The role of epidemiology in studying autism rates and planning prevention strategies is highlighted. The article points out that studying the effects of changing environmental factors on autism is a complex task. It mentions a study that found no direct link between maternal antidepressant medication during pregnancy and increased autism risk.
The use of machine learning and artificial intelligence in identifying risk patterns in complex data is also mentioned. The article concludes by emphasizing the importance of precise measurement and timing of exposures in understanding autism risk periods and exposures.
It highlights the valuable insights gained from research on early life exposure to toxic metals using baby teeth, suggesting that further research can lead to new treatments or prevention strategies.
Learn more about the Seaver Autism Center at www.seaverautismcenter.org