
Drug Discovery Today, Journal Year: 2024, Volume and Issue: 30(1), P. 104255 - 104255
Published: Nov. 29, 2024
Language: Английский
Drug Discovery Today, Journal Year: 2024, Volume and Issue: 30(1), P. 104255 - 104255
Published: Nov. 29, 2024
Language: Английский
Journal of Psychiatry and Neuroscience, Journal Year: 2025, Volume and Issue: 50(1), P. E67 - E72
Published: Feb. 7, 2025
> Consider the practical effects of objects your conception. Then, conception those is whole object. — Charles Sanders Peirce[1][1] Each us has an individual mental phenomenon that defines us. Some our differences and similarities
Language: Английский
Citations
0Neuropsychopharmacology, Journal Year: 2024, Volume and Issue: 50(1), P. 184 - 195
Published: Aug. 28, 2024
Language: Английский
Citations
2Frontiers in Psychiatry, Journal Year: 2024, Volume and Issue: 15
Published: Sept. 10, 2024
Prescription Digital Therapeutics (PDTs) are emerging as promising tools for treating and managing mental brain health conditions within the context of daily life. This commentary distinguishes PDTs from other Software Medical Devices (SaMD) explores their integration into treatments. We focus on research programs support National Institutes Health (NIH), discussing PDT supported by NIH's Institute Child Development (NICHD), Mental (NIMH), Aging (NIA). present a hierarchical natural language processing topic analysis NIH-funded digital therapeutics projects. delineate landscape across different disorders while highlighting opportunities challenges. Additionally, we discuss foundation PDTs, unique therapeutic approaches they employ, potential strategies to improve validity, reliability, safety, effectiveness. Finally, address collaborations necessary propel field forward, ultimately enhancing patient care through innovative solutions.
Language: Английский
Citations
0medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 15, 2024
New technologies for the quantification of behavior have revolutionized animal studies in social, cognitive, and pharmacological neurosciences. However, comparable understanding human behavior, especially psychiatry, are lacking. In this study, we utilized data-driven machine learning to analyze natural, spontaneous open-field behaviors from people with euthymic bipolar disorder (BD) non-BD participants. Our computational paradigm identified representations distinct sets actions (
Language: Английский
Citations
0Drug Discovery Today, Journal Year: 2024, Volume and Issue: 30(1), P. 104255 - 104255
Published: Nov. 29, 2024
Language: Английский
Citations
0