1. AI-assisted prediction of differential response to antidepressant classes using electronic health records.2023; 6: 73.Published online 2023 Apr 26
2. Combining machine learning algorithms for prediction of antidepressant treatment response.  2021 Jan; 143(1): 36–49.Published online 2020 Nov 27
3. The American Sequenced Treatment Alternatives to Relieve Depression (STAR*D) database and European counterparts as the German research network on depression (GRND) or Group for Studies of Resistant Depression (GSRD), enabled progress in predicting treatment outcome on the individual patient level.
4. The R&D department grouped and analyzed the findings of researchers who used data from the Research Patient Data Registry. The RPDR database includes more than 7 million patients with over 3 billion records seen across seven hospitals, including two major teaching hospitals: Massachusetts General Hospital and Brigham and Women’s Hospital. 
5. What are the treatment remission, response and extent of improvement rates after up to four trials of antidepressant therapies in real-world depressed patients? A reanalysis of the STAR*D study's patient-level data with fidelity to the original research protocol

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