Precision medicine is an emerging practice of medicine that uses a patient’s specific characteristics to guide decisions made with regard to the prevention, diagnosis, and treatment of diseases. Stimulated by the advancements in fields such as genomics and medical imaging, the last decade has witnessed exciting and remarkable progress in personalized medicine, ranging from treating breast cancer to treating major depressive disorder. The success of precision medicine depends on the development of accurate and reliable statistical and machine learning tools for estimating the optimal treatment regime given the data collected from randomized experiments or observational studies.
To meet this critical need, the program will provide a platform to bring experts from different disciplines, including statistics, biostatistics, machine learning, biomedicine, and mathematics, to exchange new research ideas and train graduate students. A variety of topics will be covered by the program, such as:
- individualized prediction of long-term cognitive changes over time
- developing personalized treatment strategies that adapt with time-dependent outcomes, including patients’ response to previous treatments and side effects
- investigating how a person’s individual characteristics influence the outcome of multiple medical treatments
- how an individual, care team, and hospital network can select and implement the treatment decision that will maximize the overall healthcare outcome
The program consists of visitors who will be invited to collaborate with local researchers at the University of Minnesota and a workshop that will summarize progress and discuss future work.
Apply for a general membership to be in residence at the IMA for this program.