Latest AI and machine learning research in lymphoma for healthcare professionals.
Mapping the motor cortex with transcranial magnetic stimulation (TMS) has potential to interrogate m...
PURPOSE: To explore the feasibility and performance of machine learning-based radiomics classifier t...
The aim of this study is to predict acute coronary syndrome (ACS) requiring revascularization in tho...
The differential diagnosis of primary central nervous system lymphoma from glioblastoma multiforme (...
This work proposes the application of artificial neural networks (ANN) to non-destructively predict ...
Amyloid A (AA) amyloidosis is found in humans and non-human primates, but quantifying disease risk ...
We propose a novel framework for classification of mitotic v/s non-mitotic cells in a Computer Aided...
BACKGROUND: Diffuse large B-cell lymphoma (DLBCL) is classified into germinal center-like (GCB) and ...
Considering the existing issues of traditional blood pressure (BP) measurement methods and non-invas...
BACKGROUND: This study aims to perform autologous blood pleurodesis in an animal model and investiga...
Parkinson's Disease (PD) is currently the second most common neurodegenerative disease. One of the m...
BACKGROUND: Dicamba effectively controls several broadleaf weeds. The off-target drift of dicamba sp...
Monitoring plant nitrogen (N) in a timely way and accurately is critical for precision fertilization...
Multiple myeloma (MM) is a highly heterogeneous disease of malignant plasma cells. Diagnosis and mon...
P-glycoprotein (P-gp) is a transmembrane protein that actively transports a wide variety of chemical...
PURPOSE: To explore imaging biomarkers that can be used for diagnosis and prediction of pathologic s...
Accurate and reliable brain tumor segmentation is a critical component in cancer diagnosis. Accordin...
Robust and reproducible profiling of cell lines is essential for phenotypic screening assays. The go...
Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical elem...
PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiograp...
BACKGROUND: Identification of Hürthle cell cancers by non-operative fine-needle aspiration biopsy (F...