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1 to 10 of 12 Results

Crohn's Disease May 26, 2023 Sali, Rasoul, 2023, "Crohn's Disease", https://doi.org/10.18130/V3/MMKKEL, University of Virginia Dataverse, V1 This dataset includes microscopic ileal histology images labeled into two classes: Control vs Crohns. - Control images IDs start with INCT and Crohns images IDs with INCR. - The first eight character in the image ID are patient's ID (e.g., INCT0001). - Each patient has one or mor...
Epigenetics of chronic childhood undernutrition - supplementary files Apr 25, 2023 Kupkova, Kristyna, 2023, "Epigenetics of chronic childhood undernutrition - supplementary files", https://doi.org/10.18130/V3/IF4EA7, University of Virginia Dataverse, V1 Supplementary files to: "Epigenetics of chronic childhood undernutrition", a dissertation submitted by Kristyna Kupkova in April 2023 to the UVA Department of Biochemistry and Molecular Genetics. The dissertation is available at https://doi.org/10.18130/fv3h-g521
Replication Data for: MRI of mouse cerebral cavernomas reveal differential lesion progression and variable permeability to gadolinium Apr 18, 2023 Fisher, Delaney; Sharifi, Khadijeh; Ulutas, Zeynep; Kumar, Jeyan; Kalani, Yashar; Miller, Wilson; Price, Richard; Tvrdik, Petr, 2023, "Replication Data for: MRI of mouse cerebral cavernomas reveal differential lesion progression and variable permeability to gadolinium", https://doi.org/10.18130/V3/SF1TS3, University of Virginia Dataverse, V1 METHODS: We established a chronic mouse model of CCM, induced by postnatal ablation of Krit1 with Pdgfb-CreERT, and examined lesion progression in these mice with T2-weighted 7T MRI. We also established a modified protocol for dynamic contrast-enhanced (DCE) MRI and produced quan...
Kim 2022 - Acute progesterone feedback in PCOS - Supplemental Materials Feb 22, 2022 Mccartney, Christopher, 2021, "Kim 2022 - Acute progesterone feedback in PCOS - Supplemental Materials", https://doi.org/10.18130/V3/ANXWCF, University of Virginia Dataverse, V3 Supplemental Materials for "Acute progesterone feedback on gonadotropin secretion is not demonstrably altered in estradiol-pretreated women with polycystic ovary syndrome," authors Su Hee Kim, Jessica A. Lundgren, James T. Patrie, Christine M. Burt Solorzano, and Christopher R. M...
Replication Data for: Deep Learning-Derived Tissue Features Aid Diagnosis of Eosinophilic Esophagitis Jan 22, 2022 Adorno, William, 2021, "Replication Data for: Deep Learning-Derived Tissue Features Aid Diagnosis of Eosinophilic Esophagitis", https://doi.org/10.18130/V3/OJKSL9, University of Virginia Dataverse, V4 This contains data to replicate the eosionphil segmentation model and the EoE classification model.
Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms Apr 7, 2021 - Center for Advanced Medical Analytics (CAMA) Zimmet, Amanda M; Sullivan, Brynne A; Fairchild, Karen D; Moorman, J Randall; Isler, Joseph R; Wallman-Stokes, Aaron W; Sahni, Rakesh; Vesoulis, Zachary A; Ratcliffe, Sarah J; Lake, Douglas E, 2021, "Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms", https://doi.org/10.18130/V3/7UAPHU, University of Virginia Dataverse, V1 This repository contains the dataset and code for the manuscript: Zimmet AM, Sullivan BA, Fairchild KD, Moorman JR, Isler JR, Wallman-Stokes AW, Sahni R, Vesoulis ZA, Ratcliffe SJ, & Lake DE. Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithm...
Evidence for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis Mar 31, 2021 Niestroy, Justin; Levinson, Maxwell; Al Manir, Sadnan; Clark, Timothy; Fairchild, Karen; Lake, Doug; Moorman, Randall, 2021, "Evidence for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis", https://doi.org/10.18130/V3/HHTAYI, University of Virginia Dataverse, V1 Evidence graph supporting "Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis".
Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis Mar 26, 2021 - Center for Advanced Medical Analytics (CAMA) Niestroy, Justin; Levinson, Maxwell; Al Manir, Sadnan; Clark, Timothy; Fairchild, Karen; Lake, Doug; Moorman, Randall, 2021, "Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis", https://doi.org/10.18130/V3/VJXODP, University of Virginia Dataverse, V2, UNF:6:GqW9E/3oO1FhDufqdm3q5w== [fileUNF] Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis
Center for Advanced Medical Analytics (CAMA) Jan 8, 2021
Trajectories of the heart rate characteristics index, a physiomarker of sepsis in premature infants, predict Neonatal ICU mortality Jul 30, 2020 - Center for Advanced Medical Analytics (CAMA) Zimmet, Amanda M; Sullivan, Brynne A; Moorman, J Randall; Lake, Douglas E; Ratcliffe, Sarah J, 2020, "Trajectories of the heart rate characteristics index, a physiomarker of sepsis in premature infants, predict Neonatal ICU mortality", https://doi.org/10.18130/V3/2XENWC, University of Virginia Dataverse, V1, UNF:6:S3FYMHGFUcyal63xyeldrA== [fileUNF] This repository contains the dataset and code for the manuscript: Zimmet AM, Sullivan BA, Moorman JR, Lake DE, & Ratcliffe SJ. Trajectories of the heart rate characteristics index, a physiomarker of sepsis in premature infants, predict Neonatal ICU mortality. JRSM Cardiovascular...

Crohn's Disease

May 26, 2023

Sali, Rasoul, 2023, "Crohn's Disease", https://doi.org/10.18130/V3/MMKKEL, University of Virginia Dataverse, V1

This dataset includes microscopic ileal histology images labeled into two classes: Control vs Crohns. - Control images IDs start with INCT and Crohns images IDs with INCR. - The first eight character in the image ID are patient's ID (e.g., INCT0001). - Each patient has one or mor...

Epigenetics of chronic childhood undernutrition - supplementary files

Apr 25, 2023

Kupkova, Kristyna, 2023, "Epigenetics of chronic childhood undernutrition - supplementary files", https://doi.org/10.18130/V3/IF4EA7, University of Virginia Dataverse, V1

Supplementary files to: "Epigenetics of chronic childhood undernutrition", a dissertation submitted by Kristyna Kupkova in April 2023 to the UVA Department of Biochemistry and Molecular Genetics. The dissertation is available at https://doi.org/10.18130/fv3h-g521

Replication Data for: MRI of mouse cerebral cavernomas reveal differential lesion progression and variable permeability to gadolinium

Apr 18, 2023

Fisher, Delaney; Sharifi, Khadijeh; Ulutas, Zeynep; Kumar, Jeyan; Kalani, Yashar; Miller, Wilson; Price, Richard; Tvrdik, Petr, 2023, "Replication Data for: MRI of mouse cerebral cavernomas reveal differential lesion progression and variable permeability to gadolinium", https://doi.org/10.18130/V3/SF1TS3, University of Virginia Dataverse, V1

METHODS: We established a chronic mouse model of CCM, induced by postnatal ablation of Krit1 with Pdgfb-CreERT, and examined lesion progression in these mice with T2-weighted 7T MRI. We also established a modified protocol for dynamic contrast-enhanced (DCE) MRI and produced quan...

Kim 2022 - Acute progesterone feedback in PCOS - Supplemental Materials

Feb 22, 2022

Mccartney, Christopher, 2021, "Kim 2022 - Acute progesterone feedback in PCOS - Supplemental Materials", https://doi.org/10.18130/V3/ANXWCF, University of Virginia Dataverse, V3

Supplemental Materials for "Acute progesterone feedback on gonadotropin secretion is not demonstrably altered in estradiol-pretreated women with polycystic ovary syndrome," authors Su Hee Kim, Jessica A. Lundgren, James T. Patrie, Christine M. Burt Solorzano, and Christopher R. M...

Replication Data for: Deep Learning-Derived Tissue Features Aid Diagnosis of Eosinophilic Esophagitis

Jan 22, 2022

Adorno, William, 2021, "Replication Data for: Deep Learning-Derived Tissue Features Aid Diagnosis of Eosinophilic Esophagitis", https://doi.org/10.18130/V3/OJKSL9, University of Virginia Dataverse, V4

This contains data to replicate the eosionphil segmentation model and the EoE classification model.

Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms

Apr 7, 2021 - Center for Advanced Medical Analytics (CAMA)

Zimmet, Amanda M; Sullivan, Brynne A; Fairchild, Karen D; Moorman, J Randall; Isler, Joseph R; Wallman-Stokes, Aaron W; Sahni, Rakesh; Vesoulis, Zachary A; Ratcliffe, Sarah J; Lake, Douglas E, 2021, "Data Associated with the Publication: Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithms", https://doi.org/10.18130/V3/7UAPHU, University of Virginia Dataverse, V1

This repository contains the dataset and code for the manuscript: Zimmet AM, Sullivan BA, Fairchild KD, Moorman JR, Isler JR, Wallman-Stokes AW, Sahni R, Vesoulis ZA, Ratcliffe SJ, & Lake DE. Vital Sign Metrics of VLBW Infants in Three NICUs: Implications for Predictive Algorithm...

Evidence for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis

Mar 31, 2021

Niestroy, Justin; Levinson, Maxwell; Al Manir, Sadnan; Clark, Timothy; Fairchild, Karen; Lake, Doug; Moorman, Randall, 2021, "Evidence for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis", https://doi.org/10.18130/V3/HHTAYI, University of Virginia Dataverse, V1

Evidence graph supporting "Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis".

Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis

Mar 26, 2021 - Center for Advanced Medical Analytics (CAMA)

Niestroy, Justin; Levinson, Maxwell; Al Manir, Sadnan; Clark, Timothy; Fairchild, Karen; Lake, Doug; Moorman, Randall, 2021, "Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis", https://doi.org/10.18130/V3/VJXODP, University of Virginia Dataverse, V2, UNF:6:GqW9E/3oO1FhDufqdm3q5w== [fileUNF]

Replication Data for: Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis

Center for Advanced Medical Analytics (CAMA)

Jan 8, 2021

Trajectories of the heart rate characteristics index, a physiomarker of sepsis in premature infants, predict Neonatal ICU mortality

Jul 30, 2020 - Center for Advanced Medical Analytics (CAMA)

Zimmet, Amanda M; Sullivan, Brynne A; Moorman, J Randall; Lake, Douglas E; Ratcliffe, Sarah J, 2020, "Trajectories of the heart rate characteristics index, a physiomarker of sepsis in premature infants, predict Neonatal ICU mortality", https://doi.org/10.18130/V3/2XENWC, University of Virginia Dataverse, V1, UNF:6:S3FYMHGFUcyal63xyeldrA== [fileUNF]

This repository contains the dataset and code for the manuscript: Zimmet AM, Sullivan BA, Moorman JR, Lake DE, & Ratcliffe SJ. Trajectories of the heart rate characteristics index, a physiomarker of sepsis in premature infants, predict Neonatal ICU mortality. JRSM Cardiovascular...

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