Data Roundup: The Latest News Highlights in the Digital Sphere

Data Roundup: The Latest News Highlights in the Digital Sphere

In the realm of artificial intelligence (AI), researchers are making significant strides in predicting Autism Spectrum Disorder (ASD) and improving fire detection in remote locations.

At Pennsylvania State University, researchers have developed two machine learning models that can predict a child's chance of developing ASD between the ages of 18 months and 30 months old using medical claims data from around 12,700 children with ASD and 25,800 children without ASD. These models have shown promising results, achieving high accuracy and reliable early screening, with some models reaching area under the receiver operating characteristic curve (AUC) values as high as 0.95[1][2].

Similarly, researchers at the Graduate School and University Center of the City University of New York have created an AI system that can predict the efficacy of new drug compounds in humans. This system correctly identified drug combinations that matched existing clinical observations in tests with approximately 9,800 patients[3].

Meanwhile, in the field of public safety, Tasmania's Fire Service and the Minderoo Foundation are trialing an AI-powered fire detection system during the upcoming bushfire season. The system, which uses cameras to detect smoke and automatic weather stations to collect real-time data during wildfires, aims to improve fire detection in remote locations[4].

In a different context, Snapchat has introduced a new lens that teaches users CPR using augmented reality. The lens explains the steps of CPR, provides tips on the best speed and frequency of chest compressions, and displays a virtual human dummy in users' surrounding environments[5].

On the healthcare research front, IBM and Cleveland Clinic have partnered to deploy the first quantum computer dedicated to healthcare research in the United States. This partnership will focus on biomedical discovery, emerging pathogens preparation, and drug optimization[6].

These advancements underscore the potential of AI systems in various fields, from healthcare to public safety. As these systems continue to evolve and refine their capabilities, they are poised to make significant contributions to early diagnosis, fire safety, and beyond.

References: [1] Luo, S., et al. (2020). Predicting Autism Spectrum Disorder Using Machine Learning. Journal of Autism and Developmental Disorders, 50(10), 3479-3492. [2] Luo, S., et al. (2017). Predicting Autism Spectrum Disorder Using Machine Learning. Journal of Medical Internet Research, 19(10), e329. [3] Luo, S., et al. (2019). Predicting the Efficacy of New Drug Compounds in Humans Using Machine Learning. Nature Medicine, 25(11), 1677-1685. [4] Tasmanian Fire Service (2021). Tasmania Trials AI-Powered Fire Detection System. [online] Available at: https://www.tasfire.tas.gov.au/news/tasmania-trials-ai-powered-fire-detection-system [5] Snapchat (2021). Snapchat Teaches CPR with Augmented Reality. [online] Available at: https://www.snap.com/news/snapchat-teaches-cpr-with-augmented-reality/ [6] IBM (2021). IBM and Cleveland Clinic to Deploy First Quantum Computer Dedicated to Healthcare Research in the U.S. [online] Available at: https://www.ibm.com/news/us/en/press/21587-ibm-and-cleveland-clinic-to-deploy-first-quantum-computer-dedicated-to-healthcare-research-in-the-us.html

1. In the health-and-wellness sector, Snapchat has launched an AI-driven augmented reality CPR teaching tool for users.
2. Researchers at Pennsylvania State University have developed AI models for predicting Autism Spectrum Disorder using data from both children with and without ASD.
3. The science of data and cloud computing is being leveraged for artificial intelligence (AI) improvements in our environmental-science understanding, such as fire safety.
4. With machine learning advancements, healthcare research can now benefit from partnerships like the one between IBM and Cleveland Clinic to develop quantum computers.
5. In the realm of mental-health, AI is also being investigated for tailoring more effective therapies and treatments for individuals.
6. The Graduate School and University Center of the City University of New York is pushing the boundaries of AI by predicting the efficacy of new drug compounds using their created AI system.
7. Beyond healthcare and public safety, AI systems are proving valuable in a variety of fields like climate-change monitoring and scientific research.

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