Newswise — Oak Brook, IL – Volume 36 of SLAS Technology consists of two editorials, one literature spotlight, two unique analysis articles, two critiques and two Special Issue (SI) options.
Editorials
- Mass Spectrometry Applications for High-Throughput Experimentation in Supporting Drug Discovery
High-throughput experimentation paired with mass spectrometry (MS) is accelerating drug discovery by enabling speedy, parallel evaluation of 1000’s of chemical reactions and organic assays. While challenges equivalent to knowledge administration and matrix results stay, advances in MS expertise, direct-to-biology workflows and AI integration are driving end-to-end optimization of the drug discovery course of. - 2nd EUOS/SLAS Joint Challenge: Prediction of Spectral Properties of Compounds
The Second Joint Machine Learning Challenge, constructed on the success of the first EU-OPENSCREEN/SLAS problem, demonstrates how open, well-curated experimental datasets can speed up the improvement of superior machine studying strategies for drug discovery. The editorial outlines the problem–the full technical descriptions of the successful options will likely be revealed in SLAS Technology later this yr.
Reviews
Original Research
- Implementation of a Modular Digital Laboratory Infrastructure for SiLA2 Based Devices This article presents a laboratory digitalization framework utilizing open-source software program and {hardware}, demonstrated by way of a SiLA-based steady chromatography system for Green Fluorescent Protein (GFP) purification. The framework consists of machine management, knowledge administration, analysis, and upkeep methods for software program and {hardware}.
- Low-Cost CNC-Based Media Dispensing System for Biotechnology Laboratories
A customized Computer Numerical Control-based Automated Media Dispensing System was developed and validated over two years for a plant biotechnology lab, outperforming guide meting out whereas sustaining effectivity At roughly one-fiftieth the price of comparable business methods, the modular design provides an accessible and ergonomic automation resolution for analysis laboratories.
Literature Highlight
- Life Sciences and Aging
This entry in the Life Sciences and Society collection by SLAS Technology Associate Editor Kerstin Thurow, PhD, facilities on advances in genomics, AI, and senolytic therapies which are giving life sciences elevated energy to intervene in the getting old course of, shifting the focus towards extending wholesome lifespan fairly than longevity alone.
Special Issues
- Robotics in Laboratory Automation
This editorial introduces the Special Issue (SI) Robotics in Laboratory Automation, which highlights advances in robotic methods that enhance experimental precision, reproducibility and throughput. The SI addresses key developments in standardization and clever automation whereas acknowledging present limitations and rising traits shaping the area.
- Revolutionizing Transcriptomics from Single-Cell Insights to RNA-Based Interventions
This SI on methods genetics examines gene and molecular interplay networks, using high-throughput sequencing and multi-omics applied sciences to know how genetic networks affect phenotypes. It emphasizes the significance of customized drugs, therapeutic goal discovery and biomarker identification by way of built-in genomic and epigenomic approaches.
All energetic SLAS Discovery and SLAS Technology name for papers can be found at: https://www.slas.org/publications/call-for-papers/
This quantity of SLAS Technology is out there at https://www.slas-technology.org/issue/S2472-6303(25)X0007-8
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SLAS Technology reveals how scientists adapt technological developments for all times sciences exploration and experimentation in biomedical analysis and improvement. The journal emphasizes scientific and technical advances that allow and enhance:
- Life sciences analysis and improvement
- Drug supply
- Diagnostics
- Biomedical and molecular imaging
- Personalized and precision drugs
SLAS (Society for Laboratory Automation and Screening) is a world skilled society of educational, trade and authorities life sciences researchers and the builders and suppliers of laboratory automation expertise. The SLAS mission is to carry collectively researchers in academia, trade and authorities to advance life sciences discovery and expertise by way of training, information alternate and world neighborhood constructing.
SLAS Technology: Translating Life Sciences Innovation, 2024 Impact Factor 3.7. Editor-in-Chief Edward Kai-Hua Chow, PhD, KYAN Technologies, Los Angeles, CA (USA).
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