What
happened
so far
What
happened
so far
Becoming a Healthcare Xplorer is so much more than solving a data challenge: It is a great opportunity to boost your career, to meet inspiring people and last but not least, to realise your idea together with Roche.
„It was an exciting experience to participate in the Healthcare Xplorers challenge. I enjoyed diving into a topic that is actually relevant for patient care, thinking of ways to approach it and exchanging ideas at the Xplorers Camp. Not only was Healthcare Xplorers great for my personal development but now, as an intern at Roche, I also get to implement these ideas!“
Melanie Fattohi, participant batch 1
„Healthcare Xplorers has been a great opportunity to test my skills by solving a real business question. What I especially enjoyed was presenting my idea and receiving direct feedback at the Xplorers Camp. And the best thing: I got the chance to drive my idea further as an intern at Roche!“
Madhushree Sinha, participant batch1
„It was an exciting experience to participate in the Healthcare Xplorers challenge. I enjoyed diving into a topic that is actually relevant for patient care, thinking of ways to approach it and exchanging ideas at the Xplorers Camp. Not only was Healthcare Xplorers great for my personal development but now, as an intern at Roche, I also get to implement these ideas!“
Melanie Fattohi, participant batch 1
„Healthcare Xplorers has been a great opportunity to test my skills by solving a real business question. What I especially enjoyed was presenting my idea and receiving direct feedback at the Xplorers Camp. And the best thing: I got the chance to drive my idea further as an intern at Roche!“
Madhushree Sinha, participant batch1
In realisation
Predicting drug effects in a multimodal biological network
— PHC
The fundamental understanding of the human organism and how it is perturbed by variants and drugs forms the basis of delivering tailored care. How can we predict the specific effect a drug has on its known cellular target(s) based on its cellular interaction network?
In realisation
Explore the future of sensing
— PHC
How will trends affect lives and behaviors and influence the daily lives of our patients? How connected will our world be in the future and what could that mean for the future solutions for diabetics
In realisation
A deep learning-based approach for detection of neurological disease patterns using a draw-a-shape test
— PHC
Interested in machine learning, and analysing digital health datasets to uncover hidden disease progression? Want to make a tangible impact on the lives of people living with neurological diseases? Then help us apply deep learning methods to develop better digital measurements of impairment!
In realisation
Non-invasive liquid level detection
— Lab Automation
Do you want to help improve the testing capacity of medical laboratories and hospitals? Do you want to have a direct impact on society’s ability to test for and thereby track diseases faster? Have a look at the data set and convince us of your solution proposal!
In realisation
Graph-based Bottleneck Analysis in a complex production environment
— Process and Manufacturing Analytics
You love diving really deep into data and business topics which are linked to real value chain problems. You like to work on real, incomplete, dirty data sets, using complex methods while explaining it in simple words. Welcome to the world of enterprise data science!
In realisation
Impact of checkpoint inhibitor therapies on a patients’ immunogenicity status
— Quest Lover
Are you curious about cancer immunotherapy everyone in the oncology world is talking about? Do you love using and advancing your skills to analyze complex data and shedding light on current research questions?
In realisation
Computational deconvolution for patient stratification in the context of non-small cell lung cancer
— Puzzle Freak
Computational methods can help to unravel the complexity of the tumor microenvironment of individual patients. We ask for your help to assess such methods to enhance our understanding of cancer heterogeneity and to improve patient classification.
In realisation
Development of a digital companion for breast cancer patients
— Quest Lover
Cancer patients often do not know what to do when they get their initial diagnosis and are often overwhelmed with the situation. We are curious to learn from your ideas how to enable patients to navigate through the jungle of information, challenges and hurdles, so that they can be in the driver’s seat of their patient journey inside the healthcare system.
In realisation
Incorporating Natural Language Processing (NLP) Workflows into an open-source genomics cancer portal
— Quest Lover / Teams welcome
Support clinicians in decision-making processes through easy access of mutation dependent targeted therapy options by using NLP.