2024 White paper on recent issues in bioanalysis: Impact of LDT in US and IVDR in EU; AI/ML for High Parameter Flow Cytometry; The rise of Olink Technology; CDx for AAV Gene Therapies; Integrative Bioanalysis by Multiple Platforms; Super Sensitive ADA/NAb LBA ( - Recommendations on Advanced Strategies for Biomarkers, IVD/CDx Assays (BAV), Cell Based Assays (CBA), and Ligand-Binding Assays (LBA) - Regulatory Agencies' Input on Biomarkers, IVD/CDx, and Biomarker Assay Validation).

The 18th Workshop on Recent Issues in Bioanalysis (18th WRIB) took place in San Antonio, TX, USA on May 6-10, 2024. Over 1100 professionals representing pharma/biotech companies, CROs, and multiple regulatory agencies convened to actively discuss the most current topics of interest in bioanalysis. The 18th WRIB included 3 Main Workshops and 7 Specialized Workshops that together spanned 1 week to allow an exhaustive and thorough coverage of all major issues in bioanalysis of biomarkers, immunogenicity, gene therapy, cell therapy and vaccines.

Relative Validity of the Groningen IBD Nutritional Questionnaire (GINQ-FFQ): A Food Frequency Questionnaire Designed to Assess Nutritional Intake in Patients with Inflammatory Bowel Disease.

To assess nutritional intake of patients with inflammatory bowel disease (IBD), a disease-specific food frequency questionnaire (FFQ) was developed: the Groningen IBD Nutritional Questionnaire (GINQ-FFQ). Aim of this study was to assess the relative validity of the GINQ-FFQ. Between 2019 and 2022, participants of the 1000IBD cohort were included and filled out a 3-day food diary and the GINQ-FFQ.

Development of Extrudable Hydrogels Based on Carboxymethyl Cellulose-Gelatin Complex Coacervates.

This study investigates the 3D extrusion printing of a carboxymethyl cellulose (CMC)-gelatin complex coacervate system. Various CMC-gelatin coacervate hydrogels were prepared and analyzed to achieve this goal. The impact of the CMC-gelatin ratio, pH, and total biopolymer concentration on coacervation formation and rheological properties was evaluated to characterize the printability of the samples.

Interactive and unimodal relationships between plant biomass, abiotic factors, and plant diversity in global grasslands.

Grasslands cover approximately a third of the Earth's land surface and account for about a third of terrestrial carbon storage. Yet, we lack strong predictive models of grassland plant biomass, the primary source of carbon in grasslands. This lack of predictive ability may arise from the assumption of linear relationships between plant biomass and the environment and an underestimation of interactions of environmental variables.

Perfusion estimation from dynamic non-contrast computed tomography using self-supervised learning and a physics-inspired U-net transformer architecture.

Purpose: Pulmonary perfusion imaging is a key lung health indicator with clinical utility as a diagnostic and treatment planning tool. However, current nuclear medicine modalities face challenges like low spatial resolution and long acquisition times which limit clinical utility to non-emergency settings and often placing extra financial burden on the patient. This study introduces a novel deep learning approach to predict perfusion imaging from non-contrast inhale and exhale computed tomography scans (IE-CT).