Latest AI and machine learning research in covid-19 for healthcare professionals.
Learning a generalizable medical image segmentation model is an important but challenging task since...
This study investigated the added value of using maximum-intensity projection (MIP) images for fully...
Predicting the evolutionary patterns of emerging and endemic viruses is key for mitigating their spr...
AI is emerging as a promising tool for diagnosing COVID-19 based on chest CT scans. The aim of this ...
Liquid biopsy offers a minimally invasive method for detecting and monitoring cancer, with key bioma...
This study looked at possible targets for hypertrophic cardiomyopathy (HCM), a condition marked by t...
BACKGROUND: Detecting pathological complete response (pCR) preoperatively facilitated a non-surgical...
Prediction of severe disease (SVD) in patients with coronavirus disease (COVID-19) pneumonia at an e...
BACKGROUND: India is home to about 42 million people with β-thalassemia trait (βTT) necessitating sc...
PURPOSE: Anti-PD-1 antibodies are widely used for cancer treatment, including in advanced renal cell...
INTRODUCTION: Machine learning models have been employed to predict COVID-19 infections and mortalit...
U-Net is a commonly used model for medical image segmentation. However, when applied to chest X-ray ...
BACKGROUND: Pathologic complete response (pCR) following neoadjuvant chemotherapy (NACT) is a critic...
Variants of Uncertain Significance (VUS) in genetic testing for hereditary diseases burden patients ...
Pine wilt disease caused by the pine wood nematode, , has profound implications for global forestry ...
Carcinoembryonic antigen (CEA) is used as a biomarker for colorectal cancer. It is expressed during ...
As a newly discovered histone modification, abnormal lactation has been found to be present in and c...
The right classification of variants is the key to pre-symptomatic detection of disease and conducti...
As the largest secondary lymphoid organ, the spleen plays a crucial role in initiating and sustainin...
Burst suppression (BS) is an electroencephalogram (EEG) pattern observed in patients undergoing gene...
We explored effects of (1) training with various sample sizes of multi-site vs. single-site training...