Latest AI and machine learning research in lymphoma for healthcare professionals.
In this article, we analyze the dynamics of the non-linear tumor-immune delayed (TID) model illustra...
PURPOSE: To compare the perioperative outcomes of L-RPLND, R-RPLND and O-RPLND, and determine which ...
Data-driven methods have changed the way we understand and model materials. However, while providing...
Oxidative desulfurization (ODS) of diesel fuels has received attention in recent years due to mild w...
The development of liver fibrosis as a consequence of continuous inflammation represents a turning ...
Breast ultrasound is a valuable adjunctive tool to mammography in detecting breast cancer, especiall...
Machine learning (ML) approaches have been applied in the diagnosis and prediction of haematological...
While chemicals are vital to modern society through materials, agriculture, textiles, new technology...
Recent advances in single-cell sequencing technology have made it possible to measure multiple paire...
Optical coherence tomography (OCT), an interferometric imaging technique, provides non-invasive, hig...
RATIONALE AND OBJECTIVES: To develop an end-to-end deep learning (DL) model for non-invasively predi...
Single-cell RNA sequencing (scRNAseq) enables researchers to identify and characterize populations a...
The development of cerebrovascular disease is tightly coupled to regional changes in intracranial fl...
Alzheimer's disease (AD) is now classified as a silent pandemic due to concerning current statistics...
The objective is to assess the performance of seven semiautomatic and two fully automatic segmentati...
OBJECTIVES: The objective of this study was to translate a deep learning (DL) approach for semiautom...
The homodyned-K (HK) distribution model is a generalized backscatter envelope statistical model for ...
Robot-assisted thoracic surgery (RATS) for higher stages non-small cell lung carcinoma (NSCLC) remai...
Graph Convolutional Networks (GCNs) are powerful deep learning methods for non-Euclidean structure d...
In order to treat degenerative diseases, the importance of advanced therapy medicinal products has i...
In recent times, deep learning has emerged as a great resource to help research in medical sciences....