Oak Brook, IL – Volume 33 of SLAS Technology, includes one literature highlights column, eight original research articles and four Special Issue (SI) features.
Literature Highlights
- Literature highlights column: From the literature life sciences discovery and technology highlights
SLAS Technology Section Editors Jamien Lim, PhD (TDK Electronics, Inc.) and Tal Murthy, PhD (Strain LLC) review noteworthy research articles pertaining to advances in biotechnology, artificial intelligence in science and advances in nanotechnology.
Original Research
- Enhanced high-throughput embryonic photomotor response assays in zebrafish using a multi-camera array microscope
This study validates the Kestrel™ imaging platform—a 24-camera system capturing 10+ Hz, 9.6 µm-resolution video across 96-well plates—to overcome limitations in zebrafish-based drug/toxicology screening.
- Multi-model machine learning framework for lung cancer risk prediction: A comparative analysis of nine classifiers with hybrid and ensemble approaches using behavioral and hematological parameters
This study evaluates 9 ML algorithms on 2,000 patient records to predict lung cancer risk from 34 demographic, behavioral and hematologic factors. Ensemble methods and regularization techniques proved most robust, enabling integration into EHR systems for early risk stratification.
- PRIMDEx: Prototyping rapid innovation of microfluidics devices for experimentation
The authors present PRIMDEx, an innovative hybrid manufacturing workflow combining 3D printing and rapid injection molding to address the cost, time, and flexibility limitations of traditional microfluidic device fabrication. By integrating both methods, PRIMDEx enables faster, cheaper and more adaptable prototyping, ideal for iterative R&D cycles in biotechnology and biomedical research.
- Magnetic nanoparticles-based targeted drug delivery system in tumor pain management
