Date:
October 9–10, 2023
Location:
Dorint Hotel, Bonn, Germany, and online
Click here to register.
Abstract
Key Topics of This Event
- Experiences with EU Regulation (CTR) No. 536/2014
- QRM in Clinical Trials
- Key Areas of Focus in GCP Inspections
- Clinical Safety
- The Potential of Predictive Analytics and AI
Learn more about the event here.
Our Professional Contribution
When: Monday, October 9, 2023, at 1:45 p.m.
Digital Biomarkers—An Approach to More Effective Clinical Trials
- Introduction and Definitions: Artificial Intelligence (AI) and Machine Learning (ML)
- Digital Biomarkers and the Potential of AI and ML
- How can digital biomarkers be used to make clinical trials more effective and improve outcomes?
- Practical Applications
- Objectives of Current Research in the Field of Artificial Intelligence
Our Speaker:
Kristina Djordjevic
Kristina is a life sciences consultant and data scientist at wega Informatik AG.
Kristina holds a bachelor’s degree in chemistry and a master’s degree in medical informatics with a focus on bioinformatics. She has worked for over 6 years in the biopharmaceutical industry in the field of therapeutic protein characterization using HPLC and MS, and has advanced expertise in epitope mapping via HDX-MS. In addition, Kristina worked for two years as a bioinformatician in academic research, specifically in the field of single-cell immune repertoire analysis, and has experience in data analysis and programming with R and Python.
Kristina is passionate about working to improve efficiency throughout the entire pharmaceutical research and development process and combining innovative technologies with machine learning and artificial intelligence approaches.
Nicolas Schaltenbrand
Managing Director and Head of Clinical Development Informatics at wega Informatik AG, Switzerland.
Nicola’s professional background is based on dual expertise as a clinical operations data specialist and an IT professional.
Nicolas has spent more than 25 years in pharmaceutical/clinical development, business, IT consulting, and service delivery. He has significant experience in the development and implementation of clinical information systems and technologies, with a particular focus on cloud environments and international outsourcing business models related to clinical trials.
Nicolas speaks the language of both clinical scientists and IT experts and can easily translate complex clinical processes into operational reality.
He is interested in improving efficiency in the life sciences industry through machine learning and artificial intelligence.