We believe that our research will eventually lead to a better understanding of the biology of depression on the molecular level. Our mission is to build safe and accurate models for depression treatments that benefit all of humanity .
Antidepressants are one of the most used categories of medications, unfortunately, identifying the most effective treatment for a given person remains a trial-and-error proposition. That's why we developed a machine learning pipeline to determine how a person might respond to antidepressants using real world large-scale data.
Wellness To All
As a science based company, at citochrome we're using our platform to develop new products for individualized treatments based on the person's unique biology.
Biology of depression
With an ambitious plan to understand the biology of depression on the molecular level, we see machine learning as an important key in our success.
One of the many solutions we built and continue to develop and validate is citochrome wellness AI.
AI assisted machine learning
citochrome wellness AI incorporates a battery of prediction models with different levels of complexity, ranging from linear to highly non-linear models. AI assisted label curation, and other data analysis systems.
Better outcomes
The AI algorithm identifies which factors are important to the overall response and also calculates mean values to assess the overall directionality of the effect of each treatment.
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.
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