Myogenic differentiation of primary myoblasts and mesenchymal stromal cells under serum-free conditions on PCL-collagen I-nanoscaffolds

Autor: Aijia Cai, Moritz Hardt, Paul Schneider, Rafael Schmid, Claudia Lange, Dirk Dippold, Dirk W. Schubert, Anja M. Boos, Annika Weigand, Andreas Arkudas, Raymund E. Horch, Justus P. Beier

Publikováno v: BMC Biotechnology, Vol 18, Iss 1, Pp 1-12 (2018)

Abstract Background The creation of functional skeletal muscle via tissue engineering holds great promise without sacrificing healthy donor tissue. Different cell types have been investigated regarding their myogenic differentiation potential under t

Externí odkaz: https://doaj.org/article/3bcf16a3012c4592a5122d29a8574515

Measuring the predictability of life outcomes with a scientific mass collaboration

Autor: Kristin E. Porter, Malte Möser, Flora Wang, Bingyu Zhao, Wei Lee Woon, Yoshihiko Suhara, Adaner Usmani, Erik H. Wang, Kun Jin, Samantha Weissman, William Eggert, Hamidreza Omidvar, Andrew Or, Lisa M Hummel, Gregory Faletto, Ben Sender, Qiankun Niu, Viola Mocz, Antje Kirchner, Catherine Wu, Karen Ouyang, Ian Lundberg, Allison C. Morgan, Abdulla Alhajri, Arvind Narayanan, Khaled AlGhoneim, Louis Raes, Ilana M. Horwitz, Barbara E. Engelhardt, Ben Leizman, Crystal Qian, Drew Altschul, Guanhua He, Jeanne Brooks-Gunn, Ridhi Kashyap, Eaman Jahani, Ryan James Compton, Anna Filippova, Sara McLanahan, Tejomay Gadgil, Claudia V. Roberts, Muna Adem, Julia Wang, Jeremy Freese, Alexander T. Kindel, Daniel E Rigobon, Naijia Liu, Lisa P. Argyle, Mayank Mahajan, Jonathan D Tang, Moritz Hardt, Ethan Porter, Diana Mercado-Garcia, Andrew Halpern-Manners, Anahit Sargsyan, Duncan J. Watts, Alex Pentland, Sonia P Hashim, Dean Knox, Onur Varol, Ryan Amos, James M. Wu, Thomas Davidson, Emma Tsurkov, Bernie Hogan, Areg Karapetyan, William Nowak, Jingwen Yin, Livia Baer-Bositis, Landon Schnabel, Chenyun Zhu, Noah Mandell, Ahmed Musse, Yue Gao, Josh Gagné, Stephen McKay, Jennie E. Brand, Abdullah Almaatouq, Katy M. Pinto, Andrew E Mack, Austin van Loon, Bedoor K. AlShebli, Helge Marahrens, Xiafei Wang, Bryan Schonfeld, Sonia Hausen, Kengran Yang, Maria Wolters, Brandon M. Stewart, Naman Jain, Moritz Büchi, Nicole Bohme Carnegie, Redwane Amin, Caitlin Ahearn, Kirstie Whitaker, Bo-Ryehn Chung, Diana Stanescu, Thomas Schaffner, Patrick Kaminski, David Jurgens, Kivan Polimis, Kimberly Higuera, Zhilin Fan, Matthew J. Salganik, Debanjan Datta, Connor Gilroy, E H Kim, Katariina Mueller-Gastell, Karen Levy, Brian J. Goode, Zhi Wang, Tamkinat Rauf

Publikováno v: PNAS
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 117(15), 8398-8403. NATL ACAD SCIENCES
Proc Natl Acad Sci U S A
Salganik, M J, Lundberg, I, Kindel, A T, Ahearn, C E, Al-ghoneim, K, Almaatouq, A, Altschul, D M, Brand, J E, Carnegie, N B, Compton, R J, Datta, D, Davidson, T, Filippova, A, Gilroy, C, Goode, B J, Jahani, E, Kashyap, R, Kirchner, A, Mckay, S, Morgan, A C, Pentland, A, Polimis, K, Raes, L, Rigobon, D E, Roberts, C V, Stanescu, D M, Suhara, Y, Usmani, A, Wang, E H, Adem, M, Alhajri, A, Alshebli, B, Amin, R, Amos, R B, Argyle, L P, Baer-bositis, L, Büchi, M, Chung, B, Eggert, W, Faletto, G, Fan, Z, Freese, J, Gadgil, T, Gagné, J, Gao, Y, Halpern-manners, A, Hashim, S P, Hausen, S, He, G, Higuera, K, Hogan, B, Horwitz, I M, Hummel, L M, Jain, N, Jin, K, Jurgens, D, Kaminski, P, Karapetyan, A, Kim, E H, Leizman, B, Liu, N, Möser, M, Mack, A E, Mahajan, M, Mandell, N, Marahrens, H, Mercado-garcia, D, Mocz, V, Mueller-gastell, K, Musse, A, Niu, Q, Nowak, W, Omidvar, H, Or, A, Ouyang, K, Pinto, K M, Porter, E, Porter, K E, Qian, C, Rauf, T, Sargsyan, A, Schaffner, T, Schnabel, L, Schonfeld, B, Sender, B, Tang, J D, Tsurkov, E, Van Loon, A, Varol, O, Wang, X, Wang, Z, Wang, J, Wang, F, Weissman, S, Whitaker, K, Wolters, M K, Woon, W L, Wu, J, Wu, C, Yang, K, Yin, J, Zhao, B, Zhu, C, Brooks-gunn, J, Engelhardt, B E, Hardt, M, Knox, D, Levy, K, Narayanan, A, Stewart, B M, Watts, D J & Mclanahan, S 2020, ' Measuring the predictability of life outcomes with a scientific mass collaboration ', Proceedings of the National Academy of Sciences, vol. 117, no. 15, pp. 8398-8403 . https://doi.org/10.1073/pnas.1915006117

© This open access article is distributed under Creative Commons Attribution-NonCommercialNoDerivatives License 4.0 (CC BY-NC-ND). How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e79e5a0edeb2b5d23585b10ea4b178d
https://doi.org/10.1073/pnas.1915006117

Generalization in Overparameterized Models

Autor: Moritz Hardt

Publikováno v: Beyond the Worst-Case Analysis of Algorithms

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b5f56ab3d679ef90063715d1acc7d8b
https://doi.org/10.1017/9781108637435.028

Explaining an increase in predicted risk for clinical alerts

Autor: Claire Cui, Alvin Rajkomar, Andrew M. Dai, Greg S. Corrado, Michaela Hardt, Gerardo Flores, Moritz Hardt, Michael D. Howell

Publikováno v: CHIL

Much work aims to explain a model's prediction on a static input. We consider explanations in a temporal setting where a stateful dynamical model produces a sequence of risk estimates given an input at each time step. When the estimated risk increase

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2d363412f034d0a582f9d804025a626
https://doi.org/10.1145/3368555.3384460

Delayed Impact of Fair Machine Learning

Autor: Esther Rolf, Max Simchowitz, Lydia T. Liu, Moritz Hardt, Sarah Dean

Publikováno v: IJCAI

Fairness in machine learning has predominantly been studied in static classification settings without concern for how decisions change the underlying population over time. Conventional wisdom suggests that fairness criteria promote the long-term well

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7caef80541f0a946b09b56a908a7eab
https://doi.org/10.24963/ijcai.2019/862