Latest AI and machine learning research in leukemia for healthcare professionals.
PURPOSE: The aim of the study was to develop and validate a deep learning radiomic nomogram (DLRN) f...
Disease relapse is the greatest cause of treatment failure in paediatric B-cell acute lymphoblastic ...
Insights into the fascinating molecular world of biological processes are crucial for understanding ...
The mammalian spatial navigation system is characterized by an initial divergence of internal repres...
INTRODUCTION: The aim of this study is to compare productivity of the KIRO Oncology compounding robo...
Philadelphia chromosome-negative myeloproliferative neoplasms (Ph-negative MPNs) such as polycythemi...
Machine learning promises to assist physicians with predictions of mortality and of other future cli...
Immunotherapy is a research area with great potential in drug discovery for cancer treatment. Becaus...
BACKGROUND AND OBJECTIVE: The classification of human peripheral blood cells yields significance in ...
We hypothesized that imaging-only-based machine learning algorithms can analyze non-enhanced CT scan...
Rapid detection of food-borne pathogens in early food contamination is a permanent topic to ensure f...
In this work, we aim to address the problem of human interaction recognition in videos by exploring ...
Computed tomography (CT) provides information for diagnosis, PET attenuation correction (AC), and ra...
Aging is a multifactorial process that involves numerous genetic changes, so identifying anti-aging ...
PURPOSE: Radiomics is a specific field of medical research that uses programmable recognition tools ...
Machine Learning research applied to the medical field is increasing. However, few of the proposed a...
We here propose a new method of combining a mathematical model that describes a chemotherapy treatme...
Improving global health requires making current and future drugs more effective and affordable. Whi...
The Pediatric Acute Liver Failure (PALF) study is a multicenter, observational cohort study of infan...
Rheumatoid arthritis (RA) is an autoimmune disorder that typically affects people between 23 and 60Â ...
The analysis of single-cell genomics data presents several statistical challenges, and extensive eff...