Defense lawyers say FTX founder Sam Bankman-Fried can't adequately prepare for trial in six weeks while in jail without proper access to computers, necessary medications to help him concentrate, and a better diet than bread, water and peanut butter
Researchers are proposing using artificial intelligence technology to help diagnose autism spectrum disorder.
In a exact article published in Scientific Reports, researchers from Brazil, France and Germany reportedly used magnetic resonance imaging to train a machine learning algorithm.
The work – in which the "quantitative diagnostic method" is proposed – was based on brain imaging data for 500 people, with more than 240 that had been diagnosed with autism.
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Machine learning techniques were applied to the data.
"We began developing our methodology by collecting functional magnetic resonance imaging [fMRI] and electroencephalogram [EEG] data," Francisco Rodrigues, the last author of the article and a professor at the University of São Paulo’s Institute of Mathematics and Computer Science, explained in a statement.
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"We compared maps of people with and without ASD and found that diagnosis was possible using this methodology," he added.
The machine learning algorithm was fed with the maps, and the system was able to determine which brain alterations were associated with autism with above 95% mean accuracy.
While previous research proposes methods for diagnosing autism based on machine learning, the article notes it often uses a single statistical parameter that is not brain network organization.
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Analyzing the fMRI data showed changes in certain brain regions associated with cognitive, emotional, learning and memory processes, and the cortical networks of autism patients showed more segregation, less distribution of information and less connectivity compared to controls.
"Until a few years ago, little was known about the alterations that lead to the symptoms of ASD. Now, however, brain alterations in ASD patients are known to be associated with certain behaviors, although anatomical research shows that the alterations are hard to see, making diagnosis of mild ASD much harder. Our study is an important step in the development of novel methodologies that can help us obtain a deeper understanding of this neurodivergence," Rodrigues said.
The methodology is under development and will take years to implement, according to the São Paulo Research Foundation, which supported the research.
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About one in 36 children has been identified with autism spectrum disorder, according to the Centers for Disease Control and Prevention.
Diagnosing the developmental disability can be difficult because there is no medical test, like a blood test, to do so.
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This hands-on, experiential learning course is designed to develop student understanding of the majors in the College Engineering Technology (CET). Students engage in team-based and individual projects related to each undergraduate major in the college. Additionally, students will meet with and learn from exact alumni and current students as they explore the different majors, learn about career opportunities, and reflect on their own personal aspirations. Lec/Lab 3 (Fall).
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This is the first course in a three-course sequence (COS-MATH-171, -172, -173). This course includes a study of precalculus, polynomial, rational, exponential, logarithmic and trigonometric functions, continuity, and differentiability. Limits of functions are used to study continuity and differentiability. The study of the derivative includes the definition, basic rules, and implicit differentiation. Applications of the derivative include optimization and related-rates problems. (Prerequisites: Completion of the math placement exam or C- or better in MATH-111 or C- or better in ((NMTH-260 or NMTH-272 or NMTH-275) and NMTH-220) or equivalent course.) Lecture 5 (Fall, Spring).
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Puzzles, chess and writing journals may be more than pure amusements to pass the time. These brain activities could help reduce the risk of dementia.
According to a exact study in JAMA Network Open, activities related to adult literacy, such as taking classes, using a computer or writing journals, as well as active mental tasks like games, cards, or crossword puzzles, were related to a reduced dementia risk over 10 years.
The study looked at 10,318 adults in Australia who were 70 years old or older, who were generally healthy and without major cognitive impairment at enrollment.
The participants who engaged in literacy activities and active mental activities had an 11% and 9% lower, respectively, risk of dementia.
To a lesser extent, participating in creative artistic activities, such as crafts, woodwork, and painting or drawing, and in passive mental activities such as reading, watching TV or listening to the radio was also associated with reduced dementia risk, the study found. Creative artistic and passive mental activities both conferred a 7% decrease, according to the study.
“These results suggest that engagement in adult literacy, creative art, and active and passive mental activities may help reduce dementia risk in late life,” the study said.
The people in the study who developed dementia were older, more likely to be men and have lower levels of physical activity and to be in poorer health than individuals without dementia, the study said.
In 2022, there were 55 million individuals worldwide living with dementia, with 10 million new cases emerging annually, the study said. There’s no cure for dementia. As a result, “identifying new strategies to prevent or delay dementia onset among older individuals is a priority,” the study said.
These findings can help inform strategies for dementia prevention later life in terms of modifying daily routines and activities, the study said.
In hopes of improving the survival rate for breast cancer patients, MIT researchers designed a wearable ultrasound device that could allow women to detect tumors in early stages. Photo by Canan Dagdeviren
July 28 (UPI) -- Researchers at the Massachusetts Institute of Technology said Friday they have developed a wearable ultrasound tracker that could detect breast cancer at its early stages, giving it the potential to save lives.
Details about the development and testing of the flexible patch at the Cambridge, Mass., university were published in the peer-review journal Science Advances.
Scientists said the device is a flexible patch that can be attached to a bra, allowing the wearer to move an ultrasound tracker along the patch and image the breast tissue from different angles.
They said the device would allow physicians to obtain ultrasound images with resolution comparable to ultrasound probes used in medical imaging centers.
"We changed the form factor of the ultrasound technology so that it can be used in your home," Canan Dagdeviren, an associate professor of media arts and sciences at the MIT Media Lab and the senior author of the study, said in a news release.
"It's portable and easy to use, and provides real-time, user-friendly monitoring of breast tissue," she said.
Dagdeviren said she was inspired to create the device by her aunt, who died at age 49 of breast cancer, which was not found until its late stages, even though she received regular exams. She said at her bedside she drew a rough diagram that would become the one being tested.
The researchers designed a 3D-printed patch with honeycomb-like openings containing magnets, allowing the patch to be attached to bras. The openings allow the ultrasound scanner to contact the skin and be moved into different positions.
"My goal is to target the people who are most likely to develop interval cancer," Dagdeviren said. "With more frequent screening, our goal to increase the survival rate to up to 98%."
Breast tumors that develop between regularly scheduled mammograms are known as interval cancers. They account for 20% to 30% of all breast cancer cases, and tend to be more aggressive than tumors found during routine scans, MIT said.
With the flexible patch, Dagdeviren designed a miniaturized ultrasound scanner that could allow the user to perform imaging at any time. It incorporates a novel piezoelectric material that allowed the researchers to miniaturize the ultrasound scanner.
Researchers said the device would also allow for more frequent screening of women at high risk for breast cancer.
"Access to quality and affordable healthcare is essential for early detection and diagnosis," Catherine Ricciardi, nurse director at MIT's Center for Clinical and Translational Research and an author of the study, said in the release.
"As a nurse, I have witnessed the negative outcomes of a delayed diagnosis. This technology holds the promise of breaking down the many barriers for early breast cancer detection by providing a more reliable, comfortable and less intimidating diagnostic."
MIT researchers said they also plan to explore adapting the ultrasound technology to scan other parts of the body.
AI has gotten a lot of attention lately, especially services like ChatGPT, which can be used for everything from finding a good recipe to writing a blog post. A new study shows that it also might be a powerful tool in helping bad writers Strengthen their skills.
In a study published this week in Science, two MIT researchers examined whether ChatGPT could be used to reduce gaps in writing ability between employees. The duo recruited 453 data analysts, marketers, and college-educated professionals and asked them to perform two different writing tasks normally associated with their jobs—writing press releases or a short report, for instance.
Half of the participants were given the option of using ChapGPT to help them complete the second of the two tasks. Afterward, their work was graded by other professionals who worked in the same field on a scale of one to seven, with seven being the best result.
Overall, the participants who used ChatGPT did better than those who didn’t. ChatGPT users took 40% less time to complete their task than their counterparts, and their completed work scored 18% higher in evaluations than the work of those who didn’t use it.
The researchers note that while ChatGPT is powerful, it can also introduce errors, so people who use it to write for them will need to double-check that everything written by the AI tool is correct.
That said, the workers who participated in the study said they were more likely to use the tool in the future. "Workers exposed to ChatGPT during the experiment were 2 times as likely to report using it in their real job 2 weeks after the experiment and 1.6 times as likely 2 months after the experiment," the study found.
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