Newswise — Oak Brook, IL – The August 2023 issue of SLAS Technology, the open access journal emphasizing scientific and technical advances across the life sciences, is now available. Volume 28, Issue 4, contains a review from the literature and eight full-length articles covering nanodiamonds, automated buffer exchange, epidermal growth factor (EGF) and other laboratory automation-related research.
From the Literature
- Life sciences discovery and technology highlights The authors examine several areas of research within the literature to highlight significant developments in microfluidics, advances in gene editing and high-throughput mass spectrometry in drug discovery.
The authors propose a solution for improving the scheduling for laboratory automation in biology problems: SAGAS (Simulated Annealing and Greedy Algorithm Scheduler), a fast and effective scheduling method combining simulated annealing and the greedy algorithm, to optimize the scheduling of life science experiments in laboratory automation.
Access to the August issue of SLAS Technology is available at https://slas-technology.org/issue/S2472-6303(23)X0005-3
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:
- Life sciences research and development
- Drug delivery
- Biomedical and molecular imaging
- Personalized and precision medicine
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, 2022 Impact Factor 2.7. Editor-in-Chief Edward Kai-Hua Chow, Ph.D., National University of Singapore (Singapore).