Latest AI and machine learning research in covid-19 for healthcare professionals.
This study aims to develop a Machine Learning model to assess the risks faced by COVID-19 patients i...
In this study, a high-throughput point-of-care testing (HT-POCT) system for detecting serum iron was...
Accurate estimation of coastal and in-land water quality parameters is important for managing water ...
Prostate cancer (PCa) is a clinically heterogeneous disease. Predicting clinically significant PCa w...
Characteristics of the mandible structures have been relevant in anthropological and forensic studie...
The COVID-19 outbreak caused saturations of hospitals, highlighting the importance of early patient ...
Anoikis-related genes (ANRGs) are crucial in the invasion and metastasis of breast cancer (BC). The...
Deep learning and artificial intelligence offer promising tools for improving the accuracy and effic...
Artificial intelligence (AI) applications are becoming increasingly common in radiology. However, en...
BACKGROUND: Sequencing-based genetic testing is widely used in biomedical research, including pathog...
BACKGROUND: Clinical trials demonstrate the efficacy and tolerability of medications targeting calci...
Autism is a developmental disability. Research demonstrated that children with autism benefit from e...
This study is devoted to creating a neural network technology for assessing metal accumulation in th...
Tuberculosis disease (TB), caused by Mycobacterium tuberculosis (Mtb), is a major global public heal...
We present KnowVID-19, a knowledge-based system that assists medical researchers and scientists in e...
BACKGROUND: Antibodies play a crucial role in disease treatment, leveraging their ability to selecti...
The coronavirus disease 2019 (COVID-19) has a significant impact on the global population, particula...
Radiotherapy has been demonstrated to be one of the most significant treatments for cervical cancer,...
With greater population density, the likelihood of viral outbreaks achieving pandemic status is incr...
Foundation models pretrained on large-scale datasets via self-supervised learning demonstrate except...
Cardiovascular diseases (CVDs) are complex, multifactorial conditions that require personalized asse...