Latest AI and machine learning research in genetics for healthcare professionals.
Artificially synthesized DNA holds significant promise in addressing fundamental biochemical questio...
OBJECTIVES: To construct a prediction model based on deep learning (DL) and radiomics features of di...
BACKGROUND: Dabigatran etexilate (DABE), a prodrug of dabigatran (DAB), is a direct thrombin inhibit...
With the development of deep learning (DL) techniques, there has been a successful application of th...
Mannheimia haemolytica is one of the most common causative agents of bovine respiratory disease (BRD...
Inferring the ancestral origin of DNA evidence recovered from crime scenes is crucial in forensic in...
Peanut is a vital source of protein, particularly in the tropical regions of Asian and African count...
BACKGROUND: The vitamin D pathway contributes to the microbicidal activity of macrophages against i...
The emergence of infectious disease and antibiotic resistance in bacteria like Escherichia coli (E. ...
Fabry disease (FD) is a rare disorder resulting from a genetic mutation characterized by the accumul...
Small proteins (≤100 amino acids) play important roles across all life forms, ranging from unicellul...
Enhanced sampling (ES) simulations of biomolecular recognition, such as binding small molecules to p...
Machine learning (ML) is a powerful tool for the automated data analysis of molecular dynamics (MD) ...
In the present scenario, cancerous tumours are common in humans due to major changes in nearby envir...
BACKGROUND: Alzheimer's disease (AD) is a complex neurodegenerative disorder with a largely unexplor...
Gene regulatory networks (GRNs) are crucial for understanding gene regulation and cellular processes...
In the domain of histopathology analysis, existing representation learning methods for biomarkers pr...
Drug combination therapy is crucial in cancer treatment, but accurately predicting drug synergy rema...
Maternal nutritional status plays a crucial role in embryonic development and has persistent effects...
Recent advancements in deep learning, particularly large language models (LLMs), made a significant ...
BACKGROUND: Emerging evidence underscores the comorbidity mechanisms among autoimmune diseases (AIDs...