Brain tumor growth patterns may help inform patient care management
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Updates every hour. Last Updated: 2-Jul-2025 22:10 ET (3-Jul-2025 02:10 GMT/UTC)
Researchers have long been interested in how humans and animals make decisions by focusing on trial-and-error behavior informed by recent information. However, the conventional frameworks for understanding these behaviors may overlook certain realities of decision-making because they assume we make the best decisions after taking into account our past experiences. A newly released study by a team of scientists deploys AI in innovative ways to better understand this process. By using tiny artificial neural networks, the researchers’ work illuminates in detail what drives an individual’s actual choices—regardless of whether those choices are optimal or not.
Cognitive neuroscientists at Brown University investigated one of humanity’s favorite pastimes and discovered how people can spread gossip without the subject of that gossip finding out — at least not right away. In a study supported by a federal grant from the National Science Foundation, the researchers found that gossiping relies on a person’s ability to perform complex computational processes each time they decide to spread information, and that most people do this instinctively.
A collaborative multidisciplinary team of researchers from the Perelman School of Medicine and New York University has developed a miniature chip that could transform how blood cancer treatments are tested and tailored for patients. “This device addresses a significant gap in preclinical research, offering an advanced tool for studying CAR T cell therapy’s dynamic and multifaceted responses to leukemia,” says Saba Ghassemi of the Perelman School of Medicine at the Unviersity of Pennsylvania.
Researchers have demonstrated a new way of attacking artificial intelligence computer vision systems, allowing them to control what the AI “sees.” The research shows that the new technique, called RisingAttacK, is effective at manipulating all of the most widely used AI computer vision systems.