Search Results - "Arunajadai, S"

Systematic literature review and meta-analysis reveals the biological functions most frequently altered in endometriosis by Parfitt, D, Berro, R, Hu-Seliger, T, Oromendia, A, Clementi, C, Kalmbach, K, Arunajadai, S, Yurttas Beim, P

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The disruption of genes involved in oogenesis is significantly associated with longer time or failure to achieve live birth in patients undergoing IVF by Berro, R, Parfitt, D, Arunajadai, S, Clementi, C, Kalmbach, K, Miller, B, Gutmann, J, Arredondo, F, Copperman, A.B, Yurttas Beim, P

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Bisphenol-A Exposure and Asthma In An Inner-City Birth Cohort by Donohue, K.M, Miller, R.L, Perzanowski, M.S, Just, A.C, Hoepner, L.A, Arunajadai, S, Perera, F.P, Whyatt, R.M

“…Models controlled for gender, race/ethnicity, maternal asthma, exposure to pre- and post-natal environmental tobacco smoke, and urinary specific gravity…”
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PDB87 IDENTIFY PREDICTIVE FACTORS FOR THE QUALITY OF LIFE MEASURE IN TYPE 2 DIABETES PATIENTS IN CHINA by Han, Y., Arunajadai, S., Haskell, T.

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PNS164 ADDRESSING SAMPLE SIZE CHALLENGES IN LINKED DATA THROUGH DATA FUSION USING ARTIFICIAL NEURAL NETWORKS by Arunajadai, S., Lee, L., Haskell, T.

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Utilization of a Precise, Clinically Relevant, Digital Classification System to Identify Variation in Care and Costs Among Patients with Breast Cancer by Collins, A, Natale, M, Castaneda, E, Hg, Noh, Arunajadai, S, Patel, J, Ng, K, Mathura, S, Cady, S, West, D, Paddock, S, Norden, AD

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PHS21 - Utilization of a Precise, Clinically Relevant, Digital Classification System to Identify Variation in Care and Costs Among Patients with Breast Cancer by Collins, A, Natale, M, Castaneda, E, Hg, Noh, Arunajadai, S, Patel, J, Ng, K, Mathura, S, Cady, S, West, D, Paddock, S, Norden, AD

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THE CORRELATION BETWEEN INDICATOR ORGANISMS AND HEALTH IN RECREATIONAL WATER IN A COHORT OF BEACHGOERS AT MISSION BAY, CALIFORNIA DURING THE SUMMER OF 2003 by Colford, Jack, Wade, Timothy, Schiff, Ken, Brookhart, Alan, Arunajadai, S, Burns, Susan, Hayes, J, Sandhu, Sukhminder, Wright, Catherine, Weisberg, Steve

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Failure Mode Identification through Clustering Analysis by Arunajadai, Srikesh G., Uder, Scott J., Stone, Robert B., Tumer, Irem Y.

“…Research has shown that nearly 80% of the costs and problems associated with product design are created during product development, and cost and quality are…”
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