Latest AI and machine learning research in leukemia for healthcare professionals.
In this paper, we demonstrate the feasibility and performance of deep residual neural networks for v...
BACKGROUND The correct interpretation of the ECG is pivotal for the accurate diagnosis of many cardi...
We describe a novel method to achieve a universal, massive, and fully automated analysis of cell mot...
The purpose of this study was to assess, by analyzing features of the primary tumor with F-FDG PET,...
BACKGROUND: COPD is a leading cause of mortality.
Medical error is a leading cause of patient death in the United States. Among the different types of...
In cell-based research, the process of visually monitoring cells generates large image datasets that...
The therapeutic concept of unleashing a pre-existing immune response against the tumor by the applic...
OBJECTIVE: The purpose of this study was to correlate potential the stabilometric parameters of baro...
Flow cytometry nowadays is among the main working instruments in modern biology paving the way for c...
Unsupervised machine learning that can discover novel knowledge from big sequence data without prior...
Chronic diseases represent a serious threat to public health across the world. It is estimated at ab...
Determining the number of factors is one of the most crucial decisions a researcher has to face when...
BACKGROUND: Epithelial neoplasms of the scalp account for approximately 2% of all skin cancers and f...
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer. While there are a number of ...
There is currently no effective treatment for acute myeloid leukemia, and surgery is also ineffectiv...
The aim of this study is to explore the feasibility of using machine learning (ML) technology to pre...
White Blood Cell (WBC) Leukaemia is caused by excessive production of leukocytes in the bone marrow,...
Acute lymphoblastic leukemia (ALL) is a pervasive pediatric white blood cell cancer across the globe...
Single-cell dispensing for automated cell isolation of individual cells has gained increased attenti...
Machine learning and deep learning methods aims to discover patterns out of datasets such as, microa...