Latest AI and machine learning research in leukemia for healthcare professionals.
This aim of this research was to explore the evaluation and prediction value of diffusion-weighted i...
Background Preexisting indexes for predicting the prognosis of chronic obstructive pulmonary disease...
Background and Objective Evaluation of AI-based decision support systems (AI-DSS) is of critical imp...
Among all the PTMs, the protein phosphorylation is pivotal for various pathological and physiologica...
To deliver more therapeutics to more patients more quickly and economically is the ultimate goal of ...
T cell acute lymphoblastic leukemia (T-ALL) is invasive and heterogeneous, and existing therapies ar...
As part of the ongoing bacterial-phage arms race, CRISPR-Cas systems in bacteria clear invading phag...
High-throughput single-cell RNA sequencing (scRNA-seq) is a popular method, but it is accompanied by...
Human-centric biomedical diagnosis (HCBD) becomes a hot research topic in the healthcare sector, whi...
The public health system is extremely dependent on the use of vaccines to immunize the population fr...
BACKGROUND AND OBJECTIVE: Adjuvant chemotherapy is recommended as standard treatment for colorectal ...
Computer tomography texture analysis (CTTA) based on the V-Net convolutional neural network (CNN) al...
Understanding cell behaviors can provide new knowledge on the development of different pathologies. ...
Computer-assisted surgery (CAS) allows clinicians to personalize treatments and surgical interventio...
This study aimed to develop a supervised deep learning (DL) model for grading collateral status from...
Mortality in the type II diabetic elderly population can sometimes be prevented through intervention...
The aim of the study described here was to investigate the value of different machine learning model...
Recently, deep-learning-based feature extraction (FE) methods have shown great potential in hyperspe...
Recently, bioinformatics and computational biology-enabled applications such as gene expression anal...
Immunotherapy using immune checkpoint modulators has revolutionized the oncology field, emerging as ...
This study was aimed to discuss the effectiveness and safety of deep learning-based computed tomogra...