نتائج البحث - "Sara Hoffman"

1

دورية أكاديمية

Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes

المصدر: Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)

مصطلحات موضوعية: Science

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2041-1723Test

الوصول الحر: https://doaj.org/article/05d507904fe140cd941a3a33245b3716Test

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النص الكامل

2

دورية أكاديمية

The Effects of Acute Exercise on Short- and Long-Term Memory: Considerations for the Timing of Exercise and Phases of Memory

المؤلفون: Paul D. Loprinzi, Sierra Day, Rebecca Hendry, Sara Hoffman, Alexis Love, Sarah Marable, Elizabeth McKee, Sydney Stec, Hanna Watson, Brittney Gilliland

المصدر: Europe's Journal of Psychology, Vol 17, Iss 1, Pp 85-103 (2021)

مصطلحات موضوعية: cognition, cognitive function, exercise, long-term potentiation, physiscal activity, Psychology, BF1-990

وصف الملف: electronic resource

العلاقة: https://ejop.psychopen.eu/index.php/ejop/article/view/2955Test; https://doaj.org/toc/1841-0413Test

الوصول الحر: https://doaj.org/article/c532e0cc87c6447a847e3e8991b13dacTest

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النص الكامل

3

دورية أكاديمية

Using the Preparation Phase of the Multiphase Optimization Strategy to Develop a Messaging Component for Weight Loss: Formative and Pilot Research

المؤلفون: Pfammatter, Angela Fidler, Marchese, Sara Hoffman, Pellegrini, Christine, Daly, Elyse, Davidson, Miriam, Spring, Bonnie

المصدر: JMIR Formative Research, Vol 4, Iss 5, p e16297 (2020)

مصطلحات موضوعية: Medicine

العلاقة: http://formative.jmir.org/2020/5/e16297Test/; https://doaj.org/toc/2561-326XTest; https://doaj.org/article/69c119ba05e24928a68692ca4c8d4fbdTest

الإتاحة: https://doi.org/10.2196/16297Test
https://doaj.org/article/69c119ba05e24928a68692ca4c8d4fbdTest

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النص الكامل

4

AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::cf4e90e1edfaeb039c78c57d3af13b08Test
https://doi.org/10.1101/2023.04.20.23288534Test

5

Conquering Media Coverage : The use of battle metaphors in hospital foundation communications and its impact on news coverage

المؤلفون: Sara Hoffman

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f52591f9e71d1026ac02bcc852fca8b4Test
https://doi.org/10.32920/ryerson.14657367.v1Test

6

دورية أكاديمية

Toward a precision behavioral medicine approach to addressing high-risk sun exposure: a qualitative analysis

المؤلفون: Stump, Tammy K, Spring, Bonnie, Marchese, Sara Hoffman, Alshurafa, Nabil, Robinson, June K

المساهمون: National Institutes of Health's National Center for Advancing Translational Sciences, National Institutes of Health, NIH, NCI, NIDDK

المصدر: JAMIA Open ; volume 2, issue 4, page 547-553 ; ISSN 2574-2531

مصطلحات موضوعية: Health Informatics

الإتاحة: https://doi.org/10.1093/jamiaopen/ooz034Test
http://academic.oup.com/jamiaopen/article-pdf/2/4/547/32298839/ooz034.pdfTest

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7

Retrospective AI-based measurement of NASH histology (AIM-NASH) analysis of biopsies from Phase 2 study of Resmetirom confirms significant treatment-induced changes in histologic features of non-alcoholic steatohepatitis

المؤلفون: Stephen Harrison, Janani Iyer, Charles Biddle-Snead, Sara Hoffman, Quang Le, Victoria Mountain, Murray Resnick, Katy Wack, Jim Hennan, Rebecca Taub

المصدر: Journal of Hepatology. 77:S711-S712

مصطلحات موضوعية: Hepatology

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::c6753008253a2cc248d40260d0d0e387Test
https://doi.org/10.1016/s0168-8278Test(22)01740-8

8

'You Could Take 'Social' Out of Engineering and Be Just Fine': An Exploration of Engineering Students' Beliefs About the Social Aspects of Engineering Work

المؤلفون: Robert Loweth, Shanna Daly, Leah Paborsky, Sara Hoffman, Steve Skerlos

المصدر: 2021 ASEE Virtual Annual Conference Content Access Proceedings.

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::e23b1968bb57e2e5499621bb1658601bTest
https://doi.org/10.18260/1-2--36539Test

9

Abstract 471: AIM PD-L1-NSCLC: Artificial intelligence-powered PD-L1 quantification for accurate prediction of tumor proportion score in diverse, multi-stain clinical tissue samples

المؤلفون: Michael Griffin, Mevlana Gemici, Ashar Javed, Nishant Agrawal, Murray Resnick, Limin Yu, Sara Hoffman, Victoria Mountain, Jamie Harisiades, Megan Rothney, Benjamin Glass, Ilan Wapinski, Andrew Beck, Eric Walk

المصدر: Cancer Research. 82:471-471

مصطلحات موضوعية: Cancer Research, Oncology

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::9af20d7df4ff4b22039afcb8820d1131Test
https://doi.org/10.1158/1538-7445.am2022-471Test

10

Abstract CT112: AI-powered and manual assessment of PD-L1 are comparable in predicting response to neoadjuvant atezolizumab in patients (pts) with resectable non-squamous, non-small cell lung cancer (NSCLC)

المصدر: Cancer Research. 82:CT112-CT112

مصطلحات موضوعية: Cancer Research, Oncology

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::088c6ce1f0c81880be5cbca3240dfcaaTest
https://doi.org/10.1158/1538-7445.am2022-ct112Test

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