Big Data in Precision Medicine (Ongoing)

Posted On 2021-09-03 14:19:20



This series on Big Data in Precision Medicine is edited by Dr. Tim Hulsen, from Philips Research, Eindhoven, The Netherlands.

Tim Hulsen
Department of Hospital Services & Informatics, Philips Research, Eindhoven, The Netherlands

Tim Hulsen is a bioinformatician and data scientist with a broad experience in both academia and industry, working on a wide range of oncology projects. After receiving his MSc in biology in 2001, he obtained a PhD in bioinformatics in 2007 from a collaboration between the Radboud University Nijmegen and the pharma company N.V. Organon.

After two years post-doc at the Radboud University Nijmegen, he moved to Philips Research in 2009, where he worked on biomarker discovery for one year, before moving to the Translational Research IT field, working on big data projects in oncology, such as Prostate Cancer Molecular Medicine (PCMM), Translational Research IT (TraIT), Movember Global Action Plan 3 (GAP3) and the European Randomized Study of Screening for Prostate Cancer (ERSPC).

His current projects are Liquid Biopsies and Imaging (LIMA), which is about the use of Liquid Biopsies and Imaging data in breast cancer and rectal cancer, and ReIMAGINE, which is about the use of imaging to prevent unnecessary biopsies in prostate cancer. He is the author of several publications in the area of big data, data management, precision medicine and personalized healthcare.

Series outline:

  1. Preface
  2. Literature Analysis of Artificial Intelligence in Biomedicine
  3. Opportunities for Artificial Intelligence in Advancing Precision Medicine
  4. Precision Medicine Informatics: Principles, Prospects, and Challenges
  5. Big Data, Artificial Intelligence, and Machine Learning in Neurotrauma
  6. Big Data, Predictive Modeling and Data Science in Precision Medicine
  7. Machine Learning and Network Medicine: A Novel Approach for Precision Medicine and Personalized Therapy in Cardiomyopathies
  8. Artificial Intelligence in Early Drug Discovery Enabling Precision Medicine
  9. Precision Medicine in 2030-seven Ways to Transform Healthcare
  10. Big Data and Radiology Research
  11. From Big Data to Big Artificial Intelligence

Disclosure:
The series “Big Data in Precision Medicine” was commissioned by the editorial office, Pharmacogenomics Research and Personalized Medicine without any sponsorship or funding. Tim Hulsen is serving as the unpaid Guest Editor for the series.