Publications by authors named "A L Gorman"
Motivation: Analysis of gene and isoform expression levels is becoming critical for the detailed understanding of biochemical mechanisms. In addition, integrating RNA-seq data with other omics data types, such as proteomics and metabolomics, provides a strong approach for consolidating our understanding of biological processes across various organizational tiers, thus promoting the identification of potential therapeutic targets.
Results: We present our pipeline, called MultiOmicsIntegrator (MOI), an inclusive pipeline for comprehensive omics analyses.
We present ATLAS, a 512 × 512 single-photon avalanche diode (SPAD) array with embedded autocorrelation computation, implemented in 3D-stacked CMOS technology, suitable for single-photon correlation spectroscopy applications, including diffuse correlation spectroscopy (DCS). The shared per-macropixel SRAM architecture provides a 128 × 128 macropixel resolution, with parallel autocorrelation computation, with a minimum autocorrelation lag-time of 1 µs. We demonstrate the direct, on-chip computation of the autocorrelation function of the sensor, and its capability to resolve changes in decorrelation times typical of body tissue in real time, at long source-detector separations similar to those achieved by the current leading optical modalities for cerebral blood flow monitoring.
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- The study aims to evaluate different methods for estimating undocumented immigrant populations in electronic health records (EHRs) to better understand their medical needs and care utilization, acknowledging the biases inherent in these methods.
- Using emergency department visit data from Los Angeles (2016-2019), researchers categorized patients into US-born, foreign-born documented, and undocumented groups, applying two methods to estimate immigration status and assess outcomes related to behavioral health.
- Findings suggest that while both estimation methods yield similar results, undocumented immigrants in the study are less frequently diagnosed with behavioral health disorders and less likely to be admitted or transferred compared to US-born patients, highlighting the need for improved data sources for understanding undocumented populations.
Background: Medication data are a valuable resource in epidemiological studies. As the most common data collection method of medication data is self-report, it is important to understand the accuracy of this in comparison with other methods such as dispensing records. The aim of this study was to compare the agreement between two different sources of medication data of older adults with intellectual disability (ID).
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