Latest AI and machine learning research in leukemia for healthcare professionals.
AI is undeniably revolutionizing medical research and patient care across diverse fields. Chronic di...
Evidence from clinical and experimental investigations reveals the role of AKT in oral cancer, which...
Immune therapy for cancer patients is a new and promising area that in the future may complement tra...
Cells detect changes in their external environments or communicate with each other through proteins ...
BACKGROUND: In recent years, researchers have explored the use of radiomics to predict neoadjuvant c...
BACKGROUND: Various patient support programs exist to provide successful therapy options for patient...
Mitogen-activated protein kinases (MAPK) activate cascades that regulate cell proliferation, differe...
Aldehyde dehydrogenase 1A1 (ALDH1A1) is an isoenzyme that catalyzes the conversion of aldehydes to a...
Breast cancer, which is the most common type of malignant tumor among humans, is a leading cause of ...
Engineering immune cells to treat hematological malignancies has been a major focus of research sinc...
One of the cost-effective alternative methods to find new inhibitors has been the repositioning appr...
A primary challenge of high-throughput imaging flow cytometry (IFC) is to analyze the vast amount of...
Receptor-interacting serine/threonine-protein kinase 1 (RIPK1) plays a crucial role in inflammation ...
Accurate and efficient classification and quantification of CD34+ cells are essential for the diagno...
Liver transplantation is a life-saving procedure for patients with end-stage liver disease. There ar...
One of the most cancers in women that can be fatal is breast cancer. Radiation therapy, chemotherapy...
RATIONALE AND OBJECTIVES: To develop and validate a radiogenomics model integrating clinical data, r...
BACKGROUND: Invasive breast cancer patients are increasingly being treated with neoadjuvant chemothe...
Comprehensive analysis of tissue cell type composition using microscopic techniques has primarily be...
We developed a high-content image-based screen that utilizes the pro-inflammatory stimulus lipopolys...
BACKGROUND: We aimed to construct and validate a deep learning (DL) radiomics nomogram using baselin...