Oak Brook, IL – Volume 38 of SLAS Technology includes one review, three technical briefs, nine original research articles, two literature highlights, and seven entries from Special Issues on Revolutionizing Transcriptomics from Single-Cell Insights to RNA-Based Interventions and Bio-Inspired Computing and Machine Learning Analytics for a Future-Oriented Mental Well-Being.
All active SLAS Discovery and SLAS Technology call for papers are available at: https://www.slas.org/publications/call-for-papers/
This volume of SLAS Technology is available at https://www.slas-technology.org/issue/S2472-6303(26)X2001-5
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SLAS Technology reveals how scientists adapt technological advancements for life sciences exploration and experimentation in biomedical research and development. The journal emphasizes scientific and technical advances that enable and improve:
SLAS (Society for Laboratory Automation and Screening) is an international professional society of academic, industry and government life sciences researchers and the developers and providers of laboratory automation technology. The SLAS mission is to bring together researchers in academia, industry and government to advance life sciences discovery and technology via education, knowledge exchange and global community building.
SLAS Technology: Translating Life Sciences Innovation, 2025 Impact Factor 3.7. Editor-in-Chief Edward Kai-Hua Chow, PhD, KYAN Technologies, Los Angeles, CA (USA).
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SLAS TECHNOLOGY
29-May-2026