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genetic disease


Deep Learning AI Scientist

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What if…you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies in order to transform health care and sustainability? Radial Therapeutics, Inc. is a privately held, well-funded, early-stage biotechnology company leveraging novel insights in RNA biology. Radial Therapeutics's proprietary platform identifies novel disease targets and develops new therapeutic modalities targeting RNA, providing new strategies to treat or cure a range of diseases including rare genetic diseases, neurological diseases, and cancers. Radial Therapeutics, Inc. was founded in Flagship's venture creation engine, where companies such as Moderna Therapeutics (NASDAQ: MRNA), Rubius Therapeutics (NASDAQ: RUBY), and Editas Medicines (NASDAQ: EDIT) were conceived and created. Since Flagship's founding in 2000, the firm has originated and fostered the development of more than 100 scientific ventures, resulting in over $34 billion in aggregate value, 500 issued patents, and more than 50 clinical trials for novel therapeutic agents.


AI Detects Autism Speech Patterns Across Different Languages - AI Summary

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Summary: Machine learning algorithms help researchers identify speech patterns in children on the autism spectrum that are consistent between different languages. The data used to train the algorithm were recordings of English- and Cantonese-speaking young people with and without autism telling their own version of the story depicted in a wordless children's picture book called "Frog, Where Are You?" "Using this method, we were able to identify features of speech that can predict the diagnosis of autism," said Lau, a postdoctoral researcher working with Losh in the Roxelyn and Richard Pepper Department of Communication Sciences and Disorders at Northwestern. Finally, the results of the study could inform efforts to identify and understand the role of specific genes and brain processing mechanisms implicated in genetic susceptibility to autism, the authors said. Using a supervised machine-learning analytic approach, we examined acoustic features relevant to rhythmic and intonational aspects of prosody derived from narrative samples elicited in English and Cantonese, two typologically and prosodically distinct languages. Summary: Machine learning algorithms help researchers identify speech patterns in children on the autism spectrum that are consistent between different languages.


La veille de la cybersécurité

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A new study led by Northwestern University researchers used machine learning--a branch of artificial intelligence--to identify speech patterns in children with autism that were consistent between English and Cantonese, suggesting that features of speech might be a useful tool for diagnosing the condition. Undertaken with collaborators in Hong Kong, the study yielded insights that could help scientists distinguish between genetic and environmental factors shaping the communication abilities of people with autism, potentially helping them learn more about the origin of the condition and develop new therapies.


AI detects autism speech patterns across different languages

#artificialintelligence

A new study led by Northwestern University researchers used machine learning--a branch of artificial intelligence--to identify speech patterns in children with autism that were consistent between English and Cantonese, suggesting that features of speech might be a useful tool for diagnosing the condition. Undertaken with collaborators in Hong Kong, the study yielded insights that could help scientists distinguish between genetic and environmental factors shaping the communication abilities of people with autism, potentially helping them learn more about the origin of the condition and develop new therapies. Children with autism often talk more slowly than typically developing children, and exhibit other differences in pitch, intonation and rhythm. But those differences (called "prosodic differences'" by researchers) have been surprisingly difficult to characterize in a consistent, objective way, and their origins have remained unclear for decades. However, a team of researchers led by Northwestern scientists Molly Losh and Joseph C.Y. Lau, along with Hong Kong-based collaborator Patrick Wong and his team, successfully used supervised machine learning to identify speech differences associated with autism. The data used to train the algorithm were recordings of English- and Cantonese-speaking young people with and without autism telling their own version of the story depicted in a wordless children's picture book called "Frog, Where Are You?" The results were published in the journal PLOS One on June 8, 2022.


AI detects autism speech patterns across different languages

#artificialintelligence

Northwestern University researchers used machine learning — a branch of artificial intelligence — to identify speech patterns in children with autism that were consistent between English and Cantonese, suggesting that features of speech might be a useful tool for diagnosing the condition.


Dogs have two gene mutations that explain why they are friendly

New Scientist

Dogs may have developed the social skills to interact with humans in part due to mutations in a stress-response gene. The team chose the four genes – oxytocin (OT), oxytocin receptor (OTR), melanocortin 2 receptor (MC2R) and a gene called WBSCR17 – because they are all involved in how dogs respond to stress. "Dogs' social cognitive abilities are thought to have been acquired as a by-product of mutations of the stress response," says Nagasawa. After looking at the dogs' genes, the team gave the animals two tasks to test their interactions with humans. In the first, the animals were trained to find food hidden under one of two bowls.


Is THIS how dogs became man's best friend? Gene mutations made pups more comfortable with humans

Daily Mail - Science & tech

Dogs were first domesticated around 29,000 years ago and have since become one of the most popular species of companion animals around the world. But until now, exactly why the animals became'man's best friend' has remained unclear. Now, scientists from Azabu University in Japan believe they have the answer, having discovered two key gene mutations in dogs. These mutations may have played a role in their domestication by lowering stress and making pups more comfortable interacting with humans, according to the team. Researchers from Duquesne University in Pittsburgh recently found that dogs have similar muscles in their faces to humans, allowing them to form facial expressions close to our own.


Why Healthcare Is Still Not Ready For Artificial Intelligence?

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The debates surrounding AI's growing involvement in healthcare have seemingly been going on forever. While machine intelligence, on current evidence, could play a pivotal role in transforming the field, is it too reckless to let AI permeate healthcare in absolute terms? In a utopian world, health experts will be (more or less) replaced by ultra-intelligent machines in hospitals. Futuristic surgical robots will have the ability to fix any deformity or wound in the human body without being closely monitored during an operation. AI would have figured out a way to diagnose and cure health conditions that victimize individuals only belonging to certain nationalities or ethnicities.


AI transformer models touted to help design new drugs

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Special report AI can study chemical molecules in ways scientists can't comprehend, automatically predicting complex protein structures and designing new drugs, despite having no real understanding of science. The power to design new drugs at scale is no longer limited to Big Pharma. Startups armed with the right algorithms, data, and compute can invent tens of thousands of molecules in just a few hours. New machine learning architectures, including transformers, are automating parts of the design process, helping scientists develop new drugs for difficult diseases like Alzheimer's, cancer, or rare genetic conditions. In 2017, researchers at Google came up with a method to build increasingly bigger and more powerful neural networks.


Have You Heard? AI Can Edit Genes Now

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Artificial intelligence does all kinds of things….genomics Genetic engineering has always been a go-to plot twist in sci-fi movies and TV shows. The idea of genetically mutated humans with superior abilities and unique DNAs still has ripple effects on Marvel fans and box offices. But what if we can alter genes in real life? CRISPR gene editing has been doing that since 2012 (no Wolverine or Magneto though). In 2022, this powerful genetic engineering technique is complemented with artificial intelligence.