A review of predictive modelling and drone remote sensing technologies as a tool for detecting clandestine burials.

The search for missing people is a complex and intensive undertaking. Predictive models (such as RAG mapping and geographic profiling) in combination with drone-mounted technologies can improve these searches by driving down time and monetary costs, gathering new types of data and reducing the need for investigators to expose themselves to dangerous environments. Promising technologies to discover traces of clandestine burials in the landscape are LiDAR, RGB photography, multispectral and hyperspectral imaging, as well as infrared/thermal photography.

NanoCMSer: a consensus molecular subtype stratification tool for fresh-frozen and paraffin-embedded colorectal cancer samples.

Colorectal cancer (CRC) is a significant contributor to cancer-related mortality, emphasizing the need for advanced biomarkers to guide treatment. As part of an international consortium, we previously categorized CRCs into four consensus molecular subtypes (CMS1-CMS4), showing promise for outcome prediction. To facilitate clinical integration of CMS classification in settings where formalin-fixed paraffin-embedded (FFPE) samples are routinely used, we developed NanoCMSer, a NanoString-based CMS classifier using 55 genes.

The nationwide Dietary Intake after Diagnosis and Colorectal Cancer Outcomes (PLCRC-PROTECT) cohort: Study design, clinical characteristics and baseline health behaviors.

Purpose: The nationwide Dietary Intake After Diagnosis and Colorectal Cancer Outcomes (PROTECT) study is a prospective cohort study investigating how lifestyle-related factors including dietary intake and physical activity are associated with health-related quality of life (HRQoL), recurrence, and survival after a colorectal cancer (CRC) diagnosis.

Methods: Patients participating in the Prospective Dutch Colorectal Cancer (PLCRC) cohort with newly diagnosed stage I to IV colorectal cancer were recruited for PROTECT shortly after diagnosis, between 2015 and 2022. While patient-reported quality of life, physical activity, and sedentary behavior, as well as body composition data are available from PLCRC, patient-reported measurements in PROTECT included anthropometrics, dietary intake, dietary supplement use, and taste and smell alterations.