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http://dx.doi.org/10.1200/OP-24-00488 | DOI Listing |
Digit Discov
August 2025
Institute for Complex Molecular Systems (ICMS), Eindhoven AI Systems Institute (EAISI), Department of Biomedical Engineering, Eindhoven University of Technology Eindhoven The Netherlands
Data augmentation can alleviate the limitations of small molecular datasets for generative deep learning by 'artificially inflating' the number of instances available for training. SMILES enumeration - wherein multiple valid SMILES strings are used to represent the same molecules - has become particularly beneficial to improve the quality of molecule design. Herein, we investigated whether rethinking SMILES augmentation techniques could further enhance the quality of design.
View Article and Find Full Text PDFBMC Palliat Care
September 2025
Medical School, Internal Medicine Department, Geriatrics Division, São Paulo State University (UNESP), Av. Prof. Mario Rubens Guimaraes Montenegro, Botucatu, SN, 18618-687, Brazil.
Background/aims: The extent to which low- and middle-income countries have implemented Advance Care Planning (ACP) and Advance Directives (AD) remains unclear. We aimed to map the current status of ACP/AD in Latin America.
Methods: This cross-sectional, mixed-methods survey of ACP/AD in LA comprised interviews with 18 key informants from 18 out of 20 countries, most of whom were appointed by national Palliative Care Associations.
Cephalalgia
September 2025
Harvard Medical School, Departments of Radiology and Neurology, Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA.
Cortical spreading depolarization (depression) underlies migrainous aura and is posited to cause its headache. At times, aura may start before headache, auras may start at the same time as, or shortly after headache onset, or sometimes without any headache at all. We suggest that the extent of spread and not the spread limited to eloquent cortex, is the key variable in the genesis of headache.
View Article and Find Full Text PDFJMIR Rehabil Assist Technol
August 2025
Institute of Rehabilitation, Jamk University of Applied Sciences, Jyväskylä, Finland.
Background: The integration of artificial intelligence (AI) in rehabilitation technology is transforming traditional methods, focusing on personalization and improved outcomes. The growing area of AI in digital rehabilitation (DR) emphasizes the critical role of end-user compliance with rehabilitation programs. Analyzing how AI-driven DR tools can boost this compliance is vital for creating sustainable practices and tackling future challenges.
View Article and Find Full Text PDF