Gustavo Turecki

According to our database, Gustavo Turecki authored at least 5 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study.

David Benrimoh, Caitrin Armstrong, Joseph Mehltretter, Robert Fratila, Kelly Perlman, Sonia Israel, Adam Kapelner, Sagar V. Parikh, Jordan F. Karp, Katherine A. Heller, Gustavo Turecki

CoRR, 2024

2023

Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies.

David Benrimoh, Akiva Kleinerman, Toshi A. Furukawa, Charles F. Reynolds III, Eric Lenze, Jordan F. Karp, Benoit H. Mulsant, Caitrin Armstrong, Joseph Mehltretter, Robert Fratila, Kelly Perlman, Sonia Israel, Myriam Tanguay-Sela, Christina Popescu, Grace Golden, Sabrina Qassim, Alexandra Anacleto, Adam Kapelner, Ariel Rosenfeld, Gustavo Turecki

CoRR, 2023

2021

Identification of Suicidal Ideation in the Canadian Community Health Survey - Mental Health Component Using Deep Learning.

Sneha Desai, Myriam Tanguay-Sela, David Benrimoh, Robert Fratila, Donald E. Brown, Kelly Perlman, Ann John, Marcos del Pozo-Baños, Nancy Low, Sonia Israel, Lisa Palladini, Gustavo Turecki

Frontiers Artif. Intell., 2021

Deep feature extraction of single-cell transcriptomes by generative adversarial network.

Mojtaba Bahrami, Malosree Maitra, Corina Nagy, Gustavo Turecki, Hamid R. Rabiee, Yue Li

Bioinform., 2021

2019

Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression.

Joseph Mehltretter, Colleen Rollins, David Benrimoh, Robert Fratila, Kelly Perlman, Sonia Israel, Marc Miresco, Marina Wakid, Gustavo Turecki

Frontiers Artif. Intell., 2019