Latest AI and machine learning research in lymphoma for healthcare professionals.
OBJECTIVE: To explore the value of radiomics features on non-contrast computed tomography (NCCT) in ...
This paper deals with the non-fragile state estimation problem for a class of fractional-order memri...
This study aimed to model and optimize pyrene removal from the soil contaminated by sorghum bicolor ...
Bushfires are becoming more frequent and intensive due to changing climate. Those that occur close t...
BACKGROUND: Identification of functional non-coding variants and their mechanistic interpretation is...
Accurately modeling cellular response to perturbations is a central goal of computational biology. W...
BACKGROUND: Non-contact heart rate (HR) and respiratory rate (RR) monitoring is necessary for preter...
Efficient identification of chemical probes for the manipulation and understanding of biological sys...
Identification of disease-associated miRNAs (disease miRNAs) are critical for understanding etiology...
BACKGROUND: Current self-calibration and reconstruction methods for wave-encoded single-shot fast sp...
Non-O157 Shiga toxin-producing Escherichia coli (STEC) serogroups such as O26, O45, O103, O111, O121...
OBJECTIVE: Lipid peroxidation constitutes a molecular mechanism involved in early Alzheimer Disease ...
BACKGROUND: Clinical balance assessments often rely on functional tasks as a proxy for balance (e.g....
Non-uniform and sparse sampling of multi-dimensional NMR spectra has over the last decade become an ...
: Accurate lymph node (LN) status evaluation for intrahepatic cholangiocarcinoma (ICC) patients is e...
PURPOSE: To develop and validate a classifier system for prediction of prostate cancer (PCa) Gleason...
OBJECTIVE: Electronic health record (EHR) systems contain structured data (such as diagnostic codes)...
Application of kinetic modeling (KM) on a voxel level in dynamic PET images frequently suffers from ...
State Visual Evoked Potentials (SSVEPs) arise from a resonance phenomenon in the visual cortex that ...
BACKGROUND: Selecting optimal stimulation parameters from numerous possibilities is a major obstacle...
OBJECTIVES: Extracting genetic information from a full range of sequencing data is important for und...