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How does autism prediction work?

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This podcast provides updates on studies that help with prediction of an autism diagnosis – which is important for preparing for the future and for intervening early. First, a study that uses environmental factors to create an equation for the probability of a diagnosis following a combination of of non-genetic factors only which does a fairly good, but not perfect, job at predicting a diagnosis. Second, a study that looks at the accuracy of a machine that predicts autism from eye gaze as early as 9 months of age and with only a 2 minute test. This one wasn’t as accurate as the one that takes longer and tests older kids, but it’s a first step. No ONE thing does a perfect job at predicting a diagnosis – it’s going to be a combination of things, tested over time and multiple times that will be most helpful at predicting a diagnosis. Both studies are open access!

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10904522/pdf/fpsyt-15-1291356.pdf

https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/38429348/

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Here’s what you won’t hear about that new JAMA study on Twitter

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A couple of weeks ago, a group in Australia published a study that investigated the efficacy of a “preemptive” intervention. That is, what happens if you provide support to parents to improve social communication, interaction and skills in infants before a diagnosis can be made? The results have a lot of meaningful implications of what interventions are possible at this age, how they can be delivered, and what it means to NOT receive an autism diagnosis but still show challenges. But the Twitter hive didn’t perceive it that way. This week I explain what the study did and didn’t do, and how it can help people across the spectrum.

Open access here: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8453361/