Bio-inspired computing and Machine learning analytics for future-oriented mental well-being
This special issue of SLAS Technology highlights bio-inspired computing and machine learning analytics for mental well-being in life sciences innovation. It highlights the emerging behavioral health technologies integrating big biological data, artificial intelligence, cloud/fog computing, machine learning, bio-inspired computation, the Internet of Medical Things, wireless technologies, security and privacy, semantic database, and content. The large volume of behavioral health data, often referred to as big data, requires innovative and scalable machine learning, deep learning, and intelligent algorithms to process it effectively.
Authors
- Bhuvan Unhelkar (ORCID: https://orcid.org/0000-0003-1118-3837)
- Chinmay Chakraborty (ORCID: https://orcid.org/0000-0002-4385-0975)
- Saïd Mahmoudi (ORCID: https://orcid.org/0000-0001-8272-9425)
Institutions
- University of Mons (BE)
- University of South Florida Sarasota–Manatee (US)
- KIIT University (IN)
Publication Details
- Journal
- SLAS TECHNOLOGY
- Published
- 2025-08-15
- DOI
- https://doi.org/10.1016/j.slast.2025.100343
- Primary Topic
- Cognitive Science and Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00