Latest AI and machine learning research in hematology for healthcare professionals.
Anoikis-related genes (ANRGs) are crucial in the invasion and metastasis of breast cancer (BC). The...
Gravity, an invisible but constant force , challenges the regulation of blood pressure when transiti...
PURPOSE: Timely identification of intracranial blood products is clinically impactful, however the d...
BACKGROUND: The differential diagnosis between iron deficiency anemia (IDA) and thalassemia trait (T...
BACKGROUND: Differential counting (DC) of different cell types in bone marrow (BM) aspiration smears...
The accuracy of screening diabetes from non-diabetes is drastically enhanced by strategically upgrad...
Sorting specific cells from heterogeneous samples is important for research and clinical application...
Patients with end-stage kidney disease (ESKD) frequently experience anemia, and maintaining hemoglob...
Viruses are widely recognized to be intricately associated with both solid and hematological maligna...
In case-control single-cell RNA-seq studies, sample-level labels are transferred onto individual cel...
This study aimed to construct a high-performance prediction and diagnosis model for type 2 diabetic ...
In this study, we aimed to identify an essential blood molecular signature for chacterizing the prog...
This work reports an efficient method to detect SARS-CoV-2 antibodies in blood samples based on SERS...
BACKGROUND: Early detection and intervention are crucial for preventing vision-threatening diabetic ...
There is limited evidence that heavy metals exposure contributes to osteoporosis. Multi-parameter sc...
Cerebrovascular image segmentation is one of the crucial tasks in the field of biomedical image proc...
BACKGROUND: This study aimed to develop a machine learning classifier for predicting intraoperative ...
Radiologists utilize pictures from X-rays, magnetic resonance imaging, or computed tomography scans ...
Lung cancer continues to be the leading cause of cancer-related mortality worldwide. Early detection...
Accurate detection of cardiovascular drugs in blood is complicated by interference from serum biomol...
This study develops regression models for predicting blood biochemical data using Fourier-transform ...