Not logged in Description of a collaborative sperm whale birth and shifts in coda vocal styles during key events Aluma, Yaniv; Baron, Zethra; Barrett, Ricardo; Baumgartner, Courtney; Begus, Gasper; Bhattacharya, Sushmita; Bronstein, Michael M.; Dahan, Shlomi; Davis, Oscar; De Haas, Sarah; Defoe, Jullan; DelPreto, Joseph; Dessi, Roberto; Diamant, Roee; Gatesy, John; George, Kevin; Gero, Shane; Gibbons, Darren; Gibbons, Dean; Gil, Stephanie; Goldwasser, Shafi; Gruber, David F.; Harve, Odel; Hernandez, Alyssa; Ishay, Mapal; Jadhav, Ninad; Lakshyana, K. C.; Kenny, Aidan; Leitao, Antonio; Lucas, Maxime; Maalouf, Alaa; Malkin, Peter; Mevorach, Yaly; Pagani, Stefano; Paradise, Orr; Petri, Giovanni; Poetto, Simone; Rossi, Emanuele; Rus, Daniela; Salino-Hugg, Michael; Santoro, Andrea; Sharma, Pratyusha; Tchernov, Dan; Torralba, Antonio; Tonnesen, Pernille; Vogt, Daniel M.; Wood, Robert J. Share Save
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A 3D Clinical Face Phenotype Space of Genetic Syndromes Using a Triplet-Based Singular Geometric Autoencoder Mahdi, Soha S.; Caldeira, Eduarda; Matthews, Harold; Vanneste, Michiel; Nauwelaers, Nele; Yuan, Meng; Bouritsas, Giorgos; Baynam, Gareth S.; Hammond, Peter; Spritz, Richard; Klein, Ophir D.; Bronstein, Michael; Hallgrimsson, Benedikt; Peeters, Hilde; Claes, Peter Share Save
Structure-based drug design with equivariant diffusion models Schneuing, Arne; Harris, Charles; Du, Yuanqi; Didi, Kieran; Jamasb, Arian; Igashov, Ilia; Du, Weitao; Gomes, Carla; Blundell, Tom L.; Lio, Pietro; Welling, Max; Bronstein, Michael; Correia, Bruno Share Save
Exploring dark-matterprotein folds using deep learning Harteveld, Zander; Van Hall-Beauvais, Alexandra; Morozova, Irina; Southern, Joshua; Goverde, Casper; Georgeon, Sandrine; Rosset, Stephane; Defferrard, Micheal; Loukas, Andreas; Vandergheynst, Pierre; Bronstein, Michael M.; Correia, Bruno E. Share Save
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RECOVER identifies synergistic drug combinations in vitro through sequential model optimization Bertin, Paul; Rector-Brooks, Jarrid; Sharma, Deepak; Gaudelet, Thomas; Anighoro, Andrew; Gross, Torsten; Martinez-Pena, Francisco; Tang, Eileen L.; Suraj, M. S.; Regep, Cristian; Hayter, Jeremy B. R.; Korablyov, Maksym; Valiante, Nicholas; van der Sloot, Almer; Tyers, Mike; Roberts, Charles E. S.; Bronstein, Michael M.; Lairson, Luke L.; Taylor-King, Jake P.; Bengio, Yoshua Share Save
Genomic-driven nutritional interventions for radiotherapy-resistant rectal cancer patient Southern, Joshua; Gonzalez, Guadalupe; Borgas, Pia; Poynter, Liam; Laponogov, Ivan; Zhong, Yoyo; Mirnezami, Reza; Veselkov, Dennis; Bronstein, Michael; Veselkov, Kirill Share Save
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Multi-Scale Part-Based Syndrome Classification of 3D Facial Images Mahdi, Soha Sadat; Matthews, Harold; Nauwelaers, Nele; Vanneste, Michiel; Gong, Shunwang; Bouritsas, Giorgos; Baynam, Gareth S.; Hammond, Peter; Spritz, Richard; Klein, Ophir D.; Hallgrimsson, Benedikt; Peeters, Hilde; Bronstein, Michael; Claes, Peter Share Save
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Utilizing graph machine learning within drug discovery and development Gaudelet, Thomas; Day, Ben; Jamasb, Arian R.; Soman, Jyothish; Regep, Cristian; Liu, Gertrude; Hayter, Jeremy B. R.; Vickers, Richard; Roberts, Charles; Tang, Jian; Roblin, David; Blundell, Tom L.; Bronstein, Michael M.; Taylor-King, Jake P. Share Save
Network machine learning maps phytochemically rich Hyperfoods to fight COVID-19 Laponogov, Ivan; Gonzalez, Guadalupe; Shepherd, Madelen; Qureshi, Ahad; Veselkov, Dennis; Charkoftaki, Georgia; Vasiliou, Vasilis; Youssef, Jozef; Mirnezami, Reza; Bronstein, Michael; Veselkov, Kirill Share Save
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