Uta Frith seems remarkably cheerful and content for someone who's spent six decades trying and failing to get to grips with her life's obsession. "Very little has stood the test of time," she tells me as we sit down in her living room in a leafy estate in Harrow-on-the-Hill, London. Around us, high-ceilinged walls papered in a luxurious red print are barely visible between rammed bookshelves, several model brains and a collection of abstract art. Frith has been searching for the mechanisms that underpin the enigmatic condition of autism ever since she first met profoundly autistic children in the late 1960s. "We could identify them intuitively, but not really scientifically - and I have to say that this is, unfortunately, still the case." Still, Frith's influence on our ever-shifting understanding of autism has been monumental.

Schwan Park, father of speed cuber Max Park, 21, tells Fox News Digital the story of his son's record-breaking achievement with Rubik's Cube: "We always knew he was good," he said. A mom of a child with autism is assuring other parents that their autistic children "do not need to be fixed" -- rather, they need to be better understood. Kelley Coleman, author of the upcoming book, "Everything No One Tells You About Parenting a Disabled Child," is encouraging other parents not to be afraid of seeking out diagnoses. "All that will do is keep us from being able to enable our children to be the best version of themselves," the Los Angeles-based mother of two said in an interview with Fox News Digital. Coleman's comments come as documented cases of autism spectrum disorder (ASD) have been on the rise.

Autism, also known as Autism Spectrum Disorder (or ASD), is a neurological disorder. Its main symptoms include difficulty in (verbal and/or non-verbal) communication, and rigid/repetitive behavior. These symptoms are often indistinguishable from a normal (control) individual, due to which this disorder remains undiagnosed in early childhood leading to delayed treatment. Since the learning curve is steep during the initial age, an early diagnosis of autism could allow to take adequate interventions at the right time, which might positively affect the growth of an autistic child. Further, the traditional methods of autism diagnosis require multiple visits to a specialized psychiatrist, however this process can be time-consuming. In this paper, we present a learning based approach to automate autism diagnosis using simple and small action video clips of subjects. This task is particularly challenging because the amount of annotated data available is small, and the variations among samples from the two categories (ASD and control) are generally indistinguishable. This is also evident from poor performance of a binary classifier learned using the cross-entropy loss on top of a baseline encoder. To address this, we adopt contrastive feature learning in both self supervised and supervised learning frameworks, and show that these can lead to a significant increase in the prediction accuracy of a binary classifier on this task. We further validate this by conducting thorough experimental analyses under different set-ups on two publicly available datasets.

More than 1.3 million Californians may be drinking high levels of manganese, enough to cause cognitive disabilities in children and Parkinson's-like symptoms in adults. The discovery was made by researchers at the University of California - Riverside (UCR), who discovered the mineral is thriving in untreated wells throughout Central Valley. The study found private wells and public water systems, with nearly half of the affected residents living in disadvantaged communities - almost 89 percent are likely to access water highly contaminated with manganese. While manganese is found in water supplies worldwide, the US is one of the only nations not enforcing a maximum level. The research comes as the University of Los Angeles may have uncovered a link between lithium in drinking water and autism.

According to observations, children with autism frequently speak more slowly than similarly developing kids. They differ in their speech in other ways, most notably in tone, intonation, and rhythm. It is very challenging to consistently and objectively describe these "prosodic" distinctions, and it has been decades since their roots have been identified. Researchers from Northwestern University and Hong Kong collaborated on a study to shed light on the causes and diagnoses of this illness. This method uses machine learning to find speech patterns in autistic children that are similar in Cantonese and English.

A published article in the journal PLOS One led researchers at UT Southwestern Medical Center to the identification of biomarkers in the blood that may result in a quicker diagnosis of autism spectrum disorder (ASD) among children. During their study, researchers uncovered nine serum proteins with the ability to predict the onset of autism. "Serum samples from 76 boys with ASD and 78 typically developing (TD) boys, 18 months-8 years of age, were analyzed to identify possible early biological markers for ASD," said Laura Hewitson, and her colleagues, in their findings. A total of 1,125 proteins were analyzed. There were 86 downregulated proteins and 52 upregulated proteins in ASD." Using a form of artificial intelligence, known as machine learning, nine proteins were established to be significantly correlated with autism. "Using machine learning methods, a panel of serum proteins was identified that may be useful as a blood biomarker for ASD in boys.

While the number of children with diagnosed autism spectrum disorder (ASD) continues to rise from year to year, there is still no universal approach to autism diagnosis and treatment. A great variety of different tools and approaches for the on-site diagnostic are available right now, however, a big percent of parents have no access to them and they tend to search for the available tools and correction programs on the Internet. Lack of money, absence of qualified specialists, and low level of trust to the correction methods are the main issues that affect the in-time diagnoses of ASD and which need to be solved to get the early treatment for the little patients. Understanding the importance of this issue our team decided to investigate new methods of the online autism diagnoses and develop the algorithm that will be able to predict the chances of ASD according to the information from the gaze activity of the child. The results that we got during the experiments show supported our idea that eye-tracking technology is one of the most promising tools for the early detection of the eye-movement features that can be markers of the ASD. Moreover, we have conducted a series of experiments to ensure that our approach has a reliable result on the cheap webcam systems. Thus, this approach can be used as an additional first screening tool for the home monitoring of the early child development and ASD connected disorders monitoring. The further development of eye-tracking based autism diagnosis has a big potential of usage and can be further implemented in the daily practice for practical specialists and parents.

Yuan Luo, PhD, associate professor of Preventive Medicine in the Division of Health and Biomedical Informatics, was co-first author of the study published in Nature Medicine. A novel precision medicine approach enhanced by artificial intelligence (AI) has laid the groundwork for what could be the first biomedical screening and intervention tool for a subtype of autism, according to a new study from Northwestern University, Ben Gurion University, Harvard University and the Massachusetts Institute of Technology, published in Nature Medicine. "Previously, autism subtypes have been defined based on symptoms only -- autistic disorder, Asperger syndrome, etc. -- and they can be hard to differentiate, as it is really a spectrum of symptoms," said Yuan Luo, PhD, associate professor of Preventive Medicine in the Division of Health and Biomedical Informatics and co-first author of the study. "The autism subtype characterized by abnormal lipid levels identified in this study is the first multidimensional evidenced-based subtype that has distinct molecular features and a testable mechanism for intervention." Luo is also chief AI officer at the Northwestern University Clinical and Translational Sciences (NUCATS) Institute and the Institute for Augmented Intelligence in Medicine.

When Grayson Kollins was two and a half years old--just shortly after the birth of his younger sister--his parents noticed that he had all but stopped uttering the sentences and phrases that up until then he had been using to communicate. In addition, his daycare provider mentioned that Grayson had begun repeating phrases over and over, and lacked interest in playing with other children. Grayson's father Scott Kollins, Ph.D., a clinical psychologist and professor of psychiatry and behavioral sciences in the School of Medicine at Duke, was well aware of the symptoms of autism spectrum disorder, or ASD, a neurodevelopmental disorder that affects the ability to socially interact and communicate with others. Although it usually manifests early in life, it is a lifelong condition and can have profound effects on learning, employment, and personal relationships. Prompted by these early symptoms, Grayson's parents subsequently had him assessed, and he received a clinical diagnosis of ASD.

When Grayson Kollins was two and a half years old--just shortly after the birth of his younger sister--his parents noticed that he had all but stopped uttering the sentences and phrases that up until then he had been using to communicate. In addition, his daycare provider mentioned that Grayson had begun repeating phrases over and over, and lacked interest in playing with other children. Grayson's father Scott Kollins, Ph.D., a clinical psychologist and professor of psychiatry and behavioral sciences in the School of Medicine at Duke, was well aware of the symptoms of autism spectrum disorder, or ASD, a neurodevelopmental disorder that affects the ability to socially interact and communicate with others. Although it usually manifests early in life, it is a lifelong condition and can have profound effects on learning, employment, and personal relationships. Prompted by these early symptoms, Grayson's parents subsequently had him assessed, and he received a clinical diagnosis of ASD.