6th CEN Conference

Session

Other 3

20 May 2026, 13:45

Room 12

Conveners

Other 3

• Christiana Drake (University of California)

106. Feasibility of Photoplethysmography for Heart Rate Asymmetry Assessment: A Comparative Study using the Autonomic Aging Database

Rafał Pawłowski (Collegium Medicum of Nicolaus Copernicus University)

20/05/2026, 13:45

oral presentation

Background: Heart Rate Asymmetry (HRA) represents a specialized domain of Heart Rate Variability (HRV) analysis, quantifying the unequal contribution of accelerations and decelerations to the overall heart rate variations. While HRA provides unique insight into the nonlinear dynamics of autonomic control, its assessment has traditionally relied on high-resolution Electrocardiography (ECG)....

114. Assessing the Reliability of Virtual Control Groups in Preclinical Toxicology

Timur Tug (Fraunhofer Institute for Toxicology and Experimental Medicine ITEM)

20/05/2026, 14:03

oral presentation

The principles of Replacement, Reduction, and Refinement (3Rs) have become fundamental to modern biomedical research. In this context, Virtual Control Groups (VCGs) offer a promising strategy to reduce the number of animals used in toxicological and pharmacological studies. Rather than including concurrent control groups (CCGs) in every experiment, VCGs rely on historical control data...

155. Modeling data with values above the upper limit of quantitation

Ulbrich Hannes-friedrich (Bayer AG, Pharmaceuticals)

20/05/2026, 14:21

oral presentation

In pharmaceutical research and preclinical development data below the lower limit of quantitation are quite common although sometimes not properly dealt with. Beyond time-to-event settings measured data above a general or even subject specific upper limit of quantitation are less common.
Malignant tumor cells can metastasize. When tumor cells metastasize they might cause new tumors called...

86. Consideration of missing values in sample size calculation using multiple imputation

Teresa Byczkowski (Institute of Medical Biometry, Heidelberg University)

20/05/2026, 14:39

oral presentation

In many clinical trial analyses, missing data is addressed through multiple imputation (MI) to avoid loss of information and potential bias. However, this approach is not taken into consideration at the planning stage when calculating the sample size. Here, it is common practice to inflate the calculated sample size by an estimated dropout rate in order to maintain the desired power. This...

161. Calibrating machine learning approaches for probability estimation in case of the absence of calibration data

Eleonora Di Carluccio (Cardio-CARE)

20/05/2026, 14:57

oral presentation

Statistical prediction models for binary outcomes are becoming increasingly popular. One signifi‐ cant challenge is calibrating these models to suit the characteristics of a target population that is structurally different from the original population. Calibration is especially challenging when there is no training data available from the target population. To address this problem, we propose...