UCPH Digital Health Network Meeting
Digital Health at Pharma
Organizers: a/prof. Natalja Genina and a/prof. Janine Marie Traulsen from the organizing committee for UCPH Digital Health Network
The speakers:
- Morten Lindow, Head of Center for Pharmaceutical Data Science Education (CPDSE)
“A hub for pharmaceutical data science research and education”
With 17 years of experience, Morten has turned numerous ideas into drug candidates, with five reaching clinical stages. A pioneer in computational design of oligonucleotide drugs, he has contributed to innovation through structure-activity relationships and kinetic models. Passionate about human-centered scientific collaboration, he has led projects at Roche and Santaris, integrating data science with drug discovery to advance RNA-therapy. His work has made significant strides in bioinformatics and organizational design, fostering cross-functional excellence.
The purpose of CPDSE is to boost pharmaceutical education by integrating data science at all levels of education, from bachelor’s, master’s and PhD level to continuing education. https://cpdse.ku.dk
- Lotte Stig Nørgaard, Professor (pharmacist), and Nanna Broch Mottelson, PhD-student (psycholinguist), both from Social & Clinical Pharmacy, Department of Pharmacy.
“Digital Health – Pharmacist and Patient Perspectives”
Lotte and Nanna will present their research in the field of Digital Health – Pharmacist and Patient Perspectives, providing insights into three studies (a completed study, an ongoing study, and a planned study). The completed study focuses on 545 pharmacy customers' attitudes towards converting the existing paper-based leaflets (found in medicine packages) into a digital format. The ongoing study offers a methodological suggestion on how digital services may help gain insights into health perspectives among patients in vulnerable situations. The planned study will explore how AI can be used to personalize and speed up counseling at community pharmacies.
- Boris Düdder, Associate Professor, Department of Computer Sciences
“Trustworthy AI for Digital Health”
Boris Düdder will represent the work of his group on Trustworthy AI for Digital Health solutions. A focus will be a study on a cardiac arrest hotline and a smartphone application for skin cancer detection where an assessment of trustworthiness and ethical compliance was conducted. He will present ongoing research on the trustworthy execution of machine learning algorithms and discuss various architectures for integrating machine learning in application contexts.
For more information and registration, please contact ucphdh@sund.ku.dk.