Latest AI and machine learning research in infectious disease for healthcare professionals.
Nanopore sequencers can enrich or deplete the targeted DNA molecules in a library by reversing the voltage across individual nanopores. However, it requires substantial computational resources to achieve rapid operations in parallel at read-time sequencing. We present a deep learning framework, NanoDeep, to overcome these limitations by incorporating convolutional neural network and squeeze and ex...
Despite recent methodology advancements in clinical natural language processing (NLP), the adoption of clinical NLP models within the translational research community remains hindered by process heterogeneity and human factor variations. Concurrently, these factors also dramatically increase the difficulty in developing NLP models in multi-site settings, which is necessary for algorithm robustness...
Computational approaches are emerging as powerful tools for the discovery of antibiotics. A study now uses machine learning to discover abaucin, a pot...
MOTIVATION: The rapid and extensive transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to an unprecedented globa...
MOTIVATION: Antibiotic resistance presents a formidable global challenge to public health and the environment. While considerable endeavors have been ...
Scutellaria sibthorpii is used in treatment of bacterial infections, pains and inflammations. The leaf was extracted by maceration and then partitione...
Iron oxide nanoparticles (FeO NPs) stabilized with Moringa oleifera (M.O.) were successfully synthesized. The study aimed to explore the cytotoxic, an...
: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associated acute respiratory distress syndrome (ARDS). : Th...
Transcriptomic data is accumulating rapidly; thus, scalable methods for extracting knowledge from this data are critical. Here, we assembled a top-dow...
BACKGROUND: Machine learning (ML) and artificial intelligence (AI) techniques are gaining popularity as effective tools for coronavirus disease of 201...
Fungal infections have become a significant global health issue, affecting millions worldwide. Antifungal peptides (AFPs) have emerged as a promising ...
Risk models play a crucial role in disease prevention, particularly in intensive care units (ICUs). Diseases often have complex manifestations with he...
BACKGROUND: Vitamin D plays crucial roles in immune cell function, including macrophage activation, immune response modulation, and antimicrobial pept...
The principal use of mass cytometry is to identify distinct cell types and changes in their composition, phenotype and function in different samples a...
SUMMARY: We present an interactive Deep Learning-based software tool for Unsupervised Clustering of DNA Sequences (iDeLUCS), that detects genomic sign...
BACKGROUND AND PURPOSE: is a multidrug-resistant yeast that rapidly spreads, making it the leading Candidate for the next pandemic. One main leading ...
BACKGROUND AND PURPOSE: Regarding the wide-spectrum antimicrobial effects of curcumin and silver, this study aimed to evaluate the antifungal activity...
Clinical manifestations related to hypomagnesemia and/or deficiency of vitamin D are frequent in patients with an extended course of coronavirus disea...
OBJECTIVES: Maintenance hemodialysis (MHD) patients are at increased risk of contracting coronavirus disease 2019 (COVID-19). Vaccine against COVID-19...
BACKGROUND: Although many drug regimens have been used in the treatment of human immunodeficiency virus (HIV) infection, the National AIDS Control Org...