Special issue in SLAS Technology – completed manuscripts accepted until December 31, 2024.
Guest Editors:
Chang Liu, Ph.D.
SCIEX
The rapid development of high-throughput mass spectrometry technologies has enabled MS to be an invaluable analytical tool in various disciplines, industries and research fields. It has become particularly central to new drug discovery and development, broadly deploying mass spectrometry at every phase. The pharmaceutical industry has become one of the main drivers of technological development in mass spectrometry.
In the proposed special issue, we would like to present current technical developments in the fields, including AEMS, IR-MALDESI, LAP-MALDI, DESI, nano-DESI, MALDI, etc. and their applications in high-throughput drug discovery workflows.
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Submit your manuscript before December 31, 2024. All submitted papers will be subject to peer review to ensure scientific rigor, clarity of expression, and integration with other SLAS Technology Special Issue contributions.
Special issue in SLAS Discovery – completed manuscripts accepted until December 31, 2024.
Biomolecular condensates are membrane-less organelles that form dynamically throughout the cell via the process of liquid: liquid phase separation. Proteins, peptides and RNAs are primary components of condensates. These subcellular compartments organize and concentrate molecules within cells to compartmentalize key biochemical processes. The dysregulation of biomolecular condensates is observed in many pathophysiological states, including neurodegenerative diseases, cancer, inflammation, metabolic diseases and viral infections. Drugs that modify biomolecular condensates formation, stability or dissolution are novel therapeutic strategies for a wide spectrum of diseases. A variety of pharmacological mechanisms of action including direct activity on condensates, as well as indirect modulation of biochemical processes and signal pathways, are being pursued in both academia and biotechnology and pharmaceutical companies.
All interested researchers are invited to submit your manuscript at https://www.editorialmanager.com/slasdisc/default2.aspx. The Journal’s submission system is open for receiving submissions to our Special Issue. To ensure that all manuscripts are correctly identified for inclusion in the special issue, it is important to select “VSI: biomolecular condensates drug discovery” when you reach the “Article Type” step in the submission process.
Inquiries about the special issue, including questions about appropriate topics, may be sent electronically to the Guest Editor, Charles P. Hart, Ph.D. (Charles.Hart@ucsf.edu).
Special issue in SLAS Discovery – completed manuscripts accepted until December 31, 2024.
Guest Editors:
Glauco Souza, Ph.D.
Greiner Bio-One
Madhu Nag, M.B.S., Ph.D.
InSphero
Evan Cromwell, Ph.D.
Protein Fluidics
This special issue will focus on protocols related to technologies and methodologies that are reshaping the field of 3D biology. It aims to publish detailed protocols in 3D cell culture, including protocols applying novel tools, organ-on-a-chip, and/or the integration of AI to augment throughput, automation, analysis, and control in 3D biology.
The Importance of Protocols
Protocols provide step-by-step instructions, methods and other criteria that enable investigators to conduct and expand research. Protocols published in SLAS journals benefit from the following:
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Please use this template when submitting your paper to avoid automatic revision requests before the paper can proceed through the peer review process.
Submit your manuscript before December 31, 2024. All submitted papers will be subject to peer review to ensure scientific rigor, clarity of expression, and integration with other SLAS Discovery Special Issue contributions.
Questions? Please e-mail SLAS Publishing Manager Jenny Cunningham (jcunningham@slas.org).
Special issue in SLAS Technology – completed manuscripts accepted until January 31, 2025.
Special issue scope: Exploration of the versatile applications of NLP and LLMs across various domains in the life sciences, including biomedical research, diagnostics, drug discovery, and personalized medicine.
Guest Editors:
Akshi Kumar, Ph.D.
Goldsmiths University of London
Mohinder Pal Singh Bhatia, Ph.D.
Netaji Subhas University of Technology
This special issue of SLAS Technology highlights the innovative applications of Natural Language Processing (NLP) and Large Language Models (LLMs) in the life sciences. These computational technologies are transforming the landscape of biomedical research, diagnostics, drug discovery, and personalized medicine by enabling more efficient data processing, enhancing analytical precision, and facilitating a deeper understanding of complex biological information. For instance, researchers can use NLP to automatically extract and categorize information about gene-disease associations from various biomedical texts, such as research papers and clinical trial reports. This process accelerates the identification of potential therapeutic targets and supports the development of treatments. Similarly, LLMs like GPT-3 have been applied to predict the structure and function of proteins based on textual descriptions in research articles. This can significantly speed up the drug discovery process by identifying promising compounds before empirical testing begins.
NLP and LLMs have the potential to revolutionize the life sciences by extracting and interpreting the vast amounts of unstructured textual data generated in these fields. This includes data from research papers, clinical reports, patient records, and genetic information. By automating the extraction of meaningful insights from this data, these technologies improve the accuracy of diagnostic tools, accelerate the pace of drug discovery by predicting molecular behavior, and enable the customization of medical treatments to individual patient profiles based on their genetic and clinical data.
Submit your manuscript before November 1, 2024. All submitted papers will be subject to peer review to ensure scientific rigor, clarity of expression, and integration with other SLAS Discovery Special Issue contributions.
Questions? Please e-mail SLAS Publishing Manager Jenny Cunningham (jcunningham@slas.org).
Special issue in SLAS Technology – completed manuscripts accepted until May 31, 2025.
This special issue explores the transformative advancements in biomedical imaging technologies that reshape clinical practice and biomedical research.
Guest Editors:
Mutasem Alsmadi, Ph.D.
Imam Abdurrahman Bin Faisal University
Vinay Chamola, Ph.D.
Birla Institute of Technology and Science
Muhammad Attique Khan, Ph.D.
Prince Mohammad Bin Fahd University, Al Khobar
Yudong Zhang, Ph.D.
University of Leicester
Biomedical imaging has advanced from basic techniques like X-ray and ultrasound to sophisticated methods such as MRI, CT and optical imaging. These developments allow high-resolution, three-dimensional visualization of tissues and real-time monitoring of molecular and cellular functions, improving diagnosing and managing diseases like cancer and neurological conditions. Innovations in optical imaging, including fluorescence and super-resolution microscopy, along with PET and SPECT, have enabled detailed studies of biological processes at the molecular level. These technologies now allow real-time observation of neuronal signaling and brain activity, enhancing our understanding of cognitive and motor functions.
Applications of these advanced imaging techniques extend across various fields, ranging from early disease diagnosis and precision surgery to drug development and personalized medicine. However, challenges remain, including the need for higher resolution and sensitivity to detect small or low-abundance molecules, the high cost of advanced equipment and the complexity of managing and analyzing large datasets.
To overcome these limitations, this special issue highlights emerging solutions, such as integrating artificial intelligence (AI) and quantum imaging, which promise to enhance resolution, sensitivity and data processing capabilities significantly. Bringing together contributions from leading researchers across disciplines provides a comprehensive overview of how these technological innovations are revolutionizing biomedical imaging. It underscores their potential to redefine our understanding of biology, improve clinical outcomes and accelerate therapeutic development.
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Submit your manuscript before May 31, 2025. All submitted papers will be subject to peer review to ensure scientific rigor, clarity of expression, and integration with other SLAS Technology Special Issue contributions.
Special issue in SLAS Technology – completed manuscripts accepted until December 31, 2025.
We invite researchers, scientists, and industry experts to submit articles on work related to the lab of the future, cloud lab or walk-away lab.
Guest Editors:
Kalpesh Gupta, Ph.D.
Moderna
Mario Richter, Ph.D.
Abbvie
We are excited to announce a special edition on "Lab of the Future" in the field of lab automation. This edition aims to explore cutting-edge advancements, innovative technologies, and visionary concepts that are shaping the future of laboratories. We invite researchers, scientists, and industry experts to submit their original research papers, case studies and review articles.
Topics of interest include, but are not limited to:
Submit your manuscript before December 31, 2025. All submitted papers will be subject to peer review to ensure scientific rigor, clarity of expression, and integration with other SLAS Technology Special Issue contributions.
Questions? Please e-mail SLAS Publishing Manager Jenny Cunningham (jcunningham@slas.org).
