News & Articles

Trial results presented at ECCMID show potential of Actiphage for risk stratification in those with latent TB

Three-day in-person educational event allows attendees to network and learn in over 100 sessions focused on cannabis analytical science, medicine/wellness, cultivation, hemp and psychedelics

Blood test could be used to identify patients most likely to become severely ill before they deteriorate

The researchers were able to build a decision tree to predict COVID-19 patients at risk of a poor prognosis

Leafy greens are particularly susceptible to contamination due to their proximity to the ground and the likelihood of people eating them without cooking

Nursery children were found to be exposed to the greatest variety of pathogens and the highest concentrations compared to other groups investigated

An electronic questionnaire was used to gather information about sick leave and side effects from the 1,797 healthcare workers

The combination of technologies facilitates a fully connected laboratory with standard data integrity, data mobility, system flexibility, and user reconfigurability

Molecular-based testing technology has shortest processing time of any multiplex microbial assay accepted by a regulatory agency

Porvair’s growing range of Chromatrap® ChIP kits for epigenetics research show promise

UCLA scientists’ confirmation of this process clarifies a longstanding controversy about blood stem cells’ cellular origin

Ziath to launch two new innovative sample management products at Analytica 2022

The peptide-based vaccine induces a T cell-dependent response

The epigenomic signature is evident prior to CD19-targeted CAR T-cell treatment

Latinos are also more likely to be diagnosed with this cancer type

Program participants will receive early access to the upcoming release of kits designed to print longer oligos and enable labeling with fluorophores, quenchers, and biotin

The cutting-edge technique aims to detect and prevent  wine fraud by verifying wine identity

For the correlative analysis of Raman, AFM, AFM-Raman, cathodoluminescence and fluorescence data and microscopy images

Researchers have developed risk prediction algorithms for many forms of cancer as a result of recent breakthroughs in AI

Researchers have demonstrated that the adverse effects of combination therapy could be predicted

The identification of this genetic variant could help select lung cancer patients who may be at risk of more severe autoimmune side effects