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Global / In the news- future of mental wellness / Choosing the right antidepressant

December 14 2024

By the citochrome Wellness AI team.

Reviewed by Ramzy Haddad, RPh, clinical outcomes.

A new take on depression

Numerous patients stop their treatment due to side effects.
AI is a promising method with an 85% success rate in predicting antidepressant response.
citochrome is using AI to personalize antidepressant treatment.

Even though antidepressant selection is largely a trial and error process, medications are not one size fits all. Your biology affects how your body responds to and breaks down medicine, an important factor in determining how well an antidepressant works or whether you’ll have side effects.

People stop the antidepressant early because of side effects and the perceived lack of effectiveness. Most are prescribed a drug which might work for an “average person”, but has not been tailored to them individually.

Finding the right antidepressant for the individual patient can be a difficult endeavor. Machine learning and AI are promising tools.

Machine learning and AI in medicine

In medicine, different Machine learning algorithms and AI have already been approved by the FDA. Machine learning can be used for diagnosis and treatment. For example, an algorithm has been developed that can reliably diagnose diabetic retinopathy, other algorithms help physicians in calculation of radiation dosage in radiotherapy or insulin dosage in type-1 diabetes

Machine learning and AI are also a promising tool for prediction of response to antidepressants, aiding in a more precise choice of antidepressant medication.

How is citochrome different?

citochrome uses AI to optimize antidepressant treatment by analyzing user data, and data from the largest depression study ever conducted; 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).

Our aim is to assist you and your provider select the antidepressant that will most likely help you feel better faster.

Concerned about privacy? So are we.

citochrome is built with your privacy in mind. Here are few commonly asked questions.

How will citochrome use my personal data?

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We collect Your form submission data when you submit the form. Your form submission data and your email address will be processed by us. This information is used to identify you, provide you with the service, and communicate with you.
The data we collect is also used for research and development (R&D) and quality assurance departments to ensure accuracy of results and to develop new products.

How long will citochrome keep my personal data?

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We will keep your Personal Information for business purposes including any legal, professional, accounting or reporting requirements. We use a third party payment processor to collect and process your payments on our behalf. We do not process or maintain your financial information on our systems or servers.

The data collected for the evaluation form to perform the service will be deleted in 14 days after the service is rendered and reviewed by quality control.

How does citochrome protect my personal data?

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We maintain reasonable and appropriate safeguards to protect your Personal Information. One of the principal security features of our applications, that we use two separate systems, none have all the information.

References:

This is a partial list of research papers used by our R&D department.

S. Benjamens, P. Dhunnoo, B. MeskoThe state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database NPJ Digit Med, 3 (2020)

M. Sajjadian, et al.Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis Psychol Med, 51 (2021), pp. 2742-2751

Y. Lee, et al.Applications of machine learning algorithms to predict therapeutic outcomes in depression: a meta-analysis and systematic review J Affect Disord, 241 (2018), pp. 519-532

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