Understanding the Invisible. From Networks to Transformations. Interview with Albert-László Barabási by Albert-László Barabási, Stefano Maffei

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Who Supports American Art Museums? Introducing a New Dataset and Data Sources about Museum Funding by Albert-László Barabási, Louis Shekhtman

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Reproducible science of science at scale: <i>pySciSci</i> by Alexander J. Gates, Albert-László Barabási

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Philanthropy in art: locality, donor retention, and prestige by Louis Michael Shekhtman, Albert-László Barabási

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The clinical trials puzzle: How network effects limit drug discovery by Kishore Vasan, Deisy Morselli Gysi, Albert-László Barabási

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Machine learning prediction of the degree of food processing by Giulia Menichetti, Babak Ravandi, Dariush Mozaffarian, Albert-László Barabási

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Accelerating network layouts using graph neural networks by Csaba Both, Nima Dehmamy, Rose Yu, Albert-László Barabási

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Mapping philanthropic support of science by Louis M. Shekhtman, Alexander J. Gates, Albert-László Barabási

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Predicting synthetic rescues in metabolic networks by Adilson E Motter, Natali Gulbahce, Eivind Almaas, Albert‐László Barabási

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Quantifying hierarchy and prestige in US ballet academies as social predictors of career success by Yessica Herrera-Guzmán, Alexander J. Gates, Cristian Candia, Albert-László Barabási

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Maximizing brain networks engagement via individualized connectome-wide target search by Arianna Menardi, Davide Momi, Antonino Vallesi, Albert-László Barabási, Emma K. Towlson, Emiliano Santarnecchi

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Fragmentation of outage clusters during the recovery of power distribution grids by Hao Wu, Xiangyi Meng, Michael M. Danziger, Sean P. Cornelius, Hui Tian, Albert-László Barabási

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MilkyBase, a database of human milk composition as a function of maternal-, infant- and measurement conditions by Tünde Pacza, Mayara L. Martins, Maha Rockaya, Katalin Müller, Ayan Chatterjee, Albert-László Barabási, József Baranyi

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Improving the generalizability of protein-ligand binding predictions with AI-Bind by Ayan Chatterjee, Robin Walters, Zohair Shafi, Omair Shafi Ahmed, Michael Sebek, Deisy Gysi, Rose Yu, Tina Eliassi-Rad, Albert-László Barabási, Giulia Menichetti

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Visualizing novel connections and genetic similarities across diseases using a network-medicine based approach by Brian Ferolito, Italo Faria do Valle, Hanna Gerlovin, Lauren Costa, Juan P. Casas, J. Michael Gaziano, David R. Gagnon, Edmon Begoli, Albert-László Barabási, Kelly Cho

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Network-medicine framework for studying disease trajectories in U.S. veterans by Italo Faria do Valle, Brian Ferolito, Hanna Gerlovin, Lauren Costa, Serkalem Demissie, Franciel Linares, Jeremy Cohen, David R. Gagnon, J. Michael Gaziano, Edmon Begoli, Kelly Cho, Albert-László Barabási

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Identification of potent inhibitors of SARS-CoV-2 infection by combined pharmacological evaluation and cellular network prioritization by J.J. Patten, Patrick T. Keiser, Deisy Morselli-Gysi, Giulia Menichetti, Hiroyuki Mori, Callie J. Donahue, Xiao Gan, Italo do Valle, Kathleen Geoghegan-Barek, Manu Anantpadma, RuthMabel Boytz, Jacob L. Berrigan, Sarah H. Stubbs, Tess Ayazika, Colin O’Leary, Sallieu Jalloh, Florence Wagner, Seyoum Ayehunie, Stephen J. Elledge, Deborah Anderson, Joseph Loscalzo, Marinka Zitnik, Suryaram Gummuluru, Mark N. Namchuk, Albert-László Barabási, Robert A. Davey

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Assessment of community efforts to advance network-based prediction of protein–protein interactions by Xu-Wen Wang, Lorenzo Madeddu, Kerstin Spirohn, Leonardo Martini, Adriano Fazzone, Luca Becchetti, Thomas P. Wytock, István A. Kovács, Olivér M. Balogh, Bettina Benczik, Mátyás Pétervári, Bence Ágg, Péter Ferdinandy, Loan Vulliard, Jörg Menche, Stefania Colonnese, Manuela Petti, Gaetano Scarano, Francesca Cuomo, Tong Hao, Florent Laval, Luc Willems, Jean-Claude Twizere, Marc Vidal, Michael A. Calderwood, Enrico Petrillo, Albert-László Barabási, Edwin K. Silverman, Joseph Loscalzo, Paola Velardi, Yang-Yu Liu

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An inter‐species protein–protein interaction network across vast evolutionary distance by Quan Zhong, Samuel J Pevzner, Tong Hao, Yang Wang, Roberto Mosca, Jörg Menche, Mikko Taipale, Murat Taşan, Changyu Fan, Xinping Yang, Patrick Haley, Ryan R Murray, Flora Mer, Fana Gebreab, Stanley Tam, Andrew MacWilliams, Amélie Dricot, Patrick Reichert, Balaji Santhanam, Lila Ghamsari, Michael A Calderwood, Thomas Rolland, Benoit Charloteaux, Susan Lindquist, Albert‐László Barabási, David E Hill, Patrick Aloy, Michael E Cusick, Yu Xia, Frederick P Roth, Marc Vidal

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Genomics and phenomics of body mass index reveals a complex disease network by Jie Huang, Jennifer E. Huffman, Yunfeng Huang, Ítalo Do Valle, Themistocles L. Assimes, Sridharan Raghavan, Benjamin F. Voight, Chang Liu, Albert-László Barabási, Rose D. L. Huang, Qin Hui, Xuan-Mai T. Nguyen, Yuk-Lam Ho, Luc Djousse, Julie A. Lynch, Marijana Vujkovic, Catherine Tcheandjieu, Hua Tang, Scott M. Damrauer, Peter D. Reaven, Donald Miller, Lawrence S. Phillips, Maggie C. Y. Ng, Mariaelisa Graff, Christopher A. Haiman, Ruth J. F. Loos, Kari E. North, Loic Yengo, George Davey Smith, Danish Saleheen, J. Michael Gaziano, Daniel J. Rader, Philip S. Tsao, Kelly Cho, Kyong-Mi Chang, Peter W. F. Wilson, VA Million Veteran Program, Yan V. Sun, Christopher J. O’Donnell

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