Cryopreservation – News and Features

Machine learning, artificial intelligence techniques and analysis of large datasets have helped researchers discover proteins that have strong predictive potential for colorectal cancer.

Technology Networks spoke with Dr. Thomas Dennison, University of Cambridge, to learn more about the advantages of using patient-derived organoids for modeling inflammatory bowel disease (IBD).

A study reveals that a personalized approach, considering age, sex and size, improves the diagnosis of hypertrophic cardiomyopathy (HCM). The new method identifies more women and reduces misdiagnoses, ensuring better treatment opportunities.

UK Biobank's proteomics study will measure 5,400 proteins in 600,000 samples, tracking changes over mid-to-late life. By combining genetic, imaging and proteomic data, this initiative promises breakthroughs in disease diagnosis and drug discovery.

WSU researchers developed a sensor system to detect salts during nuclear waste vitrification, enhancing safety and efficiency. The technology identifies salt formation, a major challenge in waste processing, without physical probes.

Genetic variants that increase the chance of dyslexia are associated with brain structure differences in areas involved in motor coordination, vision and language.

A new screening method that combines laser analysis with a type of AI is the first of its kind to identify patients in the earliest stage of breast cancer.

As we discussed in our last post, the Role of Biobanking in Protecting Sample Chain of Custody, biobanks serve as biospecimen libraries as well as sample data, validation, and reference sources for both research and clinical labs.

This blog series will examine current and foreseen challenges for biobanks, as well as the systems and practices that mitigate these challenges.

Researchers identified plasma proteins linked to brain aging using imaging and proteomics. Key biomarkers, like BCAN and GDF15, highlight early molecular signs of cognitive decline and disease risk.