I hate the puzzle. As a mom and a data-driven person, I don’t understand why we cannot solve for the autism puzzle when 1 in 59 children in the US are diagnosed with autism and the diagnoses are increasing exponentially. I hear it’s so variable, so multi-factorial and if you meet one individual on the spectrum, you meet one person on the spectrum. True. But have we ever shied away for solving for multi-faceted problems for brands who were willing to pay hundreds of thousands of dollars for a single measurement project? I would argue that we do have the statistical skills and life science knowledge to solve for autism. We lack the data.
We lack the kind of robust datasets that connect the dots between all that our children are exposed to and all that they show and do. When we have these threads of data, we can test for a myriad of variances simultaneously leveraging AI driven data science platforms. While a typical scientific study may be testing 1-5 hypotheses, we can go through 100s of hypotheses with AI in one study and quickly improve upon our knowledge.
My hope is for organizations such as the NJ Autism Center of Excellence, Albert Einstein College of Medicine, Duke University, Epidemic Answers and others (e.g., ABA agencies) who are at the frontiers of this issue to be able to pool the data we need in this field. We need to understand why our children are having sensory motor issues that lead to behaviors. We need to tease out the environment’s impact on autism. And we need to empower our practitioners to optimize on therapies (ABA, speech, OT) and alternative interventions (homeopathy, neuro feedback, acupressure, etc. ) so that our children can have happy, productive lives.