine hesitancy at workplace

Vaccination is a potent means to combat the spread of infectious disease epidemics or pandemics, suc...

Establishment of in silico prediction of adjuvant chemotherapy response from active mitotic gene signature in non-small cell lung cancer

Conventional chemotherapeutics exploit cancer’s hallmark of active cell cycling, primarily targeting...

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