Modules are built on Health29 with different segments of patient-specific features. Each module provides immediate and differential benefit to the patient or health care professional.



Automatic capture of symptoms and systematization.



Generation of the users’ genetic profile.



Data capture in Q&A type interactions.


Reported Outcomes

Automated report of data generated by the patient.



This module captures patient data, from their medical reports with a scan engine or directly from the user through a natural conversational interface, in order to classify and categorize information in medical institutions. Although original natural language data are captured, they are only useful when they are classified and linked together.

By understanding all the symptoms of each patient together the idea is to homogenize the categorization to support the development of precision medicine.




Taking advantage of the advances in technology that have made a faster and more cost-effective process possible for full or partial genetic studies, we have integrated on the platform a genotyper that allows us to include genetic data and relate them to the data collected through the phenotyper module.

Thanks to the combination of the two modules we can really understand each patient and make segments based on the elements that make up their genotype and phenotype rather than more general and therefore less relevant groupings for each individual. Improved exome prioritization of disease genes through cross-species phenotype comparison. Robinson PN, Köhler S, Oellrich A, Sanger Mouse Genetics Project, Wang K, Mungall CJ, Lewis SE, Washington N, Bauer S, Seelow D, Krawitz P, Gilissen C, Haendel M and Smedley Genome research 2014;24;2;340-8



Social Q&A

Many of the questions and concerns of patients are not related to the disease but to the practical impact on their daily life. This module captures the answers to all the questions made using a conversational interface.

The user can get immediate and up-to-date responses to his/her questions, based on the experience and the information provided by or captured from patients in similar interactions. The information allows them to make decisions about their healthcare treatment.



Patient reported

The reporting of data by the individual patient makes him/her an active object of his/her health. Making this process simple or automatic facilitates the reporting.

In the world of rare diseases, where patient groups are fragmented and dispersed, having data on how the disease is evolving is really complex and discourages clinical studies (due to high cost and complexity). We want to obtain this data in an agile way to make it easier to find better treatments, adjusted to the reality of the patient.

We investigate the use of conversational interfaces and the possibilities offered by telemetry in the powerful and automatic generation of PROMs. The simpler we make it to generate and access the data the better.



Proyecto Magellan

Diagnosis is paramount to find a remedy to diseases.

What if we could harmonize all the medical primary information? What if we could use the same words to describe all symptoms? What if we could accurately diagnose any disease in the world?
Magellan’s goal is to provide a consistent and accurate repository of data to describe any disease based on the Symptoms and Signs, Location, Genes… This set of data would be the source for an accurate diagnosis. Artificial Intelligence technologies mixed with the Subject Matter Expert Knowledge allow this artifact to be a reality these days.

Duchenne Data Platform

Duchenne Parent Project is one of the biggest rare diseases patient organizations in Europe.

· Real World Evidence from patients with Duchenne. We are developing a data platform where patients can store securely their clinical data  (symptoms, medication, clinical history, genetic information) and share this information with the people they trust. We ensure quality by incorporating the most extended standards for clinical data.
· Knowledge management system. Patients with complex conditions have to deal with multiple challenges. The challenges could be easier to handle for patients with the same problems. Our system is a repository for all these daily questions concerningthe disease, where the community already has an answer.
· We believe in the power of conversational interfaces when capturing data from patients. Technology should be used to facilitate the patient’s life and it has to be used transparently.

In collaboration with:

© 2018 Foundation Twenty-nine.
All rights reserved

Contact us!