Identifying a stable and generalizable factor structure of major depressive disorder across three large longitudinal cohorts

Autor: Schilsky, Richard L., Allen, Jennifer, Anderson, MaryAnn, Anstrom, Kevin, Araujo, Lucus, Arges, Kristine, Ardalan, Kaveh, Baldwin, Bridget, Balu, Suresh, Bashir, Mustafa R., Bhapkar, Manju, Bigelow, Robert, Black, Tanya, Blanco, Rosalia, Bloomfield, Gerald, Borkar, Durga, Bouk, Leah, Boulware, Ebony, Brugnoni, Nikki, Campbell, Erin, Campbell, Paul, Carin, Larry, Cassella, Tammy Jo, Cates, Tina, Montgomery, Ranee Chatterjee, Christian, Victoria, Choong, John, Cohen-Wolkowiez, Michael, Cook, Elizabeth, Cousins, Scott, Crawford, Ashley, Datta, Nisha, Daubert, Melissa, Davis, James, Dirkes, Jillian, Doan, Isabelle, Dockery, Marie, Douglas, Pamela S., Duckworth, Shelly, Dunham, Ashley, Dunn, Gary, Ebersohl, Ryan, Eckstrand, Julie, Fang, Vivienne, Flora, April, Ford, Emily, Foster, Lucia, Fraulo, Elizabeth, French, John, Ginsburg, Geoffrey S., Green, Cindy, Greene, Latoya, Guptill, Jeffrey, Hamel, Donna, Hamill, Jennifer, Harrington, Chris, Harrison, Rob, Hedges, Lauren, Heidenfelder, Brooke, Hernandez, Adrian F., Heydary, Cindy, Hicks, Tim, Hight, Lina, Hopkins, Deborah, Huang, Erich S., Huh, Grace, Hurst, Jillian, Inman, Kelly, Janas, Gemini, Jaffee, Glenn, Johnson, Janace, Keaton, Tiffanie, Khouri, Michel, King, Daniel, Korzekwinski, Jennifer, Koweek, Lynne H., Kuo, Anthony, Kwee, Lydia, Landis, Dawn, Lipsky, Rachele, Lopez, Desiree, Lowry, Carolyn, Marcom, Kelly, Marsolo, Keith, McAdams, Paige, McCall, Shannon, McGarrah, Robert, McGugan, John, Mee, Dani, Mervin-Blake, Sabrena, Mettu, Prithu, Meyer, Mathias, Meyers, Justin, Miller, Calire N., Moen, Rebecca, Muhlbaier, Lawrence H., Murphy, Michael, Neely, Ben, Newby, L. Kristin, Nicoldson, Jayne, Nguyen, Hoang, Nguyen, Maggie, O'Brien, Lori, Onal, Sumru, O'Quinn, Jeremey, Page, David, Pagidipati, Neha J., Parikh, Kishan, Palmer, Sarah R., Patrick-Lake, Bray, Pattison, Brenda, Pencina, Michael, Peterson, Eric D., Piccini, Jon, Poole, Terry, Povsic, Tom, Provencher, Alicia, Rabineau, Dawn, Rich, Annette, Rimmer, Susan, Schwartz, Fides, Serafin, Angela, Shah, Nishant, Shah, Svati, Shields, Kelly, Shipes, Steven, Shrader, Peter, Stiber, Jon, Sutton, Lynn, Swamy, Geeta, Thomas, Betsy, Torres, Sandra, Tucci, Debara, Twisdale, Anthony, Walker, Brooke, Whitney, Susan A., Williamson, Robin, Wilverding, Lauren, Wong, Charlene A., Wruck, Lisa, Young, Ellen, Perlmutter, Jane, Krug, Sarah, Bowman-Zatzkin, S. Whitney, Assimes, Themistocles, Bajaj, Vikram, Cheong, Maxwell, Das, Millie, Desai, Manisha, Fan, Alice C., Fleischmann, Dominik, Gambhir, Sanjiv S., Gold, Garry, Haddad, Francois, Hong, David, Langlotz, Curtis, Liao, Yaping J., Lu, Rong, Mahaffey, Kenneth W., Maron, David, McCue, Rebecca, Munshi, Rajan, Rodriguez, Fatima, Shashidhar, Sumana, Sledge, George, Spielman, Susie, Spitler, Ryan, Swope, Sue, Williams, Donna, Pepine, Carl J, Lantos, John D, Pignone, Michael, Heagerty, Patrick, Beskow, Laura, Bernard, Gordon, Abad, Kelley, Angi, Giulia, Califf, Robert M., Deang, Lawrence, Huynh, Joy, Liu, Manway, Mao, Cherry, Magdaleno, Michael, Marks, William J., Jr., Mega, Jessica, Miller, David, Ong, Nicole, Patel, Darshita, Ridaura, Vanessa, Shore, Scarlet, Short, Sarah, Tran, Michelle, Vu, Veronica, Wong, Celeste, Green, Robert C., Hernandez, John, Benge, Jolene, Negrete, Gislia, Sierra, Gelsey, Schaack, Terry, Tseng, Vincent W.S., Tharp, Jordan A., Reiter, Jacob E., Ferrer, Weston, Hong, David S., Doraiswamy, P. Murali, Nickels, Stefanie

Publikováno v: In Psychiatry Research March 2024 333

Confounding variables can degrade generalization performance of radiological deep learning models

Autor: Zech, John R., Badgeley, Marcus A., Liu, Manway, Costa, Anthony B., Titano, Joseph J., Oermann, Eric K.

Publikováno v: PLoS Med 15(11):e1002683 (2019)

Early results in using convolutional neural networks (CNNs) on x-rays to diagnose disease have been promising, but it has not yet been shown that models trained on x-rays from one hospital or one group of hospitals will work equally well at different

Externí odkaz: http://arxiv.org/abs/1807.00431

Algorithmic advances towards a fully automated DNA genotyping system

Autor: Liu, Manway Michael, 1980

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (leaves 46-47).
Short Tandem Repeats (STR) genotyping is a leading tool in forensic DNA

Externí odkaz: http://hdl.handle.net/1721.1/28438

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MULTIOMICS BLOOD-BASED BIOMARKERS IN NON-SMALL LUNG CANCER DEMONSTRATE SPECIFICITY AGAINST SMOKING AND HIGH PERFORMANCE IN EARLY DETECTION

Autor: KHALEDIAN, EHDIEH, RAMASWAMY, SAIVIDYA, LIU, MANWAY, RAMAIAH, MADHUVANTHI, YARMUS, LONNY B, WILCOX, BRUCE, BELTHANGADY, CHINMAY, KOH, BRIAN, MA, PHILIP

Publikováno v: In Chest October 2023 164(4) Supplement:A4207-A4208