D
Daniel W. Chan
Researcher at Hong Kong Polytechnic University
Publications - 707
Citations - 47988
Daniel W. Chan is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Cancer & Prostate cancer. The author has an hindex of 106, co-authored 663 publications receiving 41915 citations. Previous affiliations of Daniel W. Chan include Merck & Co. & Charité.
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Determining and assessing the risks of commercial and recreational complex building projects in developing countries: a survey of experts in Iran
TL;DR: In this paper, the authors identify and rank the risks of commercial and recreational complex building projects (CRCBPs) by studying the case of the Hamedanian Memorial, a CRCBP in Iran.
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Impact of a multivariate index assay on referral patterns for surgical management of an adnexal mass
Robert E. Bristow,Melissa Hodeib,Alan D. Smith,Daniel W. Chan,Zhen Zhang,Eric T. Fung,Krishnansu S. Tewari,Donald G. Munroe,Frederick R. Ueland +8 more
TL;DR: Use of MIA as a risk stratification test was associated with referral patterns by nongynecologic oncologists comparable to actual clinical practice and higher sensitivity for malignancy than other adnexal mass triage algorithms.
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An integrated proteomic and glycoproteomic approach uncovers differences in glycosylation occupancy from benign and malignant epithelial ovarian tumors.
Qing Kay Li,Qing Kay Li,Punit Shah,Yuan Tian,Yingwei Hu,Richard B. S. Roden,Hui Zhang,Daniel W. Chan +7 more
TL;DR: Specific changes in glycoprotein expression or glycosylation occupancy have the potential to be used in the discrimination between benign and malignant epithelial ovarian tumors and to improve the understanding of ovarian cancer biology.
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The use of laser capture microscopy in proteomics research--a review.
George M. Kunz,Daniel W. Chan +1 more
TL;DR: Characterizing the human ‘proteome’ will require a number of new and innovative tools, including laser capture microscopy and surface-enhanced laser desorption/ionization time-of-flight mass spectrometry.
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Developing a fuzzy risk assessment model for guaranteed maximum price and target cost contracts in South Australia
TL;DR: In this paper, the authors developed a fuzzy risk assessment model for construction projects procured with target cost contracts and guaranteed maximum price contracts using the fuzzy synthetic evaluation method, based on an empirical questionnaire survey with relevant industrial practitioners in South Australia.