Cami Rosso is a contributing writer for Psychology Today. With a passion for exploring the intersection of technology, neuroscience, and human behavior, Cami's articles delve into the latest advancements in artificial intelligence and its impact on various aspects of society, from healthcare to chemistry.
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Cami Rosso's coverage revolves around cutting-edge developments in the intersection of technology and health, with a specific focus on artificial intelligence applications in neuroscience, medical research, and mental health. Her articles often cite data to support her findings.
Given this focus, Cami is likely to be responsive to pitches from experts who can provide insights into the latest advancements in AI within healthcare and neuroscience. Individuals or organizations involved in pioneering AI technologies or conducting groundbreaking research related to brain-computer interfaces and mental health are also likely candidates for effective outreach.
Considering that Cami does not have a specified geographic focus, she appears open to covering global developments in these areas rather than focusing on any particular region.
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An ALS patient performs spatial computing with a stent brain-computer interface.
Researchers have created neurons by converting a patient’s skin cells with microRNAs.
Researchers have created neurons by converting a patient’s skin cells with microRNAs.
AI machine learning can predict Autism Spectrum Disorder (ASD) risk in children under 24 months old with nearly 80% accuracy.
AI machine learning can predict Autism Spectrum Disorder (ASD) risk in children under 24 months old with nearly 80% accuracy.
A new AI algorithm can associate brain activity with certain behaviors, an advancement that can help improve brain-computer interfaces and find new patterns in neural activity.
New study shows that AI can predict lung cancer from digitized patient tissue samples rapidly and with a high degree of accuracy.
A new AI algorithm can associate brain activity with certain behaviors, an advancement that can help improve brain-computer interfaces and find new patterns in neural activity.
A new study shows that AI can predict lung cancer from digitized patient tissue samples rapidly and with a high degree of accuracy.
Study evaluates AI large language model GPT-4 versus human radiologists for diagnosing brain tumors with surprising results.
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