Latest AI and machine learning research in hematology for healthcare professionals.
The remarkable success of the autoregressive paradigm has made significant advancement in Multimod...
Venous thromboembolic events (VTE) is a frequent complication in multiple myeloma (MM) patients, rai...
Hematological malignancy is a highly heterogeneous disease with complex biological characteristics a...
Although the SARS-CoV-2 infection has established risk groups, identifying biomarkers for disease ou...
White blood cells (WBC) are important parts of our immune system, and they protect our body agains...
The generation of a virtual digital avatar is a crucial research topic in the field of computer vi...
Heat-based cancer treatment, so-called hyperthermia, can be used to destroy tumour cells directly ...
The dose-response relationship between metformin and change in hemoglobin A1c (HbA1c) shows a maximu...
Premature coronary artery disease (PCAD) refers to the early onset of the disease, usually before ...
BACKGROUND: Transjugular intrahepatic portosystemic shunt (TIPS) is an effective intervention for ma...
State Space Models (SSMs) have emerged as efficient alternatives to Transformers for sequential mo...
In this paper, we present a human-based computation approach for the analysis of peripheral blood ...
Predicting the impact of single-point amino acid mutations on protein stability is essential for u...
Intracerebral hemorrhage (ICH) is a life-risking condition characterized by bleeding within the br...
PURPOSE: The purpose of this study was to develop and validate a deep-learning model for noninvasive...
Stroke is a leading cause of disability and death due to the brain’s limited ability to regenerate d...
Dried blood spots (DBS) represent a convenient clinical sample material, offering low infection risk...
The application of transfer learning models to large scale single-cell datasets has enabled the deve...
Single-cell sequencing has revolutionized our understanding of cellular heterogeneity and responses ...
Despite increased understanding of psoriasis pathogenesis, molecular classification of clinical phen...
Cancer subtype classification is critical for precision therapy and there is a growing trend of augm...