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Profil bibliographique

Alyssa F. Pybus

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

28Publications signalées
436Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Neuroinflammation and Neurodegeneration MechanismsTraumatic Brain Injury and Neurovascular DisturbancesS100 Proteins and AnnexinsAlzheimer's disease research and treatmentsCancer Immunotherapy and Biomarkers

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

A software package for simple and rigorous survival machine learning analysis in biomedical research

Alyssa F. Pybus, Junhao Qiu, Paulo C. Lyra, Khai Dang et autres

Abstract Survival analysis is a fundamental technique in biomedical research for modeling time-to-event data. It enables the identification of prognostic factors in disease, compares survival outcomes across treatment groups, and performs targeted treatment selection. A variety of machine learning (ML) approaches to …

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0 citations medRxiv
2026 conference-abstract OpenAlex

Abstract 7592: Machine learning enables accurate prediction of patient outcomes for immune checkpoint blockade using real-world clinical data.

Alyssa F. Pybus, Isis Yanina Narvaez-Bandera, Tosin Jolaogun, Paulo C. Lyra et autres

Abstract Background: While immune checkpoint blockade (ICB) therapy can produce durable clinical responses and substantially improve patient outcomes, accurate predictors of outcomes are critical as up to half of patients with advanced disease derive limited or no benefit. Accurate ICB outcome prediction …

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0 citations Cancer Research
2026 conference-abstract OpenAlex

Abstract 5476: GLEAM: Democratizing high-quality machine learning for cancer research.

Paulo C. Lyra, Junhao Qiu, Khai Dang, Alyssa F. Pybus et autres

Abstract Machine learning (ML) has revolutionized biomedical research, enabling accurate prediction from large and often high-dimensional datasets through statistical modeling and pattern recognition. Examples of ML applications include predicting patient responses to cancer therapies and classifying cancer lesions. However, the lack of …

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0 citations Cancer Research
2026 conference-abstract OpenAlex

Abstract 4227: Independent validation of the immunotherapy response model using real-world Moffitt Cancer Center cohort

Isis Yanina Narvaez-Bandera, Alyssa F. Pybus, Tosin Jolaogun, P. C. Lyra et autres

Abstract Immune checkpoint blockade (ICB) has revolutionized cancer therapy, yet many patients derive limited benefit or experience adverse effects. Thus, it becomes crucial to identify when a patient is likely to respond well to ICB treatment, thereby guiding treatment decisions and improving …

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0 citations Cancer Research
Accès ouvert 2026 article OpenAlex

Predicting anti-PD-1 immune checkpoint blockade response in melanoma patients with spatially aware machine learning models

Alyssa F. Pybus, Raphael Kirchgaessner, Mr Jonathan Nguyen, Carlos Moran Segura et autres

There is an acute need to accurately identify patients with advanced melanoma who are most likely to respond to anti-PD1 immune checkpoint blockade (ICB) therapy. While anti-PD1 therapy can be highly effective in advanced melanoma patients, only 30-40% of patients respond well. …

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2 citations npj Precision Oncology
Accès ouvert 2025 article OpenAlex

Frequency and duration of sensory flicker control transcriptional profiles in 5xFAD mice

Sara Bitarafan, Alyssa F. Pybus, Felix G. Rivera Moctezuma, Mohammad Adibi et autres

Current clinical trials are investigating gamma frequency sensory stimulation as a potential therapeutic strategy for Alzheimer's disease (AD); yet, we lack a comprehensive picture of the effects of this stimulation on multiple aspects of brain function. We previously showed that exposing mice …

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1 citation APL Bioengineering
Accès ouvert 2024 article OpenAlex

Exploring the diagnostic potential of miRNA signatures in the Fabry disease serum: A comparative study of automated and manual sample isolations

J. Fang, Saravanan Ayyadurai, Alyssa F. Pybus, Hiroshi Sugimoto et autres

Fabry disease, an X-linked lysosomal storage disorder caused by galactosidase α (GLA) gene mutations, exhibits diverse clinical manifestations, and poses significant diagnostic challenges. Early diagnosis and treatment are crucial for improved patient outcomes, pressing the need for reliable biomarkers. In this study, …

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0 citations PLoS ONE
Accès ouvert 2024 article OpenAlex

Profiling the neuroimmune cascade in 3xTg-AD mice exposed to successive mild traumatic brain injuries

Alyssa F. Pybus, Sara Bitarafan, Rowan O. Brothers, Alivia Rohrer et autres

Repetitive mild traumatic brain injuries (rmTBI) sustained within a window of vulnerability can result in long term cognitive deficits, depression, and eventual neurodegeneration associated with tau pathology, amyloid beta (Aβ) plaques, gliosis, and neuronal and functional loss. However, a comprehensive study relating …

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11 citations Journal of Neuroinflammation
Accès ouvert 2024 preprint OpenAlex

Frequency and duration of sensory flicker controls astrocyte and neuron specific transcriptional profiles in 5xFAD mice

Sara Bitarafan, Alyssa F. Pybus, Felix G. Rivera Moctezuma, Mohammad Adibi et autres

Background: Current clinical trials are investigating gamma frequency sensory stimulation as a potential therapeutic strategy for Alzheimer's disease, yet we lack a comprehensive picture of the effects of this stimulation on multiple aspects of brain function. While most prior research has focused …

us (code pays fourni par la source)

3 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2024 preprint OpenAlex

Exploring the Diagnostic Potential of miRNA Signatures in the Fabry Disease Serum: A Comparative Study of Automated and Manual Sample Isolations

J. Fang, Saravanan Ayyadurai, Alyssa F. Pybus, Hiroshi Sugimoto et autres

Abstract Fabry disease, an X-linked lysosomal storage disorder caused by galactosidase alpha (GLA) gene mutations, exhibits diverse clinical manifestations, and poses significant diagnostic challenges. Early diagnosis and treatment are crucial for improved patient outcomes, pressing the need for reliable biomarkers. In this …

jp (code pays fourni par la source)

1 citation medRxiv
Accès ouvert 2024 article OpenAlex

Voluntary exercise preserves visual function and reduces inflammatory response in an adult mouse model of autosomal dominant retinitis pigmentosa

Katie L. Bales, Austin M. Karesh, Kelleigh Hogan, Alicia S. Chacko et autres

Whole-body physical exercise has been shown to promote retinal structure and function preservation in animal models of retinal degeneration. It is currently unknown how exercise modulates retinal inflammatory responses. In this study, we investigated cytokine alterations associated with retinal neuroprotection induced by …

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5 citations Scientific Reports
Accès ouvert 2024 article OpenAlex

Integrative Analysis of Cytokine and Lipidomics Datasets Following Mild Traumatic Brain Injury in Rats

Alexis N. Pulliam, Alyssa F. Pybus, David A. Gaul, Samuel G. Moore et autres

Traumatic brain injury (TBI) is a significant source of disability in the United States and around the world and may lead to long-lasting cognitive deficits and a decreased quality of life for patients across injury severities. Following the primary injury phase, TBI …

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4 citations Metabolites

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