idalab seminar #10: Precision Medicine – How to Identify Biomarkers that Help Patients Choose Their Best Treatment Option
In idalab seminar #10, we turn to the field of Precision Medicine. Dr. Nicole Krämer from Staburo GmbH will give a talk on how Data Science can help physicians to predict a patient’s reaction to a certain treatment in advance. This enables them to choose the best possible treatment option at hand, without putting the patient through the strain of an ineffective drug. The seminar will take place on Friday, May 18th at 5 pm.
Here’s a short abstract of Nicole’s talk:
Precision medicine aims at delivering the right treatment at the right time to the right person. This goes hand in hand with a deeper genetic understanding of a patient’s disease. An important milestone is the recent approval of an anti-cancer drug, that was granted by the FDA based solely on a tumor’s biomarker and not on where in the body the tumor started. How can statistics and machine learning help to identify a patient’s best treatment option? I will walk you through a typical Phase II clinical trial in order to discuss the challenge it poses to predict a patient’s response to a treatment that she has not yet received, demonstrate the opportunity of analysing a large set of biomarkers in a clinical trial with relatively few patients, as well as to point out the need to define concrete patient subgroups.
Find the presentation on SlideShare.
Dr. Nicole Krämer is the project leader Translational Medicine and Biomarkers and a principal statistician at Staburo GmbH. She is responsible for statistical and biomarker analyses in clinical drug development. She works across multiple indications with a focus in oncology and central nervous systems. Dr. Nicole Krämer received her Ph.D. in Statistics and Machine Learning from the Technische Universität Berlin in 2006, and her Diploma Degree in Mathematics from the Universität zu Köln in 2001.
As always, the seminar will take place in our office at Potsdamer Straße 68, starting at 5 pm. Doors open at 4.30 pm. Participation in the seminar is free and only requires registration via mail at email@example.com
After the talk, we invite you to stay for drinks. We’re looking forward to seeing you there!
About idalab seminars: idalab seminars are open to all interested parties. Once a month, we invite scholars, data scientists, business experts and big data thought leaders to discuss their work, gain new perspectives and generate fresh insights.