Ethological computational psychiatry: Challenges and opportunities DOI Creative Commons
Ilya E. Monosov, Jan Zimmermann, Michael J. Frank

и другие.

Current Opinion in Neurobiology, Год журнала: 2024, Номер 86, С. 102881 - 102881

Опубликована: Май 1, 2024

Studying the intricacies of individual subjects' moods and cognitive processing over extended periods time presents a formidable challenge in medicine. While much systems neuroscience appropriately focuses on link between neural circuit functions well-constrained behaviors short timescales (e.g., trials, hours), many mental health conditions involve complex interactions mood cognition that are non-stationary across behavioral contexts evolve timescales. Here, we discuss opportunities, challenges, possible future directions computational psychiatry to quantify continuously monitored behaviors. We suggest this exploratory effort may contribute more precision-based approach treating disorders facilitate robust reverse translation animal species. conclude with ethical considerations for any field aims bridge artificial intelligence patient monitoring.

Язык: Английский

Arbovirus impact on mosquito behavior: the jury is still out DOI Creative Commons
Théo Maire, Louis Lambrechts, Felix J.H. Hol

и другие.

Trends in Parasitology, Год журнала: 2024, Номер 40(4), С. 292 - 301

Опубликована: Фев. 28, 2024

Язык: Английский

Процитировано

7

Ethological computational psychiatry: Challenges and opportunities DOI Creative Commons
Ilya E. Monosov, Jan Zimmermann, Michael J. Frank

и другие.

Current Opinion in Neurobiology, Год журнала: 2024, Номер 86, С. 102881 - 102881

Опубликована: Май 1, 2024

Studying the intricacies of individual subjects' moods and cognitive processing over extended periods time presents a formidable challenge in medicine. While much systems neuroscience appropriately focuses on link between neural circuit functions well-constrained behaviors short timescales (e.g., trials, hours), many mental health conditions involve complex interactions mood cognition that are non-stationary across behavioral contexts evolve timescales. Here, we discuss opportunities, challenges, possible future directions computational psychiatry to quantify continuously monitored behaviors. We suggest this exploratory effort may contribute more precision-based approach treating disorders facilitate robust reverse translation animal species. conclude with ethical considerations for any field aims bridge artificial intelligence patient monitoring.

Язык: Английский

Процитировано

5