Hematology

Leukemia

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

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Learning Universal Representations of Intermolecular Interactions with ATOMICA

Molecular interactions underlie nearly all biological processes, but many representation learning mo...

Personalized Cell Segmentation: Benchmark and Framework for Reference-Guided Cell Type Segmentation

Accurate cell segmentation is critical for biological and medical imaging studies. Although recent d...

Rational Design of Selective IL-2-based Activators for CAR T Cells Using AlphaFold3 and Physics-Informed Machine Learning

Recombinant human Interleukin-2 (rhIL-2, Aldesleukin) is used in immunotherapy for metastatic melano...

DeepHistoViT: An Interpretable Vision Transformer Framework for Histopathological Cancer Classification

Histopathology remains the gold standard for cancer diagnosis because it provides detailed cellular-...

Identification and Developmental Analysis of the Facial Characteristics Associated with Sickle Cell Disease using Machine Learning

Background Sickle cell disease (SCD) is a common inherited genetic disorder and contributor to globa...

Deep Learning Enabled 3D Multi-Omic Analysis Reveals Molecular Signatures of Heterogeneous Response to Chemotherapy in Pancreatic Cancer

Resistance to systemic therapy is a major unmet challenge in pancreatic cancer. To identify potentia...

A Resolution-Agnostic Geometric Transformer for Chromosome Modeling Using Inertial Frame

Chromosomes are the carriers of genetic information. Further understanding their 3D structure can he...

LLMsFold: Integrating Large Language Models and Biophysical Simulations for De Novo Drug Design

The discovery of novel small molecules is challenging because of the vastness of chemical space and ...

Likelihood-Free Parameter Inference for Spatiotemporal Stochastic Biological Models using Neural Posterior Estimation

Cell migration is a key biological process underlying wound healing, tissue development, and cancer ...

Transcriptomic profiling of mouse mammary tumors enables prognostic and predictive biomarker discovery for human breast cancers

The development and validation of prognostic and predictive biomarkers in breast cancer is limited b...

Temporal dynamics of radiotherapy and chemotherapy response in lower-grade gliomas using causal machine learning

Lower-grade gliomas (World Health Organization [WHO] grades 2-3) exhibit variable treatment response...

Robust White Blood Cell Classification with Stain-Normalized Decoupled Learning and Ensembling

White blood cell (WBC) classification is fundamental for hematology applications such as infection a...

AMLRIS: Alignment-aware Masked Learning for Referring Image Segmentation

Referring Image Segmentation (RIS) aims to segment an object in an image identified by a natural lan...

CellAwareGNN: Single-Cell Enhanced Knowledge Graph Foundation Model for Drug Indication Prediction

Graph foundation models have emerged as powerful tools for drug repurposing by enabling the predicti...

Accelerated sampling of protein dynamics using BioEmu augmented molecular simulation

We introduce a workflow that integrates BioEmu-generated conformational ensemble with physics-based ...

Development and cross-tissue validation of a methylation profile score for the cortisol response to stress

Hypothalamic-pituitary-adrenal axis (HPA axis) dysregulation is a risk factor for poor mental and ph...

A visualization framework for cell division activity and orientation in pre-anthesis ovaries of Prunus species

Fruit size and shape, which influence horticultural quality, are determined by the number and the si...

Systematic Evaluation of Transfer Learning Strategies for Clinical Chemotherapy Response Prediction

Accurately predicting chemotherapy response remains a major challenge in precision oncology. Althoug...

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