Cardiovascular Risk Assessment Using Artificial Intelligence-Enabled Event Adjudication and Hematologic Predictors

Autor: James G. Truslow, Shinichi Goto, Max Homilius, Christopher Mow, John M. Higgins, Calum A. MacRae, Rahul C. Deo

Publikováno v: Circulation. Cardiovascular quality and outcomes, vol 15, iss 6

Background: Researchers routinely evaluate novel biomarkers for incorporation into clinical risk models, weighing tradeoffs between cost, availability, and ease of deployment. For risk assessment in population health initiatives, ideal inputs would b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17f63aa0975db194adddb90f61c785c5
https://escholarship.org/uc/item/14t8b8r7

Discovery of cardiac imaging biomarkers by training neural network models across diagnostic modalities

Autor: John Je, Gan L, Max Homilius, Calum A. MacRae, Rahul C. Deo, Shinichi Goto, DiCarli Mf, Andreas A. Werdich

Machines can be readily trained to automate medical image interpretation, with the primary goal of replicating human capabilities. Here, we propose an alternative role: using machine learning to discover pragmatic imaging-based biomarkers by interpre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fa8e0774d73b15471e45b7b769178341
https://doi.org/10.1101/2021.02.07.21251025

Artificial intelligence-enabled event adjudication: estimating delayed cardiovascular effects of respiratory viruses

Autor: Max Homilius, Andreas A. Werdich, Calum A. MacRae, Alexander J. Blood, Brian H. Park, Jenine E. John, Rahul C. Deo, Shinichi Goto, James G. Truslow

Healthcare systems ideally should be able to draw lessons from historical data, including whether common exposures are associated with adverse clinical outcomes. Unfortunately, structured clinical data, such as encounter diagnostic codes in electroni

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::80b64fb64ad17e6d3378599eccb50d50
https://doi.org/10.1101/2020.11.12.20230706

A community computational challenge to predict the activity of pairs of compounds

Autor: Bansal, M, Yang, J, Karan, C, Menden, Mp, Costello, Jc, Tang, H, Xiao, G, Li, Y, Allen, J, Zhong, R, Chen, B, Kim, M, Wang, T, Heiser, Lm, Realubit, R, Mattioli, M, Alvarez, Mj, Shen, Y, Gallahan, D, Singer, D, Saez Rodriguez, J, Xie, Y, Stolovitzky, G, Califano, A, NCI DREAM Community: Jean Paul Abbuehl, NCI DREAM C. o. m. m. u. n. i. t. y., Jeffrey, Allen, Altman, Russ B., Shawn, Balcome, Mukesh, Bansal, Ana, Bell, Andreas, Bender, Bonnie, Berger, Jonathan, Bernard, Bieberich, Andrew A., Giorgos, Borboudakis, Andrea, Califano, Christina, Chan–, Beibei, Chen, Ting Huei Chen, Jaejoon, Choi, Luis Pedro Coelho, Costello, James C., Creighton, Chad J., Will, Dampier, Jo Davisson, V., Raamesh, Deshpande, Lixia, Diao, DI CAMILLO, Barbara, Murat, Dundar, Adam, Ertel, Cellworks, Group, Daniel, Gallahan, Goswami, Chirayu P., Assaf, Gottlieb, Gould, Michael N., Jonathan, Goya, Michael, Grau, Gray, Joe W., Heiser, Laura M., Hejase, Hussein A., Hoffmann, Michael F., Krisztian, Homicsko, Max, Homilius, Woochang, Hwang, Ijzerman, Adriaan P., Olli, Kallioniemi, Bilge, Karacali, Charles, Karan, Samuel, Kaski, Junho, Kim, Minsoo, Kim, Arjun, Krishnan, Junehawk, Lee, Young Suk Lee, Lenselink, Eelke B., Peter, Lenz, Lang, Li, Jun, Li, Yajuan, Li, Han, Liang, Michela, Mattioli, Menden, Michael P., John Patrick Mpindi, Myers, Chad L., Newton, Michael A., Overington, John P., Juuso, Parkkinen, Prill, Robert J., Jian, Peng, Richard, Pestell, Peng, Qiu, Bartek, Rajwa, Ronald, Realubit, Anguraj, Sadanandam, Julio Saez Rodriguez, Sambo, Francesco, Dinah, Singer, Gustavo, Stolovitzky, Arvind, Sridhar, Wei, Sun, Hao, Tang, Toffolo, GIANNA MARIA, Aydin, Tozeren, Troyanskaya, Olga G., Ioannis, Tsamardinos, van Vlijmen, Herman W. T., Tao, Wang, Wen, Wang, Wegner, Joerg K., Krister, Wennerberg, van Westen, Gerard J. P., Tian, Xia, Guanghua, Xiao, Yang, Xie, Jichen, Yang, Yang, Yang, Victoria, Yao, Yuan, Yuan, Haoyang, Zeng, Shihua, Zhang, Junfei, Zhao, Jian, Zhou, Rui, Zhong

Publikováno v: PMC

Recent therapeutic successes have renewed interest in drug combinations, but experimental screening approaches are costly and often identify only small numbers of synergistic combinations. The DREAM consortium launched an open challenge to foster the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6036fbfc7df321554faadce111f774d4
http://hdl.handle.net/1721.1/110181

Cocos: Constructing multi-domain protein phylogenies

Autor: John Wiedenhoeft, Sebastian Thieme, Christoph Standfuss, Ivan Kel, Max Homilius, Roland Krause

Publikováno v: PLoS Currents, 3, 1240. United States (2011).
PLoS Currents

Phylogenies of multi-domain proteins have to incorporate macro-evolutionary events, which dramatically increases the complexity of their construction. We present an application to infer ancestral multi-domain proteins given a species tree and domain

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5556b3a1ead2e9aab2725331e0cb2c6c
http://orbilu.uni.lu/handle/10993/908