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Regional brain atrophy and cognitive decline depend on definition of subjective cognitive decline.

NeuroImage. Clinical

Morrison C, Dadar M, Shafiee N, Villeneuve S, Louis Collins D.
PMID: 34959049
Neuroimage Clin. 2021 Dec 21;33:102923. doi: 10.1016/j.nicl.2021.102923. Epub 2021 Dec 21.

BACKGROUND: People with subjective cognitive decline (SCD) may be at increased risk for Alzheimer's disease (AD). However, not all studies have observed this increased risk. This project examined whether four common methods of defining SCD yields different patterns of...

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Morrison C, Dadar M, Shafiee N, et al. Regional brain atrophy and cognitive decline depend on definition of subjective cognitive decline. Neuroimage Clin. 2021;33:102923doi: 10.1016/j.nicl.2021.102923.
Morrison, C., Dadar, M., Shafiee, N., Villeneuve, S., Louis Collins, D. (2021). Regional brain atrophy and cognitive decline depend on definition of subjective cognitive decline. NeuroImage. Clinical, 33102923. https://doi.org/10.1016/j.nicl.2021.102923
Morrison, Cassandra, et al. "Regional brain atrophy and cognitive decline depend on definition of subjective cognitive decline." NeuroImage. Clinical vol. 33 (2021): 102923. doi: https://doi.org/10.1016/j.nicl.2021.102923
Morrison C, Dadar M, Shafiee N, Villeneuve S, Louis Collins D. Regional brain atrophy and cognitive decline depend on definition of subjective cognitive decline. Neuroimage Clin. 2021 Dec 21;33:102923. doi: 10.1016/j.nicl.2021.102923. Epub 2021 Dec 21. PMID: 34959049; PMCID: PMC8718726.
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Towards Computational Screening for New Energetic Molecules: Calculation of Heat of Formation and Determination of Bond Strengths by Local Mode Analysis.

Frontiers in chemistry

Christopher IL, Michalchuk AAL, Pulham CR, Morrison CA.
PMID: 34354982
Front Chem. 2021 Jul 20;9:726357. doi: 10.3389/fchem.2021.726357. eCollection 2021.

The reliable determination of gas-phase and solid-state heats of formation are important considerations in energetic materials research. Herein, the ability of PM7 to calculate the gas-phase heats of formation for CNHO-only and inorganic compounds has been critically evaluated, and...

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Christopher IL, Michalchuk AAL, Pulham CR, et al. Towards Computational Screening for New Energetic Molecules: Calculation of Heat of Formation and Determination of Bond Strengths by Local Mode Analysis. Front Chem. 2021;9:726357doi: 10.3389/fchem.2021.726357.
Christopher, I. L., Michalchuk, A. A. L., Pulham, C. R., & Morrison, C. A. (2021). Towards Computational Screening for New Energetic Molecules: Calculation of Heat of Formation and Determination of Bond Strengths by Local Mode Analysis. Frontiers in chemistry, 9726357. https://doi.org/10.3389/fchem.2021.726357
Christopher, Imogen L, et al. "Towards Computational Screening for New Energetic Molecules: Calculation of Heat of Formation and Determination of Bond Strengths by Local Mode Analysis." Frontiers in chemistry vol. 9 (2021): 726357. doi: https://doi.org/10.3389/fchem.2021.726357
Christopher IL, Michalchuk AAL, Pulham CR, Morrison CA. Towards Computational Screening for New Energetic Molecules: Calculation of Heat of Formation and Determination of Bond Strengths by Local Mode Analysis. Front Chem. 2021 Jul 20;9:726357. doi: 10.3389/fchem.2021.726357. eCollection 2021. PMID: 34354982; PMCID: PMC8329490.
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Regional brain atrophy and cognitive decline depend on definition of subjective cognitive decline.

NeuroImage. Clinical

Morrison C, Dadar M, Shafiee N, Villeneuve S, Louis Collins D.
PMID: 34959049
Neuroimage Clin. 2021 Dec 21;33:102923. doi: 10.1016/j.nicl.2021.102923. Epub 2021 Dec 21.

BACKGROUND: People with subjective cognitive decline (SCD) may be at increased risk for Alzheimer's disease (AD). However, not all studies have observed this increased risk. This project examined whether four common methods of defining SCD yields different patterns of...

Cite
Morrison C, Dadar M, Shafiee N, et al. Regional brain atrophy and cognitive decline depend on definition of subjective cognitive decline. Neuroimage Clin. 2021;33:102923doi: 10.1016/j.nicl.2021.102923.
Morrison, C., Dadar, M., Shafiee, N., Villeneuve, S., Louis Collins, D. (2021). Regional brain atrophy and cognitive decline depend on definition of subjective cognitive decline. NeuroImage. Clinical, 33102923. https://doi.org/10.1016/j.nicl.2021.102923
Morrison, Cassandra, et al. "Regional brain atrophy and cognitive decline depend on definition of subjective cognitive decline." NeuroImage. Clinical vol. 33 (2021): 102923. doi: https://doi.org/10.1016/j.nicl.2021.102923
Morrison C, Dadar M, Shafiee N, Villeneuve S, Louis Collins D. Regional brain atrophy and cognitive decline depend on definition of subjective cognitive decline. Neuroimage Clin. 2021 Dec 21;33:102923. doi: 10.1016/j.nicl.2021.102923. Epub 2021 Dec 21. PMID: 34959049; PMCID: PMC8718726.
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Health Literacy-Related Safety Events: A Qualitative Study of Health Literacy Failures in Patient Safety Events.

Pediatric quality & safety

Morrison AK, Gibson C, Higgins C, Gutzeit M.
PMID: 34235353
Pediatr Qual Saf. 2021 Jun 23;6(4):e425. doi: 10.1097/pq9.0000000000000425. eCollection 2021.

INTRODUCTION: Communication failures are the leading root cause of safety events. Although much communication research focuses on the healthcare team, there is little focus on communication with patients and families. It is not known what deficits in health literate...

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Morrison AK, Gibson C, Higgins C, et al. Health Literacy-Related Safety Events: A Qualitative Study of Health Literacy Failures in Patient Safety Events. Pediatr Qual Saf. 2021;6(4):e425doi: 10.1097/pq9.0000000000000425.
Morrison, A. K., Gibson, C., Higgins, C., & Gutzeit, M. (2021). Health Literacy-Related Safety Events: A Qualitative Study of Health Literacy Failures in Patient Safety Events. Pediatric quality & safety, 6(4), e425. https://doi.org/10.1097/pq9.0000000000000425
Morrison, Andrea K, et al. "Health Literacy-Related Safety Events: A Qualitative Study of Health Literacy Failures in Patient Safety Events." Pediatric quality & safety vol. 6,4 (2021): e425. doi: https://doi.org/10.1097/pq9.0000000000000425
Morrison AK, Gibson C, Higgins C, Gutzeit M. Health Literacy-Related Safety Events: A Qualitative Study of Health Literacy Failures in Patient Safety Events. Pediatr Qual Saf. 2021 Jun 23;6(4):e425. doi: 10.1097/pq9.0000000000000425. eCollection 2021. PMID: 34235353; PMCID: PMC8225367.
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Correction to: Characterization of the gut microbiome in a porcine model of thoracic spinal cord injury.

BMC genomics

Doelman A, Tigchelaar S, McConeghy B, Sinha S, Keung MS, Manouchehri N, Webster M, Fisk S, Morrison C, Streijger F, Nislow C, Kwon BK.
PMID: 34872489
BMC Genomics. 2021 Dec 06;22(1):879. doi: 10.1186/s12864-021-08202-z.

No abstract available.

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Doelman A, Tigchelaar S, McConeghy B, et al. Correction to: Characterization of the gut microbiome in a porcine model of thoracic spinal cord injury. BMC Genomics. 2021;22(1):879doi: 10.1186/s12864-021-08202-z.
Doelman, A., Tigchelaar, S., McConeghy, B., Sinha, S., Keung, M. S., Manouchehri, N., Webster, M., Fisk, S., Morrison, C., Streijger, F., Nislow, C., & Kwon, B. K. (2021). Correction to: Characterization of the gut microbiome in a porcine model of thoracic spinal cord injury. BMC genomics, 22(1), 879. https://doi.org/10.1186/s12864-021-08202-z
Doelman, Adam, et al. "Correction to: Characterization of the gut microbiome in a porcine model of thoracic spinal cord injury." BMC genomics vol. 22,1 (2021): 879. doi: https://doi.org/10.1186/s12864-021-08202-z
Doelman A, Tigchelaar S, McConeghy B, Sinha S, Keung MS, Manouchehri N, Webster M, Fisk S, Morrison C, Streijger F, Nislow C, Kwon BK. Correction to: Characterization of the gut microbiome in a porcine model of thoracic spinal cord injury. BMC Genomics. 2021 Dec 06;22(1):879. doi: 10.1186/s12864-021-08202-z. PMID: 34872489; PMCID: PMC8647305.
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A Dose-Response Relationship to Radiotherapy for Cutaneous Lesions of Langerhans Cell Histiocytosis.

Case reports in oncological medicine

Farrugia MK, Morrison C, Hernandez-Ilizaliturri F, Aljabab S.
PMID: 33833885
Case Rep Oncol Med. 2021 Mar 24;2021:6680635. doi: 10.1155/2021/6680635. eCollection 2021.

Langerhans cell histiocytosis (LCH) is a rare disease, afflicting approximately 4.6 and 1-2 per 1 million children and adults, respectively. While LCH can involve numerous organ systems such as the lung or bone, it is uncommon for the disease...

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Farrugia MK, Morrison C, Hernandez-Ilizaliturri F, et al. A Dose-Response Relationship to Radiotherapy for Cutaneous Lesions of Langerhans Cell Histiocytosis. Case Rep Oncol Med. 2021;2021:6680635doi: 10.1155/2021/6680635.
Farrugia, M. K., Morrison, C., Hernandez-Ilizaliturri, F., & Aljabab, S. (2021). A Dose-Response Relationship to Radiotherapy for Cutaneous Lesions of Langerhans Cell Histiocytosis. Case reports in oncological medicine, 20216680635. https://doi.org/10.1155/2021/6680635
Farrugia, Mark K, et al. "A Dose-Response Relationship to Radiotherapy for Cutaneous Lesions of Langerhans Cell Histiocytosis." Case reports in oncological medicine vol. 2021 (2021): 6680635. doi: https://doi.org/10.1155/2021/6680635
Farrugia MK, Morrison C, Hernandez-Ilizaliturri F, Aljabab S. A Dose-Response Relationship to Radiotherapy for Cutaneous Lesions of Langerhans Cell Histiocytosis. Case Rep Oncol Med. 2021 Mar 24;2021:6680635. doi: 10.1155/2021/6680635. eCollection 2021. PMID: 33833885; PMCID: PMC8016594.
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Generative Deep Learning in Digital Pathology Workflows.

The American journal of pathology

Morrison D, Harris-Birtill D, Caie PD.
PMID: 33838127
Am J Pathol. 2021 Oct;191(10):1717-1723. doi: 10.1016/j.ajpath.2021.02.024. Epub 2021 Apr 08.

Many modern histopathology laboratories are in the process of digitizing their workflows. Digitization of tissue images has made it feasible to research the augmentation or automation of clinical reporting and diagnosis. The application of modern computer vision techniques, based...

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Morrison D, Harris-Birtill D, Caie PD. Generative Deep Learning in Digital Pathology Workflows. Am J Pathol. 2021;191(10):1717-1723doi: 10.1016/j.ajpath.2021.02.024.
Morrison, D., Harris-Birtill, D., & Caie, P. D. (2021). Generative Deep Learning in Digital Pathology Workflows. The American journal of pathology, 191(10), 1717-1723. https://doi.org/10.1016/j.ajpath.2021.02.024
Morrison, David, et al. "Generative Deep Learning in Digital Pathology Workflows." The American journal of pathology vol. 191,10 (2021): 1717-1723. doi: https://doi.org/10.1016/j.ajpath.2021.02.024
Morrison D, Harris-Birtill D, Caie PD. Generative Deep Learning in Digital Pathology Workflows. Am J Pathol. 2021 Oct;191(10):1717-1723. doi: 10.1016/j.ajpath.2021.02.024. Epub 2021 Apr 08. PMID: 33838127.
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Epidemiologic Trends in Fatal and Nonfatal Firearm Injuries in the US, 2009-2017.

JAMA internal medicine

Kaufman EJ, Wiebe DJ, Xiong RA, Morrison CN, Seamon MJ, Delgado MK.
PMID: 33284327
JAMA Intern Med. 2021 Feb 01;181(2):237-244. doi: 10.1001/jamainternmed.2020.6696.

IMPORTANCE: Firearm injury research in the US has focused on fatal injuries. The incidence and epidemiologic factors associated with nonfatal firearm injuries are less understood.OBJECTIVE: To evaluate estimates of incidence and trends over time of fatal and nonfatal firearm...

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Kaufman EJ, Wiebe DJ, Xiong RA, et al. Epidemiologic Trends in Fatal and Nonfatal Firearm Injuries in the US, 2009-2017. JAMA Intern Med. 2021;181(2):237-244doi: 10.1001/jamainternmed.2020.6696.
Kaufman, E. J., Wiebe, D. J., Xiong, R. A., Morrison, C. N., Seamon, M. J., & Delgado, M. K. (2021). Epidemiologic Trends in Fatal and Nonfatal Firearm Injuries in the US, 2009-2017. JAMA internal medicine, 181(2), 237-244. https://doi.org/10.1001/jamainternmed.2020.6696
Kaufman, Elinore J, et al. "Epidemiologic Trends in Fatal and Nonfatal Firearm Injuries in the US, 2009-2017." JAMA internal medicine vol. 181,2 (2021): 237-244. doi: https://doi.org/10.1001/jamainternmed.2020.6696
Kaufman EJ, Wiebe DJ, Xiong RA, Morrison CN, Seamon MJ, Delgado MK. Epidemiologic Trends in Fatal and Nonfatal Firearm Injuries in the US, 2009-2017. JAMA Intern Med. 2021 Feb 01;181(2):237-244. doi: 10.1001/jamainternmed.2020.6696. PMID: 33284327; PMCID: PMC7851729.
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Berkeley foundation for opportunities in information technology: A decade of broadening participation.

Humphreys SM, Garcia DD, Crutchfield OSL, Harrison CD, Haas G, Colleen ML, Khooshabeh P.
UIID-AD: 4460
2011; doi: 10.1145/2037276.2037279.

The Berkeley Foundation for Opportunities in Information Technology is a decade-old endeavor to expose pre-college young women and underrepresented racial and ethnicminorities to the fields of computer science and engineering, and prepare them for rigorous, university-level study. We have...

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Humphreys SM, Garcia DD, Crutchfield OSL, et al. Berkeley foundation for opportunities in information technology: A decade of broadening participation. 2011;doi: 10.1145/2037276.2037279.
Humphreys, S. M., Garcia, D. D., Crutchfield, O. S. L., Harrison, C. D., Haas, G., Colleen, M. L., & Khooshabeh, P. (2011). Berkeley foundation for opportunities in information technology: A decade of broadening participation. . https://doi.org/10.1145/2037276.2037279
Humphreys, S M, et al. "Berkeley foundation for opportunities in information technology: A decade of broadening participation." vol. (2011). doi: https://doi.org/10.1145/2037276.2037279
Humphreys SM, Garcia DD, Crutchfield OSL, Harrison CD, Haas G, Colleen ML, Khooshabeh P. Berkeley foundation for opportunities in information technology: A decade of broadening participation. 2011; doi: 10.1145/2037276.2037279. UIID-AD: 4460.
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Showing 637 to 645 of 645 entries