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In the realm of artificial intelligence (AI), researchers and innovators are making significant strides in various fields. Here's a roundup of some recent developments that are reshaping healthcare and sports.

In the world of soccer, Getafe CF, a Spanish club, has partnered with Zone7, a Californian company, to predict players who are at risk of injury. Since the partnership, Getafe has experienced a 40 percent reduction in the number of injuries, demonstrating the potential of AI in preventing sports-related injuries.

Meanwhile, researchers from the University of Alberta in Canada have developed a machine learning algorithm that can identify healthy first-degree relatives of schizophrenia patients who are most vulnerable to developing the condition. The tool analyzes features on magnetic resonance images of patient's healthy relatives to identify markers for schizophrenia, offering a promising avenue for early detection and intervention.

In the realm of mental health, clinicians at the University of Michigan have developed a tool called CASSY that predicts a teen's suicide risk. When tested on responses from 2,754 teens, CASSY predicted the risk of suicide attempts with 88 percent accuracy.

Another groundbreaking development comes from researchers at Queen Mary University in London, who have developed an AI system that uses radio wave signals and neural networks to identify the heart rate and breathing pattern associated with anger, sadness, joy, and pleasure. The system was built by bouncing radio waves off study participants as they watched videos and feeding the returning signals into a neural network.

The AI landscape in the Middle East is also evolving, with an AI system developed at an unspecified university in Canada detecting fake articles more frequently than humans in a test involving 4,500 Arabic articles. The AI system was trained by swapping out nouns, verbs, and adjectives from Arabic news articles with similar words that varied in their manipulation.

Lastly, research from the University of Michigan has linked an AI model predicting Alzheimer's disease development with 75% accuracy in the coming years to the identification of neural flexibility in the brain's visual networks as an early biomarker indicating future dementia risk. While the direct provider of this AI model is not explicitly named in the available information, it's worth noting that Bill Gates’ Gates Ventures supports AI competitions for Alzheimer's research.

These advancements underscore the transformative power of AI in various sectors, from sports to healthcare and beyond. As research continues, we can expect to see even more innovative applications of AI in the near future.