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| http://dx.doi.org/10.1513/AnnalsATS.202012-1501LE | DOI Listing |
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Ovarian cancer staging and follow-up: updated guidelines from the European Society of Urogenital Radiology female pelvic imaging working group.
Eur Radiol
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Department of Radiology, Montpellier Research Center Institute, PINKCC Laboratory, Montpellier, France.
Objective: To provide up-to-date European Society of Urogenital Radiology (ESUR) guidelines for staging and follow-up of patients with ovarian cancer (OC).
Methods: Twenty-one experts, members of the female pelvis imaging ESUR subcommittee from 19 institutions, replied to 2 rounds of questionnaires regarding imaging techniques and structured reporting used for pre-treatment evaluation of OC patients. The results of the survey were presented to the other authors during the group's annual meeting.
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Department of Cardiopulmonary Bypass, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, Beijing, China. Electronic address:
Non-inferiority trials: tyranny or good governance? - Authors' reply.
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Optimal Cancer Care Alliance, Ann Arbor, MI, USA; Veterans Affairs Center for Clinical Management Research, Charles S Kettles VA Medical Center, Ann Arbor, MI, USA; Division of Oncology and Lung Precision Oncology Program, University of Michigan Division of Hematology/Oncology, Rogel Cancer Center, Institute for Health Policy and Innovation, and Center for Global Health Equity, Ann Arbor, MI, USA.
How AI competencies can make B2B marketing smarter: strategies to boost customer lifetime value.
Front Artif Intell
December 2024
College of Economics and Management, Beijing University of Technology, Beijing, China.
There has been a rapid rise in utilization of artificial intelligence (AI) in many different sectors in the last several years. However, business-to-business (B2B) marketing is one of the more notable examples. The initial assessments emphasize the significant advantages of AI in B2B marketing, including its knack for yielding unique understandings into consumer behaviors, recognizing crucial market trends, and improving operational efficiency.
View Article and Find Full Text PDFDeep learning algorithm on H&E whole slide images to characterize alterations frequency and spatial distribution in breast cancer.
Comput Struct Biotechnol J
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Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy.
The tumor suppressor is frequently mutated in hormone receptor-negative, HER2-positive breast cancer (BC), contributing to tumor aggressiveness. Traditional ancillary methods like immunohistochemistry (IHC) to assess functionality face pre- and post-analytical challenges. This proof-of-concept study employed a deep learning (DL) algorithm to predict mutational status from H&E-stained whole slide images (WSIs) of BC tissue.
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