Unlock new possibilities in Precision Mental Health with AI research

If Not Now, When ? It is time to tackle World’s Mental health crisis

  • #1 Depression is the main cause of disability globally.

  • 70% of people who seek care receive little benefit

  • $1 Trillion is the annual loss to the global economy.

  • 20% of Americans experience a mental illness

Accelerating progress,
with the help of AI

awxyz.org is committing resources to fund solutions that accelerate progress towards the precision mental health research. Our mission is to create international public community for contributions and develop foundation AI models and open datasets for Precision Mental Health research.

Promote Mental Health

Artificial intelligence have the potential to revolutionize mental health care by providing more personalized and efficient treatment options, transform mental health care by providing more personalized and efficient treatment options.

Early Detection

Machine learning algorithms can analyze data from electronic health records, social media, and other sources to identify individuals at risk of developing mental health disorders before they exhibit symptoms. This can lead to earlier interventions and better outcomes. The application of AI accelerate progress towards the precision mental health , break through barriers, or reduce inefficiencies

Personalized Treatment

AI application can help clinicians develop individualized treatment plans based on a patient's specific symptoms, genetics, and other factors. This can improve the effectiveness of treatment and reduce the risk of negative side effects.

Large Language Models technology can be used to analyze text data, such as social media posts or chatbot conversations, to detect changes in mood or behavior and provide real-time support and guidance

Safe and Responsible Digital Therapeutics

AI-powered digital therapeutics, such as chatbots and mobile apps, can provide ongoing support and guidance to individuals with mental health disorders. These tools can be personalized to a patient's specific needs and preferences and can provide real-time feedback and insights to clinicians

However, it's important to ensure that these technologies are used ethically and responsibly to protect patient privacy and ensure that individuals receive the care and support they need.