Latest AI and machine learning research in covid-19 for healthcare professionals.
Multiplex PCR plays a critical role in diagnostics by enabling the detection of multiple targets in ...
MOTIVATION: Accurate prediction of single-guide RNA (sgRNA) activity is crucial for optimizing the C...
To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracrani...
BACKGROUND: The lack of reliable biomarkers for the early detection and risk stratification of post-...
This paper presents a hybrid model based on deep learning for the detection and instance segmentatio...
Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and...
Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respir...
The universal demand for the development and deployment of responsive medical infrastructure and dam...
Artificial intelligence (AI) has emerged as a transformative tool in ophthalmology for disease diagn...
Acute myocardial infarction (AMI) poses a significant global mortality burden. Utilizing bio informa...
Segmenting abnormalities is a leading problem in medical imaging. Using machine learning for segment...
Cattle health monitoring and management systems are essential for farmers and veterinarians, as trad...
With increasing awareness of healthy living and social pressure, more and more people have begun to ...
Mitochondria play a crucial role in cellular respiration and immune responses. Mitochondrial DNA (mt...
Here we propose CovSF, a deep learning model designed to track and forecast short-term severity prog...
BACKGROUND: Investigating the functional impact of genomic variants is essential to uncover the mole...
Monitoring biomarkers offers insights for early disease (e.g., cancer, chronic diseases) screening, ...
BACKGROUND: Antimicrobial peptides (AMPs) are peptides produced by organisms during the evolutionary...
Antibodies are crucial for medical applications, yet traditional methods for designing sequences are...
Deep neural networks often suffer from poor generalization due to complex and non-convex loss landsc...
Antibody-drug conjugates (ADCs) represent a powerful therapeutic approach for the treatment of a ran...