How citochrome helps you

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Provide your doctor with the precise clinical insights they need to confidently choose your best treatment.

Eliminate medical guesswork.

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

Important information

By using the citochrome.com website you agree to the terms of service and privacy policy located below. To the extent allowed by applicable law, the citochrome service is provided to you "as is" and without any warranty, express or implied. The information in this Report is for informational and educational purposes only. It is not intended for direct diagnostic use or medical decision making without review by a healthcare provider. Individuals should not change their health behavior solely on the basis of information contained on this website. If you have questions about the information contained on this website, please see a health care professional. Limitations: This product assess the most informative predictors of response and remission. Results may change as research advances and permit us to better understand what these predictors mean for health. Numerous factors can affect response to a medicine, including gender, age, and diet. Not a diagnostic product.