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A Trans-Governmental Collaboration to Independently Evaluate SARS-CoV-2 Serology Assays.

Microbiology spectrum

Pinto LA, Shawar RM, O'Leary B, Kemp TJ, Cherry J, Thornburg N, Miller CN, Gallagher PS, Stenzel T, Schuck B, Owen SM, Kondratovich M, Satheshkumar PS, Schuh A, Lester S, Cassetti MC, Sharpless NE, Gitterman S, Lowy DR.
PMID: 35019677
Microbiol Spectr. 2022 Jan 12;e0156421. doi: 10.1128/spectrum.01564-21. Epub 2022 Jan 12.

The emergence of SARS-CoV-2 created a crucial need for serology assays to detect anti-SARS-CoV-2 antibodies, which led to many serology assays entering the market. A trans-government collaboration was created in April 2020 to independently evaluate the performance of commercial...

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Pinto LA, Shawar RM, O'Leary B, et al. A Trans-Governmental Collaboration to Independently Evaluate SARS-CoV-2 Serology Assays. Microbiol Spectr. 2022;e0156421doi: 10.1128/spectrum.01564-21.
Pinto, L. A., Shawar, R. M., O'Leary, B., Kemp, T. J., Cherry, J., Thornburg, N., Miller, C. N., Gallagher, P. S., Stenzel, T., Schuck, B., Owen, S. M., Kondratovich, M., Satheshkumar, P. S., Schuh, A., Lester, S., Cassetti, M. C., Sharpless, N. E., Gitterman, S., & Lowy, D. R. (2022). A Trans-Governmental Collaboration to Independently Evaluate SARS-CoV-2 Serology Assays. Microbiology spectrum, e0156421. https://doi.org/10.1128/spectrum.01564-21
Pinto, Ligia A, et al. "A Trans-Governmental Collaboration to Independently Evaluate SARS-CoV-2 Serology Assays." Microbiology spectrum vol. (2022): e0156421. doi: https://doi.org/10.1128/spectrum.01564-21
Pinto LA, Shawar RM, O'Leary B, Kemp TJ, Cherry J, Thornburg N, Miller CN, Gallagher PS, Stenzel T, Schuck B, Owen SM, Kondratovich M, Satheshkumar PS, Schuh A, Lester S, Cassetti MC, Sharpless NE, Gitterman S, Lowy DR. A Trans-Governmental Collaboration to Independently Evaluate SARS-CoV-2 Serology Assays. Microbiol Spectr. 2022 Jan 12;e0156421. doi: 10.1128/spectrum.01564-21. Epub 2022 Jan 12. PMID: 35019677.
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Assessing the diagnosis of "primary cutaneous mantle cell lymphoma": A systematic review and population-based analysis.

Journal of the American Academy of Dermatology

Goyal A, O'Leary D, Foreman RK, Duncan LM.
PMID: 34343606
J Am Acad Dermatol. 2021 Jul 31; doi: 10.1016/j.jaad.2021.07.043. Epub 2021 Jul 31.

No abstract available.

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Goyal A, O'Leary D, Foreman RK, et al. Assessing the diagnosis of "primary cutaneous mantle cell lymphoma": A systematic review and population-based analysis. J Am Acad Dermatol. 2021;doi: 10.1016/j.jaad.2021.07.043.
Goyal, A., O'Leary, D., Foreman, R. K., & Duncan, L. M. (2021). Assessing the diagnosis of "primary cutaneous mantle cell lymphoma": A systematic review and population-based analysis. Journal of the American Academy of Dermatology, . https://doi.org/10.1016/j.jaad.2021.07.043
Goyal, Amrita, et al. "Assessing the diagnosis of "primary cutaneous mantle cell lymphoma": A systematic review and population-based analysis." Journal of the American Academy of Dermatology vol. (2021). doi: https://doi.org/10.1016/j.jaad.2021.07.043
Goyal A, O'Leary D, Foreman RK, Duncan LM. Assessing the diagnosis of "primary cutaneous mantle cell lymphoma": A systematic review and population-based analysis. J Am Acad Dermatol. 2021 Jul 31; doi: 10.1016/j.jaad.2021.07.043. Epub 2021 Jul 31. PMID: 34343606.
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PIPAC for the Treatment of Gynecologic and Gastrointestinal Peritoneal Metastases: Technical and Logistic Considerations of a Phase 1 Trial.

Annals of surgical oncology

Raoof M, Malhotra G, Kohut A, O'Leary M, Frankel P, Tran T, Fakih M, Chao J, Lim D, Woo Y, Paz IB, Lew M, Cristea MC, Rodriguez-Rodriguez L, Fong Y, Blakely A, Whelan R, Reymond MA, Merchea A, Dellinger TH.
PMID: 34387765
Ann Surg Oncol. 2022 Jan;29(1):175-185. doi: 10.1245/s10434-021-10505-0. Epub 2021 Aug 13.

BACKGROUND: Peritoneal metastases (PM) from ovarian, gastric, appendiceal, or colorectal origin can be treated via cytoreductive surgery with or without the addition of hyperthermic intraperitoneal chemotherapy (HIPEC) for selected patients. Unfortunately, not all patients are candidates for aggressive surgical...

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Raoof M, Malhotra G, Kohut A, et al. PIPAC for the Treatment of Gynecologic and Gastrointestinal Peritoneal Metastases: Technical and Logistic Considerations of a Phase 1 Trial. Ann Surg Oncol. 2021;29(1):175-185doi: 10.1245/s10434-021-10505-0.
Raoof, M., Malhotra, G., Kohut, A., O'Leary, M., Frankel, P., Tran, T., Fakih, M., Chao, J., Lim, D., Woo, Y., Paz, I. B., Lew, M., Cristea, M. C., Rodriguez-Rodriguez, L., Fong, Y., Blakely, A., Whelan, R., Reymond, M. A., Merchea, A., & Dellinger, T. H. (2022). PIPAC for the Treatment of Gynecologic and Gastrointestinal Peritoneal Metastases: Technical and Logistic Considerations of a Phase 1 Trial. Annals of surgical oncology, 29(1), 175-185. https://doi.org/10.1245/s10434-021-10505-0
Raoof, Mustafa, et al. "PIPAC for the Treatment of Gynecologic and Gastrointestinal Peritoneal Metastases: Technical and Logistic Considerations of a Phase 1 Trial." Annals of surgical oncology vol. 29,1 (2022): 175-185. doi: https://doi.org/10.1245/s10434-021-10505-0
Raoof M, Malhotra G, Kohut A, O'Leary M, Frankel P, Tran T, Fakih M, Chao J, Lim D, Woo Y, Paz IB, Lew M, Cristea MC, Rodriguez-Rodriguez L, Fong Y, Blakely A, Whelan R, Reymond MA, Merchea A, Dellinger TH. PIPAC for the Treatment of Gynecologic and Gastrointestinal Peritoneal Metastases: Technical and Logistic Considerations of a Phase 1 Trial. Ann Surg Oncol. 2022 Jan;29(1):175-185. doi: 10.1245/s10434-021-10505-0. Epub 2021 Aug 13. PMID: 34387765.
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Air quality monitoring and measurement in an urban airshed: Contextualizing datasets from the Detroit Michigan area from 1952 to 2020.

The Science of the total environment

O'Leary BF, Hill AB, Akers KG, Esparra-Escalera HJ, Lucas A, Raoufi G, Huang Y, Mariscal N, Mohanty SK, Tummala CM, Dittrich TM.
PMID: 34871691
Sci Total Environ. 2021 Dec 04;809:152120. doi: 10.1016/j.scitotenv.2021.152120. Epub 2021 Dec 04.

With urban air quality being a pressing public health concern, community members are becoming increasingly engaged in determining the links between air quality and human health. Although new measurement tools such as low-cost sensors make local data more accessible,...

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O'Leary BF, Hill AB, Akers KG, et al. Air quality monitoring and measurement in an urban airshed: Contextualizing datasets from the Detroit Michigan area from 1952 to 2020. Sci Total Environ. 2021;809:152120doi: 10.1016/j.scitotenv.2021.152120.
O'Leary, B. F., Hill, A. B., Akers, K. G., Esparra-Escalera, H. J., Lucas, A., Raoufi, G., Huang, Y., Mariscal, N., Mohanty, S. K., Tummala, C. M., & Dittrich, T. M. (2021). Air quality monitoring and measurement in an urban airshed: Contextualizing datasets from the Detroit Michigan area from 1952 to 2020. The Science of the total environment, 809152120. https://doi.org/10.1016/j.scitotenv.2021.152120
O'Leary, Brendan F, et al. "Air quality monitoring and measurement in an urban airshed: Contextualizing datasets from the Detroit Michigan area from 1952 to 2020." The Science of the total environment vol. 809 (2021): 152120. doi: https://doi.org/10.1016/j.scitotenv.2021.152120
O'Leary BF, Hill AB, Akers KG, Esparra-Escalera HJ, Lucas A, Raoufi G, Huang Y, Mariscal N, Mohanty SK, Tummala CM, Dittrich TM. Air quality monitoring and measurement in an urban airshed: Contextualizing datasets from the Detroit Michigan area from 1952 to 2020. Sci Total Environ. 2021 Dec 04;809:152120. doi: 10.1016/j.scitotenv.2021.152120. Epub 2021 Dec 04. PMID: 34871691.
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Candidate Glycoprotein Biomarkers for Canine Visceral Hemangiosarcoma and Validation Using Semi-Quantitative Lectin/Immunohistochemical Assays.

Veterinary sciences

Oungsakul P, Choi E, Shah AK, Mohamed A, O'Leary C, Duffy D, Hill MM, Bielefeldt-Ohmann H.
PMID: 33673507
Vet Sci. 2021 Feb 27;8(3). doi: 10.3390/vetsci8030038.

Visceral hemangiosarcoma (HSA) is one of the more frequent cancers in dogs and has a high metastatic rate and poor prognosis, as clinical signs only become apparent in advanced stages of tumor development. In order to improve early and...

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Oungsakul P, Choi E, Shah AK, et al. Candidate Glycoprotein Biomarkers for Canine Visceral Hemangiosarcoma and Validation Using Semi-Quantitative Lectin/Immunohistochemical Assays. Vet Sci. 2021;8(3)doi: 10.3390/vetsci8030038.
Oungsakul, P., Choi, E., Shah, A. K., Mohamed, A., O'Leary, C., Duffy, D., Hill, M. M., & Bielefeldt-Ohmann, H. (2021). Candidate Glycoprotein Biomarkers for Canine Visceral Hemangiosarcoma and Validation Using Semi-Quantitative Lectin/Immunohistochemical Assays. Veterinary sciences, 8(3), . https://doi.org/10.3390/vetsci8030038
Oungsakul, Patharee, et al. "Candidate Glycoprotein Biomarkers for Canine Visceral Hemangiosarcoma and Validation Using Semi-Quantitative Lectin/Immunohistochemical Assays." Veterinary sciences vol. 8,3 (2021). doi: https://doi.org/10.3390/vetsci8030038
Oungsakul P, Choi E, Shah AK, Mohamed A, O'Leary C, Duffy D, Hill MM, Bielefeldt-Ohmann H. Candidate Glycoprotein Biomarkers for Canine Visceral Hemangiosarcoma and Validation Using Semi-Quantitative Lectin/Immunohistochemical Assays. Vet Sci. 2021 Feb 27;8(3). doi: 10.3390/vetsci8030038. PMID: 33673507; PMCID: PMC7997418.
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A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks.

PeerJ. Computer science

Islam KT, Wijewickrema S, O'Leary S.
PMID: 33816834
PeerJ Comput Sci. 2019 Mar 04;5:e181. doi: 10.7717/peerj-cs.181. eCollection 2019.

Three-dimensional (3D) medical image classification is useful in applications such as disease diagnosis and content-based medical image retrieval. It is a challenging task due to several reasons. First, image intensity values are vastly different depending on the image modality....

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Islam KT, Wijewickrema S, O'Leary S. A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks. PeerJ Comput Sci. 2019;5:e181doi: 10.7717/peerj-cs.181.
Islam, K. T., Wijewickrema, S., & O'Leary, S. (2019). A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks. PeerJ. Computer science, 5e181. https://doi.org/10.7717/peerj-cs.181
Islam, Kh Tohidul, et al. "A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks." PeerJ. Computer science vol. 5 (2019): e181. doi: https://doi.org/10.7717/peerj-cs.181
Islam KT, Wijewickrema S, O'Leary S. A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks. PeerJ Comput Sci. 2019 Mar 04;5:e181. doi: 10.7717/peerj-cs.181. eCollection 2019. PMID: 33816834; PMCID: PMC7924426.
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Identification of Proteins Deregulated by Platinum-Based Chemotherapy as Novel Biomarkers and Therapeutic Targets in Non-Small Cell Lung Cancer.

Frontiers in oncology

Ryan SL, Dave KA, Beard S, Gyimesi M, McTaggart M, Sahin KB, Molloy C, Gandhi NS, Boittier E, O'Leary CG, Shah ET, Bolderson E, Baird AM, Richard DJ, O'Byrne KJ, Adams MN.
PMID: 33777753
Front Oncol. 2021 Mar 11;11:615967. doi: 10.3389/fonc.2021.615967. eCollection 2021.

Platinum-based chemotherapy remains the cornerstone of treatment for most people with non-small cell lung cancer (NSCLC), either as adjuvant therapy in combination with a second cytotoxic agent or in combination with immunotherapy. Resistance to therapy, either in the form...

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Ryan SL, Dave KA, Beard S, et al. Identification of Proteins Deregulated by Platinum-Based Chemotherapy as Novel Biomarkers and Therapeutic Targets in Non-Small Cell Lung Cancer. Front Oncol. 2021;11:615967doi: 10.3389/fonc.2021.615967.
Ryan, S. L., Dave, K. A., Beard, S., Gyimesi, M., McTaggart, M., Sahin, K. B., Molloy, C., Gandhi, N. S., Boittier, E., O'Leary, C. G., Shah, E. T., Bolderson, E., Baird, A. M., Richard, D. J., O'Byrne, K. J., & Adams, M. N. (2021). Identification of Proteins Deregulated by Platinum-Based Chemotherapy as Novel Biomarkers and Therapeutic Targets in Non-Small Cell Lung Cancer. Frontiers in oncology, 11615967. https://doi.org/10.3389/fonc.2021.615967
Ryan, Sarah-Louise, et al. "Identification of Proteins Deregulated by Platinum-Based Chemotherapy as Novel Biomarkers and Therapeutic Targets in Non-Small Cell Lung Cancer." Frontiers in oncology vol. 11 (2021): 615967. doi: https://doi.org/10.3389/fonc.2021.615967
Ryan SL, Dave KA, Beard S, Gyimesi M, McTaggart M, Sahin KB, Molloy C, Gandhi NS, Boittier E, O'Leary CG, Shah ET, Bolderson E, Baird AM, Richard DJ, O'Byrne KJ, Adams MN. Identification of Proteins Deregulated by Platinum-Based Chemotherapy as Novel Biomarkers and Therapeutic Targets in Non-Small Cell Lung Cancer. Front Oncol. 2021 Mar 11;11:615967. doi: 10.3389/fonc.2021.615967. eCollection 2021. PMID: 33777753; PMCID: PMC7991912.
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In silico analysis of local RNA secondary structure in influenza virus A, B and C finds evidence of widespread ordered stability but little evidence of significant covariation.

Scientific reports

Peterson JM, O'Leary CA, Moss WN.
PMID: 35013354
Sci Rep. 2022 Jan 10;12(1):310. doi: 10.1038/s41598-021-03767-x.

Influenza virus is a persistent threat to human health; indeed, the deadliest modern pandemic was in 1918 when an H1N1 virus killed an estimated 50 million people globally. The intent of this work is to better understand influenza from...

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Peterson JM, O'Leary CA, Moss WN. In silico analysis of local RNA secondary structure in influenza virus A, B and C finds evidence of widespread ordered stability but little evidence of significant covariation. Sci Rep. 2022;12(1):310doi: 10.1038/s41598-021-03767-x.
Peterson, J. M., O'Leary, C. A., & Moss, W. N. (2022). In silico analysis of local RNA secondary structure in influenza virus A, B and C finds evidence of widespread ordered stability but little evidence of significant covariation. Scientific reports, 12(1), 310. https://doi.org/10.1038/s41598-021-03767-x
Peterson, Jake M, et al. "In silico analysis of local RNA secondary structure in influenza virus A, B and C finds evidence of widespread ordered stability but little evidence of significant covariation." Scientific reports vol. 12,1 (2022): 310. doi: https://doi.org/10.1038/s41598-021-03767-x
Peterson JM, O'Leary CA, Moss WN. In silico analysis of local RNA secondary structure in influenza virus A, B and C finds evidence of widespread ordered stability but little evidence of significant covariation. Sci Rep. 2022 Jan 10;12(1):310. doi: 10.1038/s41598-021-03767-x. PMID: 35013354; PMCID: PMC8748542.
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Showing 541 to 548 of 548 entries