Publications by authors named "R Laila Ahsan"

Microbial eukaryotes (aka protists) are known for their important roles in nutrient cycling across different ecosystems. However, the composition and function of protist-associated microbiomes remains largely elusive. Here, we employ cultivation-independent single-cell isolation and genome-resolved metagenomics to provide detailed insights into underexplored microbiomes and viromes of over 100 currently uncultivable ciliates and amoebae isolated from diverse environments.

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Eczema is also known as atopic dermatitis, which goes on to affect the skin as a chronic inflammatory disease. It is associated with a constant feeling of scratchiness, erthyma and disruption of the natural skin barrier. Treatment provided at present may improve some of the symptoms, for instance use of corticosteroids or immunosuppressive agents, however, there is an overwhelming need for better focused and effective methods of treatment with minimal adverse effects.

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Article Synopsis
  • Ciliates serve as important models for understanding unique genome structures due to their dual nuclear system, consisting of somatic macronuclei (MAC) and germline micronuclei (MIC), formed after sexual reproduction through conjugation.
  • The study focuses on a specific non-model ciliate genus within the Class Phyllopharyngea, using advanced techniques like DAPI staining and fluorescence in situ hybridization (FISH) to analyze nuclear architecture and genome dynamics.
  • Results indicate distinct differences in MAC developmental stages compared to other ciliate species, contributing valuable insights into nuclear development and genome evolution among non-model ciliates.
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Article Synopsis
  • The text discusses a newly developed workflow for phylogenomic analyses of microbial eukaryotes using single-cell RNA sequencing, aimed at overcoming challenges related to genome complexity and non-target sequences.
  • The researchers tested the workflow on transcriptomes from the Oligotrichea group of marine ciliates, comparing their results with traditional ribosomal RNA analyses and examining phylogenomic approaches using both single-copy and multi-copy genes.
  • Overall, the study found that their workflow, particularly the use of the Asteroid method, yielded consistent and well-supported phylogenetic relationships, making it adaptable for studying other uncultivable microbial eukaryotes.
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Objective: Occupational and environmental medicine (OEM) clinicians require specialized electronic health records (EHRs) to address the privacy, data governance, interoperability, and medical surveillance concerns that are specific to occupational health.

Methods: The American College of Occupational and Environmental Medicine (ACOEM) Section of Health Informatics evaluated clinical workflow concerns, assessed health information requirements, and developed informatics recommendations through iterative consultation with ACOEM members.

Results: The ACOEM presents 10 recommendations that specialized occupational EHR systems (OEHRs) should meet to serve the information needs and practice requirements of OEM clinicians.

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Synopsis of recent research by authors named "R Laila Ahsan"

  • - R Laila Ahsan's recent research focuses on innovative applications of technology in health and biological sciences, including the design of specialized electronic health records, advanced deep learning algorithms for medical diagnostics, and computational architectures for data processing.
  • - Key findings include the establishment of ten recommendations for Occupational Electronic Health Records (OEHRs) to better serve Occupational and Environmental Medicine clinicians, and the exploration of the effectiveness of various deep learning models (Faster R-CNN, YOLO, SSD) in brain tumor detection and segmentation.
  • - Additional contributions highlight the development of bacterial histidine kinase inhibitors to combat antibiotic resistance and investigations into the phylogeny and species delimitation of ciliates, underscoring the diversity and complexity within microbial ecosystems.