Zobrazeno 1 - 10
of 1 289
pro vyhledávání: '"Swigart A"'
Autor:
Sarah Hauryski, Alexandra Potts, Alison Swigart, Dara Babinski, Daniel A. Waschbusch, Lauren N. Forrest
Publikováno v:
Borderline Personality Disorder and Emotion Dysregulation, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Background Psychiatric medications are not efficacious for treating borderline personality disorder (BPD), yet many patients with BPD are prescribed multiple psychiatric medications. This study aimed to (1) characterize psychiatric medicatio
Externí odkaz:
https://doaj.org/article/60606cacc04e4426bcd6403929d594d2
Autor:
Goli Samimi, Sarah M. Temkin, Carol J. Weil, Paul K. J. Han, Elyse LeeVan, Wendy S. Rubinstein, Tessa M. Swigart, Sarah Caban, Katherine Dent, Lori M. Minasian
Publikováno v:
Cancer Medicine, Vol 13, Iss 21, Pp n/a-n/a (2024)
ABSTRACT Introduction Multicancer detection tests (MCDs) are blood‐based tests designed to detect multiple cancer types. It is currently unclear whether these cancer screening tests improve mortality. To understand awareness of MCDs among providers
Externí odkaz:
https://doaj.org/article/8af4b122485e439e95b0fe67a5257ccc
Autor:
Kim, Jaesik, Ionita, Matei, Lee, Matthew, McKeague, Michelle L., Pattekar, Ajinkya, Painter, Mark M., Wagenaar, Joost, Truong, Van, Norton, Dylan T., Mathew, Divij, Nam, Yonghyun, Apostolidis, Sokratis A., Clendenin, Cynthia, Orzechowski, Patryk, Jung, Sang-Hyuk, Woerner, Jakob, Ittner, Caroline A.G., Turner, Alexandra P., Esperanza, Mika, Dunn, Thomas G., Mangalmurti, Nilam S., Reilly, John P., Meyer, Nuala J., Calfee, Carolyn S., Liu, Kathleen D., Matthy, Michael A., Swigart, Lamorna Brown, Burnham, Ellen L., McKeehan, Jeffrey, Gandotra, Sheetal, Russel, Derek W., Gibbs, Kevin W., Thomas, Karl W., Barot, Harsh, Greenplate, Allison R., Wherry, E. John, Kim, Dokyoon
Publikováno v:
In Cell Reports Medicine 19 November 2024 5(11)
Autor:
Campbell, Michael J., Wolf, Denise M., Yau, Christina, Brown-Swigart, Lamorna, Wulfkuhle, Julie, Gallagher, Isela R., Zhu, Zelos, Bolen, Jennifer, Vandenberg, Scott, Hoyt, Clifford, Mori, Hidetoshi, Borowsky, Alexander, Sit, Laura, Perlmutter, Jane, Asare, Smita M., Nanda, Rita, Liu, Minetta C., Yee, Douglas, DeMichele, Angela M., Hylton, Nola M., Pusztai, Lajos, Berry, Donald A., Hirst, Gillian L., Petricoin, Emanuel F., Veer, Laura van’t, Esserman, Laura
Publikováno v:
In Cell Reports Medicine 19 November 2024 5(11)
Autor:
Zhang, Jiandong, Sandroni, Peyton B., Huang, Wei, Gao, Xiaohua, Oswalt, Leah, Schroder, Melissa A., Lee, SungHo, Shih, Yen-Yu I., Huang, Hsiao-Ying S., Swigart, Philip M., Myagmar, Bat E., Simpson, Paul C., Rossi, Joseph S., Schisler, Jonathan C., Jensen, Brian C.
Publikováno v:
In JACC: Basic to Translational Science January 2024 9(1):78-96
Autor:
Huppert, L.A., Wolf, D., Yau, C., Brown-Swigart, L., Hirst, G.L., Isaacs, C., Pusztai, L., Pohlmann, P.R., DeMichele, A., Shatsky, R., Yee, D., Thomas, A., Nanda, R., Perlmutter, J., Heditsian, D., Hylton, N., Symmans, F., van’t Veer, L.J., Esserman, L., Rugo, H.S.
Publikováno v:
In Annals of Oncology
Autor:
Radha Dhingra, Fan He, Erika F. H. Saunders, Daniel A. Waschbusch, Amanda M. Pearl, Edward O. Bixler, Jody L. Greaney, Alison R. Swigart, Laila Al-Shaar, Vernon M. Chinchilli, Jeff D. Yanosky, Duanping Liao
Publikováno v:
Mental Illness, Vol 2024 (2024)
Background. Cardiovascular disease (CVD) and depression are the leading causes of disability in the U.S. Using electronic health record data, we describe the CVD burden among persons with mental illness enrolled in the Penn State Psychiatry Clinical
Externí odkaz:
https://doaj.org/article/8bc7913155c8497fa8f0173d53b24872
Autor:
Chakraborty, Sayan, Shah, Smit, Soltani, Kiumars, Swigart, Anna, Yang, Luyao, Buckingham, Kyle
Organizations rely heavily on time series metrics to measure and model key aspects of operational and business performance. The ability to reliably detect issues with these metrics is imperative to identifying early indicators of major problems befor
Externí odkaz:
http://arxiv.org/abs/2011.05047
The recent increase in the scale and complexity of software systems has introduced new challenges to the time series monitoring and anomaly detection process. A major drawback of existing anomaly detection methods is that they lack contextual informa
Externí odkaz:
http://arxiv.org/abs/2001.01056
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