Artificial Intelligence and Genetic Diagnostics

Artificial Intelligence, or AI, is quickly redefining the diagnostic process related to identifying disease-causing mutations in the human genome, including developmental disorders. Recently, a new tool has been developed by researchers at the Icahn School of Medicine at St. Sinai in New York that looks to not only identify disease-causing mutations, but also predict the type of disease those mutations may trigger. This method is known as V2P, or Variant to Phenotype, and it is designed to link genetic variants (mutations) with their likely phenotypic outcomes, that is, the diseases or traits a mutation may cause. 

For our clients, and their families, V2P technologies may have a profound effect not just on diagnosis, but on treatment. Certain genetic mutations have been found to be associated with disorders such as epilepsy, aphasia, and other developmental challenges. Additionally, progress is being made in connecting genetic mutations with neuro-behavioral manifestations related to autism spectrum disorder (ASD), attention deficit-hyperactivity disorder (ADHD), or dsylexia– to name a few. If doctors are able to effectively predict the possible neuro-behavioral profile of individuals with specific genetic mutations, clinicians focused on early intervention may be able to begin behavioral and developmental treatment earlier and with higher efficacy, leading to better outcomes for clients and their families. 

Despite its promise, implementing AI in clinical settings presents challenges relating to data privacy concerns and the risk of algorithmic bias. Additionally, just because genetic data may suggest neuro-behavioral outcomes related to genetic mutation does not mean any particular person should be determined or expected to behave in certain ways. The future direction of AI in diagnosing genetic developmental disabilities will likely involve a hybrid approach. In this model, AI tools will function as robust decision-support systems, significantly enhancing the judgment of clinicians rather than replacing them. As this technology continues to develop and regulatory frameworks evolve, AI is set to become an essential ally, helping ensure that all individuals with a genetic disorder receive a timely and precise diagnosis, as well as person-centered and individualized behavioral care. 

Reference:

https://www.mountsinai.org/about/newsroom/2025/new-ai-tool-identifies-not-just-genetic-mutatio ns-but-the-diseases-they-may-cause

Nicholas Lea, Behavior Specialist, Miren Behavior