We understand the REAL patient journey
Researching real-life cancer treatment journeys. Revealing hidden patterns using Machine Learning & Artificial Intelligence to advance clinical research and improve patient quality of life
Cutting Edge AI, Machine Learning And Proprietary Medical Neural Networks Are Transforming How Partners Understand Patient Journeys
Why researching with Belong?
Belong.Life changes the cancer curves:
Understanding what patients REALLY care about, what they REALLY do, and what REALLY worked for them
Helping patients find new pathways
NLP, OCR & Neural Networks
Accelerating cancer research
Belong.life can help you accelerate cancer research
by understanding real-life treatment journeys, analyzing critical decision points, conducting surveys and providing you with competitive BI.
See the latest study that was conducted by McGill University and the Jewish general hospital in Toronto, Canada, using the Belong.life platform
Data from patients using the Belong PPN was able to provide insights into the treatment journeys of MPC patients in Israel, the four firstline treatment prevalence and the following lines of treatment. Continuous evaluation of RWE and PRO from the Belong PPN would allow comparative effectiveness research of cancer treatments and lead to improved evidence-based care and patients’ health-related quality of life.
Data from the Belong PPN successfully captured the spectrum of PD-1 inhibitors’ reported AEs. Analyzing PRO of post approval treatments could provide deeper understanding of treatment patterns, expose limiting AE that bear implications on cost of treatment, indicate patients’ quality of life (QOL), improve management recommendations and provide a comprehensive outlook of patients’ outcomes
New Cancer Patient Survey Shows Emotional Impact of Illness-Related Fatigue Greater than Physical Effect
A real-world data survey was designed to evaluate, from the patients’ perspective, the effects of fatigue on their treatments as well as their emotional and physical state.