David Carlson
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View article: Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research
Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research Open
Machine learning (ML) is transforming atmospheric chemistry, offering powerful tools to address challenges in tropospheric ozone research, a critical area for climate resilience and public health. As in adjacent fields, ML approaches compl…
View article: CD4+ mucosal-associated invariant T cells express highly diverse T cell receptors
CD4+ mucosal-associated invariant T cells express highly diverse T cell receptors Open
Mucosal-associated invariant T (MAIT) cells are highly conserved innate-like T cells in mammals recognized for their high baseline frequency in human blood and cytotoxic effector functions during infectious diseases, autoimmunity, and canc…
View article: Sleep-Wake States Are Encoded across Emotion Regulation Regions of the Mouse Brain
Sleep-Wake States Are Encoded across Emotion Regulation Regions of the Mouse Brain Open
Emotional dysregulation is highly comorbid with sleep disturbances. Sleep is composed of unique physiological states that are reflected by conserved brain oscillations. Though the role of these state-dependent oscillations in cognitive fun…
View article: Neighborhood environmental and contextual factors improve prediction of childhood body mass index: an application of novel graph neural networks
Neighborhood environmental and contextual factors improve prediction of childhood body mass index: an application of novel graph neural networks Open
Childhood obesity is a major risk factor for adult cardiovascular disease. Current obesity-prediction models were not developed in diverse populations and do not include heterogeneous social, environmental, and climate factors that may imp…
View article: Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series Open
The field of hypothesis generation promises to reduce costs in neuroscience by narrowing the range of interventional studies needed to study various phenomena. Existing machine learning methods can generate scientific hypotheses from compl…
View article: Big, noisy data: how scalable Gaussian processes can leverage personal weather stations to improve spatiotemporal coverage of urban climate networks
Big, noisy data: how scalable Gaussian processes can leverage personal weather stations to improve spatiotemporal coverage of urban climate networks Open
Urban temperature varies dramatically across space and time, yet capturing this variability requires a dense, reliable sensor network—something that is rarely available in practice. Spatiotemporal gaps in data coverage make it difficult to…
View article: Anatomical Determinants of Epilepsy Surgery Outcomes: A Systematic Review and Individual Patient Data Meta-Analysis
Anatomical Determinants of Epilepsy Surgery Outcomes: A Systematic Review and Individual Patient Data Meta-Analysis Open
Importance To date, epilepsy surgery outcomes remain highly variable, with seizure freedom rates hovering around 50-70%, highlighting the need for a deeper understanding of the factors influencing surgical success. Objective To conduct an …
View article: CD8α marks a Mycobacterium tuberculosis-reactive human NK cell population with high activation potential
CD8α marks a Mycobacterium tuberculosis-reactive human NK cell population with high activation potential Open
Natural Killer (NK) cells can recognize and kill Mycobacterium tuberculosis (Mtb)-infected cells in vitro, however their role after natural human exposure has not been well-studied. To identify Mtb-responsive NK cell populations, we analyz…
View article: Characterization of Transstadial Transmission of Rickettsia Amblyommatis in Haemaphysalis Longicornis Using Optimized Artificial Membrane Feeding System
Characterization of Transstadial Transmission of Rickettsia Amblyommatis in Haemaphysalis Longicornis Using Optimized Artificial Membrane Feeding System Open
Ticks are blood-feeding arthropods and serve as vectors and reservoirs for diverse pathogens. Recent environmental changes have triggered the invasion of ticks into new geographical areas, prompting a public health alert for increased risk…
View article: The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering<sup>*</sup>
The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering<sup>*</sup> Open
Objective. Machine learning’s (MLs) ability to capture intricate patterns makes it vital in neural engineering research. With its increasing use, ensuring the validity and reproducibility of ML methods is critical. Unfortunately, this has …
View article: CD4<sup>+</sup>Mucosal-associated Invariant T (MAIT) cells express highly diverse T cell receptors
CD4<sup>+</sup>Mucosal-associated Invariant T (MAIT) cells express highly diverse T cell receptors Open
Mucosal-associated invariant T cells are highly conserved innate-like T cells in mammals recognized for their high baseline frequency in human blood and cytotoxic effector functions during infectious diseases, autoimmunity, and cancer. Whi…
View article: P-1850. Acute <i>Babesia microti</i> Infection in Humans Is Associated With Marked Changes In The Expression Of Peripheral Blood Coding And Noncoding RNA
P-1850. Acute <i>Babesia microti</i> Infection in Humans Is Associated With Marked Changes In The Expression Of Peripheral Blood Coding And Noncoding RNA Open
Background Babesiosis is a potentially life-threatening disease transmitted by ticks. However, host and parasite determinants of human babesiosis are completely unknown. In the current study we evaluated the impact of B. microti infection,…
View article: Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research
Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research Open
Machine learning (ML) is transforming atmospheric chemistry, offering powerful tools to address challenges in tropospheric ozone research, a critical area for climate resilience and public health. As in adjacent fields, ML approaches compl…
View article: Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments
Deep Causal Inference for Point-referenced Spatial Data with Continuous Treatments Open
Causal reasoning is often challenging with spatial data, particularly when handling high-dimensional inputs. To address this, we propose a neural network (NN) based framework integrated with an approximate Gaussian process to manage spatia…
View article: Sleep-wake states are encoded across emotion-regulation regions of the mouse brain
Sleep-wake states are encoded across emotion-regulation regions of the mouse brain Open
Emotional dysregulation is highly comorbid with sleep disturbances. Sleep is comprised of unique physiological states that are reflected by conserved brain oscillations. Though the role of these state-dependent oscillations in cognitive fu…
View article: Generative Principal Component Regression via Variational Inference
Generative Principal Component Regression via Variational Inference Open
The ability to manipulate complex systems, such as the brain, to modify specific outcomes has far-reaching implications, particularly in the treatment of psychiatric disorders. One approach to designing appropriate manipulations is to targ…
View article: Use of Computer Vision Analysis for Labeling Inattention Periods in Eeg Recordings With Visual Stimuli
Use of Computer Vision Analysis for Labeling Inattention Periods in Eeg Recordings With Visual Stimuli Open
Electroencephalography (EEG) recordings with visual stimuli require detailed coding to determine the periods of participant’s attention. Here we propose to use a supervised machine learning model and off-the-shelf video cameras only. We ex…
View article: Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation Open
Traditional one-shot medical image segmentation (MIS) methods use registration networks to propagate labels from a reference atlas or rely on comprehensive sampling strategies to generate synthetic labeled data for training. However, these…
View article: Assessing the Potential of PlanetScope Satellite Imagery to Estimate Particulate Matter Oxidative Potential
Assessing the Potential of PlanetScope Satellite Imagery to Estimate Particulate Matter Oxidative Potential Open
Oxidative potential (OP), which measures particulate matter's (PM) capacity to induce oxidative stress in the lungs, is increasingly recognized as an indicator of PM toxicity. Since OP is not routinely monitored, it can be challenging to e…
View article: A widespread electrical brain network encodes anxiety in health and depressive states
A widespread electrical brain network encodes anxiety in health and depressive states Open
In rodents, anxiety is charactered by heightened vigilance during low-threat and uncertain situations. Though activity in the frontal cortex and limbic system are fundamental to supporting this internal state, the underlying network archit…
View article: Loss of circulating CD8α<sup>+</sup>NK cells during human<i>Mycobacterium tuberculosis</i>infection
Loss of circulating CD8α<sup>+</sup>NK cells during human<i>Mycobacterium tuberculosis</i>infection Open
Natural Killer (NK) cells can recognize and kill Mtb -infected cells in vitro, however their role after natural human exposure has not been well-studied. To identify Mtb -responsive NK cell populations, we analyzed the peripheral blood of …
View article: The bandgap-detuned excitation regime in photonic-crystal resonators
The bandgap-detuned excitation regime in photonic-crystal resonators Open
Control of nonlinear interactions in microresonators enhances access to classical and quantum field states across nearly limitless bandwidth. A recent innovation has been to leverage coherent scattering of the intraresonator pump as a cont…
View article: Prevalence of bias against neurodivergence‐related terms in artificial intelligence language models
Prevalence of bias against neurodivergence‐related terms in artificial intelligence language models Open
Given the increasing role of artificial intelligence (AI) in many decision‐making processes, we investigate the presence of AI bias towards terms related to a range of neurodivergent conditions, including autism, ADHD, schizophrenia, and o…