Large language models can help improve questionnaires used to diagnose mental illness by optimizing symptom generalizability and reducing redundancy. They can even contribute to new conceptualizations of mental disorders. That is the result of an international study led by Professor Dr. Joseph Kambeitz and Professor Dr. Kai Vogeley from the University of Cologne’s Faculty of Medicine and University Hospital Cologne.
This article was originally published on MedicalXpress.com
Chronic wasting disease (CWD), a devastating prion illness that affects North American cervids like deer and elk, poses a grave threat to their well-being and conservation efforts. Furthermore, it presents a potential risk of human […]
For at least three decades, researchers have gathered evidence that chronic stress puts pressure on the body to constantly adjust itself to restore physiological stability. This process is known as allostatic load and it creates a cascade […]
Do you want to know more about attachment types and adult relationships? If so, you’ve come to the right place! In this blog, we’ll examine how different attachment styles impact our relationships and how understanding […]
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