The papers, “Prenatal Cortisol Levels Estimation Using Heart Rate and Heart Rate Variability: A Weak Supervised Learning Based Approach”, “ECG Biosignal Deidentification Using Conditional Generative Adversarial Networks”, “Personal Pain Sensitivity Prediction from Ultra-short-term Resting Heart Rate Variability”, “Label Alignment Improves EEG-based Machine Learning-based Classification of Traumatic Brain Injury”, “Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks”, and “PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network” have been accepted at the 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’22), 2022, Scotland.