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Atom-level machine learning of protein-glycan interactions and cross-chiral recognition in glycobiology Carpenter, Eric J.; Peng, Chuanhao; Haregu, Simatsidk; Twells, Nicholas; Woudstra, Logan; Sood, Amika; Cartmell, Jonathan; Woods, Robert J.; Mahal, Lara K.; Wang, Sheng-Kai; Greiner, Russell; Derda, Ratmir Share Save
Comprehensive analysis platform to understand, remedy, and eliminate amyotrophic lateral sclerosis (CAPTURE ALS): Study protocol for a Canadian multicenter, multimodal, longitudinal observational study Saunders, Natalie; Magnussen, Claire; Kang, HyungMo; Blais, Mathieu; Bhinder, Harpreet; Pfeffer, Gerald; Genuis, Shelagh K.; Bouvier, Liziane; Anand, Tanushka; Abou-Haidar, Rida; Abrahao, Agessandro; Boivin, Marie-Noelle; Bowser, Robert; Bubela, Tania; Chiappini, Julia; Das, Samir; Dhanoa, Avnit; Dupre, Nicolas; Evans, Alan; Ferry, Nicolas; Frater, Yvonne; Genge, Angela; Graham, Simon J.; Greiner, Russell; Medina, Yasser Iturria; Johnston, Wendy S.; Jones, Kelvin E.; Karamchandani, Jason; Kriz, Jasna; Luth, Westerly; Matte, Genevieve; Rogaeva, Ekaterina; Robertson, Janice; Seres, Peter; Tam, Fred; Taylor, David; Tremblay-Desbiens, Clemence; Velde, Christine Vande; Yunusova, Yana; Zinman, Lorne; Kalra, Sanjay Share Save
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Using machine learning to predict clinical remission with exclusive enteral nutrition in pediatric Crohn disease Suarez, Ricardo G. Suarez; McClement, Daniel G.; Vega, Roberto; Huynh, Hien Q.; Shaikh, Ayub; Otley, Anthony; Jacobson, Kevan; Sherlock, Mary; Mack, David R.; Deslandres, Colette; El-matary, Wael; Crowley, Eileen; deBruyn, Jennifer; Walters, Thomas; Griffiths, Anne M.; Greiner, Russell; Wine, Eytan Share Save
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Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level Kalmady, Sunil Vasu; Salimi, Amir; Sun, Weijie; Sepehrvand, Nariman; Nademi, Yousef; Bainey, Kevin; Ezekowitz, Justin; Hindle, Abram; Mcalister, Finlay; Greiner, Russel; Sandhu, Roopinder; Kaul, Padma Share Save
Deep Learning-Enabled MS/MS Spectrum Prediction Facilitates Automated Identification Of Novel Psychoactive Substances Wang, Fei; Pasin, Daniel; Skinnider, Michael A.; Liigand, Jaanus; Kleis, Jan-Niklas; Brown, David; Oler, Eponine; Sajed, Tanvir; Gautam, Vasuk; Harrison, Stephen; Greiner, Russell; Foster, Leonard J.; Dalsgaard, Petur Weihe; Wishart, David S. Share Save
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Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms Sun, Weijie; Kalmady, Sunil Vasu; Sepehrvand, Nariman; Salimi, Amir; Nademi, Yousef; Bainey, Kevin; Ezekowitz, Justin A.; Greiner, Russell; Hindle, Abram; McAlister, Finlay A.; Sandhu, Roopinder K.; Kaul, Padma Share Save
Superior temporal gyrus functional connectivity predicts transcranial direct current stimulation response in Schizophrenia: A machine learning study Paul, Animesh Kumar; Bose, Anushree; Kalmady, Sunil Vasu; Shivakumar, Venkataram; Sreeraj, Vanteemar S. S.; Parlikar, Rujuta; Narayanaswamy, Janardhanan C. C.; Dursun, Serdar M. M.; Greenshaw, Andrew J. J.; Greiner, Russell; Venkatasubramanian, Ganesan Share Save
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