Latest Whitepapers

Understanding the mechanisms of human disease requires a multiomic approach; however, legacy multiomic methods require multiple platforms and complex processes with lengthy turnaround times and considerable costs.

This article examines recent advancements in cell therapy research, from promising lab findings poised for clinical translation to enhancements in development, testing, and manufacturing processes.

Cell therapies, from regenerative medicine to immunotherapy, are transforming the medical landscape with 75 already approved globally and over 2,000 in development.

In this article, Mark Lawler, professor of digital health, answers your questions about these revolutionary techniques and discusses the barriers to their implementation in the clinic. Prof. Lawler has an international reputation in cancer research and a focus on developing a molecular understanding of cancer to improve patient care, including through precision medicine.

The sensitivity and specificity of mass spectrometry (MS) has made it an indispensable tool for biopharmaceutical analysis, ensuring the safety and efficacy of biologics.

One factor that can significantly impact the success of oncology drug development is the preclinical model used. The right model can provide valuable insights into key interactions within the body and help researchers to better understand how tumors respond to treatment.

This article explores how scientists are tackling the challenges and intensifying efforts to develop mRNA therapeutics for different diseases.

Chimeric antigen receptor (CAR) therapies involve the use of engineered receptors capable of redirecting immune cells to recognize and destroy cancer cells expressing a specific antigen. Currently, CAR T cells dominate the field of CAR therapy.

Flow cytometry is a core technique in many immunology labs.. However, extensive immunophenotyping panels can result in overlapping emission peaks, time-consuming compensation and complex data analysis.

This whitepaper highlights how monitoring critical parameters with a 24/7 real-time, data-acquisition system can remove variables from experimentation, mitigate risk and increase research reproducibility.