Publications by authors named "Geetha Saarunya"
Article Synopsis
- Anesthesiology significantly influences patient care and outcomes, yet there's a lack of insights into current research trends in the field.
- A data-driven analysis using over 32,000 PubMed abstracts helped identify key topics and time-based trends within anesthesiology research from 2000 to 2022.
- Findings revealed eight main research areas, trends in specific topics like "Cells & Proteomics" and "Pulmonology," and highlighted rising interests in "Aneurysms," "Covid 19," and "Artificial Intelligence."
Article Synopsis
- Stanford Health Care serves around 9 million people and has seen significant changes after opening a second hospital in late 2019 and the impact of the COVID-19 pandemic.
- There was a notable increase in both laboratory tests (45%) and anatomic pathology (AP) cases (17%) following the pandemic, linked to a rise in hospital census driven by more emergency department admissions and longer patient stays.
- The hospital reached overcapacity levels of 103% for AP cases and 114% for lab tests, leading to challenges in performing clinical activities, especially surgical procedures, prompting recommendations for improved operational efficiency in the post-pandemic landscape.
Advanced measurement and data storage technologies have enabled high-dimensional profiling of complex biological systems. For this, modern multiomics studies regularly produce datasets with hundreds of thousands of measurements per sample, enabling a new era of precision medicine. Correlation analysis is an important first step to gain deeper insights into the coordination and underlying processes of such complex systems.
View Article and Find Full Text PDFPreterm birth (PTB) is the leading cause of infant mortality globally. Research has focused on developing predictive models for PTB without prioritizing cost-effective interventions. Physical activity and sleep present unique opportunities for interventions in low- and middle-income populations (LMICs).
View Article and Find Full Text PDFUnlabelled: Psychosocial and stress-related factors (PSFs), defined as internal or external stimuli that induce biological changes, are potentially modifiable factors and accessible targets for interventions that are associated with adverse pregnancy outcomes (APOs). Although individual APOs have been shown to be connected to PSFs, they are biologically interconnected, relatively infrequent, and therefore challenging to model. In this context, multi-task machine learning (MML) is an ideal tool for exploring the interconnectedness of APOs on the one hand and building on joint combinatorial outcomes to increase predictive power on the other hand.
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- The study investigates the role of the IscR transcription factor in the virulence of Yersinia pseudotuberculosis, focusing on how it responds to iron depletion during infection.
- Researchers utilized ChIP-Seq and RNA-Seq to identify genes regulated by IscR, discovering its regulation of genes linked to iron homeostasis, reactive oxygen species management, and the type III secretion system (T3SS).
- Results showed that IscR helps bacteria adapt to iron-restricted environments in the host by regulating multiple pathways critical for survival and virulence, implying that IscR's functions are conserved even in closely related pathogens like Yersinia pestis.
Regional Student Groups (RSGs) of the International Society for Computational Biology Student Council (ISCB-SC) have been instrumental to connect computational biologists globally and to create more awareness about bioinformatics education. This article highlights the initiatives carried out by the RSGs both nationally and internationally to strengthen the present and future of the bioinformatics community. Moreover, we discuss the future directions the organization will take and the challenges to advance further in the ISCB-SC main mission: "Nurture the new generation of computational biologists".
View Article and Find Full Text PDFThe total community genomic DNA (gDNA) from permafrost was extracted using four commercial DNA extraction kits. The gDNAs were compared using quantitative real-time PCR (qPCR) targeting 16S rRNA genes and bacterial diversity analyses obtained via 454 pyrosequencing of the 16S rRNA (V3 region) amplified in single or nested PCR. The FastDNA(®) SPIN (FDS) Kit provided the highest gDNA yields and 16S rRNA gene concentrations, followed by MoBio PowerSoil(®) (PS) and MoBio PowerLyzer™ (PL) kits.
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