I have an urgent request for moving mental health research forward. Cure Brain Disease has submitted a proposal to “ARPA-H Dash to Accelerate Health Outcomes” which is an online competition to identify revolutionary ideas to transform health. We have made it to the third round of the judging competition, and have entered into the fourth round. This is the public voting round, and we really need your vote!
The round closes on this Thursday, May 4th, so please vote.
Here is the link to register to sign up so you can place your vote.
There are 4 focus areas, and we are in “Resilient Systems”. The title of our proposal is “Mental Health Moonshot!” You’ll need to click on VOTE in the upper center of the screen, and scroll through by clicking ‘Skip’ for each head to head pairing until you come to our pairing entry. Please click ‘Select’ for Mental Health Moonshot!, and then make sure to click, ‘Vote’. We’d love it if you go to our page and click Good Evidence.
If you would, please share with anyone you would like. So you’ll know before going on, I’ve included a copy of our proposal. (below)
Title: Mental Health Moonshot!
Proposed Health Transformation:We propose serious mental disorders be researched and treated as individually distinct diseases utilizing genetic/epigenetic studies with the goal of developing novel, targeted treatments and cures.
Current Implementation:Current treatments rely heavily on subjective feedback and outdated medications to hopefully manage symptoms. This leaves no prospect of finding cures based on the molecular causes of brain disorders
What’s New: Serious mental disorders share common genetic roots, yet each disorder presents differently per individual. Aim – Identify biomarkers of shared disorder populations, followed by epigenetic studies.
Evidence Statement: Major mental disorders such as schizophrenia bipolar disorder and major depressive disorder share common genetic roots but each disorder presents differently in each individual.
Evidence Citation: Distinctness of mental disorders traced to differences in gene readouts