Target-agnostic drug prediction integrated with medical record analysis uncovers differential associations of statins with increased survival in COVID-19 patients von Sperry, Megan M, Oskotsky, Tomiko T, Marić, Ivana, Kaushal, Shruti, Takeda, Takako, Horvath, Viktor, Powers, Rani K, Rodas, Melissa, Furlong, Brooke, Soong, Mercy, Prabhala, Pranav, Goyal, Girija, Carlson, Kenneth E, Wong, Ronald J, Kosti, Idit, Le, Brian L, Logue, James, Hammond, Holly, Frieman, Matthew, Stevenson, David K, Ingber, Donald E, Sirota, Marina, Novak, Richard

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Similarities and differences in Alzheimer’s dementia comorbidities in racialized populations identified from electronic medical records von Woldemariam, Sarah R., Tang, Alice S., Oskotsky, Tomiko T., Yaffe, Kristine, Sirota, Marina

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MaLiAmPi enables generalizable and taxonomy-independent microbiome features from technically diverse 16S-based microbiome studies von Minot, Samuel S, Garb, Bailey, Roldan, Alennie, Tang, Alice S, Oskotsky, Tomiko T, Rosenthal, Christopher, Hoffman, Noah G, Sirota, Marina, Golob, Jonathan L

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Identifying therapeutic candidates for endometriosis through a transcriptomics-based drug repositioning approach von Oskotsky, Tomiko T., Bhoja, Arohee, Bunis, Daniel, Le, Brian L., Tang, Alice S., Kosti, Idit, Li, Christine, Houshdaran, Sahar, Sen, Sushmita, Vallvé-Juanico, Júlia, Wang, Wanxin, Arthurs, Erin, Govil, Arpita, Mahoney, Lauren, Lang, Lindsey, Gaudilliere, Brice, Stevenson, David K., Irwin, Juan C., Giudice, Linda C., McAllister, Stacy L., Sirota, Marina

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Endometriosis in the era of precision medicine and impact on sexual and reproductive health across the lifespan and in diverse populations von Giudice, Linda C., Oskotsky, Tomiko T., Falako, Simileoluwa, Opoku‐Anane, Jessica, Sirota, Marina

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Alzheimer's disease as a women's health challenge: a call for action on integrative precision medicine approaches von Miramontes, S, Pereda Serras, C, Woldemariam, S R, Khan, U, Li, Y, Tang, A S, Tsoy, E, Oskotsky, T T, Sirota, M

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Harnessing EHR data for health research von Tang, Alice S., Woldemariam, Sarah R., Miramontes, Silvia, Norgeot, Beau, Oskotsky, Tomiko T., Sirota, Marina

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Discovery of sparse, reliable omic biomarkers with Stabl von Hédou, Julien, Marić, Ivana, Bellan, Grégoire, Einhaus, Jakob, Gaudillière, Dyani K., Ladant, Francois-Xavier, Verdonk, Franck, Stelzer, Ina A., Feyaerts, Dorien, Tsai, Amy S., Ganio, Edward A., Sabayev, Maximilian, Gillard, Joshua, Amar, Jonas, Cambriel, Amelie, Oskotsky, Tomiko T., Roldan, Alennie, Golob, Jonathan L., Sirota, Marina, Bonham, Thomas A., Sato, Masaki, Diop, Maïgane, Durand, Xavier, Angst, Martin S., Stevenson, David K., Aghaeepour, Nima, Montanari, Andrea, Gaudillière, Brice

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Data-driven insights can transform women's reproductive health von Oskotsky, Tomiko T, Yin, Ophelia, Khan, Umair, Arnaout, Leen, Sirota, Marina

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Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insights von Tang, Alice S, Rankin, Katherine P, Cerono, Gabriel, Miramontes, Silvia, Mills, Hunter, Roger, Jacquelyn, Zeng, Billy, Nelson, Charlotte, Soman, Karthik, Woldemariam, Sarah, Li, Yaqiao, Lee, Albert, Bove, Riley, Glymour, Maria, Aghaeepour, Nima, Oskotsky, Tomiko T, Miller, Zachary, Allen, Isabel E, Sanders, Stephan J, Baranzini, Sergio, Sirota, Marina

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VMAP: Vaginal Microbiome Atlas during Pregnancy von Parraga-Leo, Antonio, Oskotsky, Tomiko T, Oskotsky, Boris, Wibrand, Camilla, Roldan, Alennie, Tang, Alice S, Ha, Connie W Y, Wong, Ronald J, Minot, Samuel S, Andreoletti, Gaia, Kosti, Idit, Theis, Kevin R, Ng, Sherrianne, Lee, Yun S, Diaz-Gimeno, Patricia, Bennett, Phillip R, MacIntyre, David A, Lynch, Susan V, Romero, Roberto, Tarca, Adi L, Stevenson, David K, Aghaeepour, Nima, Golob, Jonathan L, Sirota, Marina

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Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research von Golob, Jonathan L, Oskotsky, Tomiko T, Tang, Alice S, Roldan, Alennie, Chung, Verena, Ha, Connie W Y, Wong, Ronald J, Flynn, Kaitlin J, Parraga-Leo, Antonio, Wibrand, Camilla, Minot, Samuel S, Oskotsky, Boris, Andreoletti, Gaia, Kosti, Idit, Bletz, Julie, Nelson, Amber, Gao, Jifan, Wei, Zhoujingpeng, Chen, Guanhua, Tang, Zheng-Zheng, Novielli, Pierfrancesco, Romano, Donato, Pantaleo, Ester, Amoroso, Nicola, Monaco, Alfonso, Vacca, Mirco, De Angelis, Maria, Bellotti, Roberto, Tangaro, Sabina, Kuntzleman, Abigail, Bigcraft, Isaac, Techtmann, Stephen, Bae, Daehun, Kim, Eunyoung, Jeon, Jongbum, Joe, Soobok, Theis, Kevin R, Ng, Sherrianne, Lee, Yun S, Diaz-Gimeno, Patricia, Bennett, Phillip R, MacIntyre, David A, Stolovitzky, Gustavo, Lynch, Susan V, Albrecht, Jake, Gomez-Lopez, Nardhy, Romero, Roberto, Stevenson, David K, Aghaeepour, Nima, Tarca, Adi L, Costello, James C, Sirota, Marina

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10456 Endometriosis or Chronic Pelvic Pain —Disparities in Inpatient Surgical Care on the National Level von Okorie, CN, Meghan, A, Bejerano, S, Rodriguez, A, Sirota, M, Oskotsky, T, Giudice, L, Opoku-Anane, J

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Antidepressant use during pregnancy and the risk of preterm birth – a cohort study von Amit, Guy, Yanover, Chen, Bivas-Benita, Maytal, Girshovitz, Irena, Helbitz, Tal, Sudry, Tamar, Bar, Vered, Tang, Alice S., Le, Brian L., Roger, Jacquelyn, Woldemariam, Sarah, Kosti, Idit, Oskotsky, Tomiko T., Akiva, Pinchas, Sirota, Marina

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Microbiome preterm birth DREAM challenge: crowdsourcing machine learning approaches to advance preterm birth research von Golob, JL, Oskotsky, TT, Tang, AS, Roldan, A, Chung, V, Ha, CWY, Wong, RJ, Flynn, KJ, Parraga-Leo, A, Wibrand, C, Minot, SS, Oskotsky, B, Andreoletti, G, Kosti, I, Bletz, J, Nelson, A, Gao, J, Wei, Z, Chen, G, Tang, Z-Z, Novielli, P, Romano, D, Pantaleo, E, Amoroso, N, Monaco, A, Vacca, M, De Angelis, M, Bellotti, R, Tangaro, S, Kuntzleman, A, Bigcraft, I, Techtmann, S, Bae, D, Kim, E, Jeon, J, Joe, S, Theis, KR, Ng, S, Lee, YS, Diaz-Gimeno, P, Bennett, PR, MacIntyre, DA, Stolovitzky, G, Lynch, SV, Albrecht, J, Gomez-Lopez, N, Romero, R, Stevenson, DK, Aghaeepour, N, Tarca, AL, Costello, JC, Sirota, M

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Microbiome preterm birth DREAM challenge: crowdsourcing machine learning approaches to advance preterm birth research von Golob, JL, Oskotsky, TT, Tang, AS, Roldan, A, Chung, V, Ha, CWY, Wong, RJ, Flynn, KJ, Parraga-Leo, A, Wibrand, C, Minot, SS, Andreoletti, G, Kosti, I, Bletz, J, Nelson, A, Gao, J, Wei, Z, Chen, G, Tang, Z-Z, Novielli, P, Romano, D, Pantaleo, E, Amoroso, N, Monaco, A, Vacca, M, De Angelis, M, Bellotti, R, Tangaro, S, Kuntzleman, A, Bigcraft, I, Techtmann, S, Bae, D, Kim, E, Jeon, J, Joe, S, Preterm Birth DREAM Community, Theis, KR, Ng, S, Lee Li, YS, Diaz-Gimeno, P, Bennett, PR, MacIntyre, DA, Stolovitzky, G, Lynch, SV, Albrecht, J, Gomez-Lopez, N, Romero, R, Stevenson, DK, Aghaeepour, N, Tarca, AL, Costello, JC, Sirota, M

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Deep phenotyping of Alzheimer’s disease leveraging electronic medical records identifies sex-specific clinical associations von Tang, Alice S., Oskotsky, Tomiko, Havaldar, Shreyas, Mantyh, William G., Bicak, Mesude, Solsberg, Caroline Warly, Woldemariam, Sarah, Zeng, Billy, Hu, Zicheng, Oskotsky, Boris, Dubal, Dena, Allen, Isabel E., Glicksberg, Benjamin S., Sirota, Marina

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Comprehensive analysis of normal adjacent to tumor transcriptomes von Aran, Dvir, Camarda, Roman, Odegaard, Justin, Paik, Hyojung, Oskotsky, Boris, Krings, Gregor, Goga, Andrei, Sirota, Marina, Butte, Atul J.

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Personalizing routine lab tests with machine learning von Tang, Alice, Oskotsky, Tomiko, Sirota, Marina

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Mortality Risk Among Patients With COVID-19 Prescribed Selective Serotonin Reuptake Inhibitor Antidepressants von Oskotsky, Tomiko, Maric, Ivana, Tang, Alice, Oskotsky, Boris, Wong, Ronald J., Aghaeepour, Nima, Sirota, Marina, Stevenson, David K.

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