Latest AI and machine learning research in covid-19 for healthcare professionals.
BACKGROUND: Machine learning algorithms are essential for predicting severe outcomes during public h...
Characterization of breast parenchyma in dynamic contrast-enhanced magnetic resonance imaging (DCE-M...
The purpose of this study was to evaluate the performance of convolutional neural network (CNN)-base...
Atherosclerosis (AS) is a predominant etiological factor in numerous cardiovascular diseases, with i...
OBJECTIVE: Medical laboratory testing is essential in healthcare, providing crucial data for diagnos...
Subvisible particle count is a biotherapeutics stability indicator widely used by pharmaceutical ind...
OBJECTIVES: COVID-19 is one of the recent major epidemics, which accelerates its mortality and preva...
BACKGROUND: The I-SPY 2 trial is a national-wide, multi-institutional clinical trial designed to eva...
BACKGROUND: Precise evaluation of pathological complete response (pCR) is essential for determining ...
This study aims at improving the lower-limb muscle segmentation accuracy of deep learning approaches...
The generation of depth images of occlusal dental crowns is complicated by the need for customizatio...
Major depressive disorder (MDD) is a complex condition characterized by persistent depressed mood, ...
The optimum control methods for the epidemiology of the COVID-19 model are acknowledged using a nove...
Therapeutic antibodies are at the forefront of biotherapeutics, valued for their high target specifi...
INTRODUCTION: Lutetium-177 (Lu-177) prostate-specific membrane antigen (PSMA) therapy is a radionucl...
Accurate prediction of epidemics is pivotal for making well-informed decisions for the control of in...
BACKGROUNDS: During the Coronavirus Disease 2019 (COVID-19) epidemic, the massive spread of the dise...
Identifying epitopes, or the segments of a protein that bind to antibodies, is critical for the deve...
In this study, we introduce MGA-Net, a novel mask-guided attention neural network, which extends the...
To develop and evaluate a 3D Prompt-ResUNet module that utilized the prompt-based model combined wit...
Computational models have made significant progress in predicting the effect of protein variants. Ho...