Neuroscience and psychology.
Autonomous AI agents are forming online communities on social platforms, raising new questions about how AI-driven social dynamics may impact human users. This research examines the emergent behaviors and implications of these AI-agent communities.
AI auto-complete can subtly sway people's views on social issues, as it suggests certain word choices over others when writing, potentially influencing how people think without their awareness.
A study found a gap between pregnancy desire and actual attempts among young women, with and without breast cancer history. This highlights the need to consider the nuances of reproductive decision-making for diverse populations.
Repeated head impacts in athletes can cause a leaky blood-brain barrier, leading to toxic protein buildup and dementia-like symptoms. This finding points to new ways to diagnose and treat these brain injuries early on.
A simple blood test taken 48 hours after cardiac arrest can predict long-term brain injury risk, allowing earlier treatment to improve recovery and quality of life for cardiac arrest survivors.
According to the research, there is no scientific evidence that cannabis can effectively treat anxiety, depression, or PTSD. This suggests people dealing with these mental health issues should rely on proven treatments rather than turning to cannabis.
Students have differing views on the ethics and societal impacts of AI, which could influence how AI is taught and developed to address these concerns.
A new study suggests that human aggression doesn't necessarily lead to lethal violence, challenging common assumptions about the evolutionary origins of conflict. This challenges the idea that humans are naturally violent.
Researchers found that polymers called polyelectrolyte brushes can be used to make memory-like devices that mimic the behavior of synapses in the brain, which could lead to new low-power electronics.
Ants can adapt their social identity over time, suggesting how group membership flexibly evolves based on repeated interactions, not just genetics.
New research finds some men struggle to maintain close friendships, highlighting the need for better emotional support systems for men.
A study found that the sentiment expressed in hospital patients' clinical notes may help predict how long they stay, which could improve hospital efficiency.
Researchers developed a way to better analyze multiple emotions and their intensities in Ethiopian language text, which can help understand social media and customer feedback in those languages.
Motivated employees will take on extra work, even when it costs them bonuses. This shows how employee dedication and a desire to help can lead to productive behaviors that benefit the organization.
EEG-SeeGraph can help diagnose dementia by identifying disruptions in brain connectivity patterns, providing a new tool to detect brain disorders early.
Scientists found that giving AI systems "theory of mind" - the ability to understand others' thoughts and beliefs - can help them cooperate and communicate better, potentially leading to more advanced and capable AI assistants.
A study found that 20% of U.S. children with special health needs miss out on positive childhood experiences that can protect their adult health, highlighting the importance of ensuring all children receive supportive environments.
A new way to model the complex brain signals involved in neural conditions, which could lead to better understanding and treatment of disorders like epilepsy.
People who find cancer info hard to understand may also struggle with medical statistics, which could impact how they make health decisions. This highlights the need for clearer, more accessible public health communication.
A new study finds that doctors are increasingly using advice services to get specialist input, helping them avoid unnecessary patient referrals and improve care.
New rehabilitation therapy helped stroke patients regain arm movement, reflecting changes in brain activity rather than just reduced impairment.
Researchers in Korea created a large medical imaging database to better understand strokes, which could lead to improved diagnosis and treatment for stroke patients.
Scientists developed new AI models inspired by the brain's ability to quickly learn and adapt. This could lead to more flexible and efficient AI systems that can better handle real-world complexities.
Researchers developed a new approach to make AI systems used in medical treatments more transparent and trustworthy, which could improve patient care and trust in these advanced technologies.
Researchers created a new way to analyze text data from psychological assessments, allowing for more nuanced and personalized measurement of complex experiences.
Older adults from diverse backgrounds have different beliefs about anxiety, which can make it harder to diagnose and treat. Understanding these cultural differences is important for providing better mental health care for older adults.
EEG-SeeGraph can help diagnose dementia by identifying disruptions in brain connectivity patterns, providing a new tool to detect brain disorders early.
Researchers have developed a way to estimate PET scans from cheaper MRI scans, which could make brain disease diagnosis more accessible and affordable for patients.
A new study aims to examine how extreme weather events like floods and droughts impact the mental health of vulnerable populations in Africa, providing much-needed insights into an understudied issue.
Researchers developed an AI method to analyze ECG data and track sleep patterns without expensive sleep tests. This could make it easier to screen for sleep issues that are linked to heart health.
Researchers developed an evaluation system to ensure mental health chatbots provide safe and clinically accurate support, addressing concerns about the risks of relying on AI for sensitive healthcare needs.
Large language models have trouble remembering details over time, struggling to recall recent information even as they hold on to initial impressions - a cognitive bias that could impact their usefulness for tasks requiring clear, consistent memory.
Researchers developed a way to better analyze multiple emotions and their intensities in Ethiopian language text, which can help understand social media and customer feedback in those languages.
A study in Puerto Rico found that chronic stress and resilience resources may impact heart health in young adults, highlighting the importance of addressing mental and physical well-being as a public health priority.
Researchers validated a tool to measure mental health stigma in Pakistani doctors, which is important since stigma can prevent people from getting the care they need.
High-intensity exercise programs can help stroke patients regain fitness and mobility, but standard fitness tests may not be the best way to design these programs. This study shows a new approach to prescribing these workouts.
New research finds poverty itself is uncommon, but getting stuck in poverty is widespread and varies based on environment - highlighting importance of institutions in enabling economic mobility.
Researchers found a way to control and explain the behavior of large language models, which could make these powerful AI systems more reliable and useful for complex applications. This could lead to better AI assistants and chatbots.