The main objective of this project is the development of an algorithm based on artificial intelligence (AI) that allows objective guidance and assistance in decision-making regarding the clinical management of the patient individually and guides the decision-making of health policy in the joint multidimensional analysis of the data. In order to carry it out, interdisciplinary and coordinated action and a joint and integrated analysis of the phenotypic/clinical, pathological, radiomic and genomic data of patients with metastatic cancer will be necessary. With the detailed study of the findings, the multidimensional knowledge of cancer in the Spanish population is sought from the most important angles.

The main aim of the project is the creation of eHealth spaces in hotel establishments, through the design, adaptation, development, and implementation of a multi-specialty, modular, high-performance telemedicine platform with a redundant software and hardware architecture. The platform will support eHealth spaces, which will have initiatives focused on three areas: preventive medicine, care for the elderly or customers in need of health monitoring, and care for casual sportsmen and women.

This project promotes the development of innovative tourism products aimed at improving the competitiveness and profitability of the Spanish tourism sector. The project contributes to increasing tourism activity and its profitability, as it promotes the universality of medical care, making access to specialist doctors available to hotel and catering customers. It also creates quality jobs, as it offers a business opportunity for the private health sector. Lastly, the project aims to contribute to improving the international positioning of Spanish tourism, while promoting its diversification away from seasonal tourism.

Telemedicine allows patients easy access to medical specialties that may be difficult for them to access for financial or demographic reasons. Telemedicine is also a solution that could reduce waiting times for diagnosis. There are various telediagnostic offers on the market in different specialities, especially in teleradiology, as well as a great number of individualised services for patients (advice, follow-up, monitoring, etc.). However, it is not easy to find telediagnostic services with the direct involvement of specialists and that cover more than one medical speciality, allowing integration with different diagnostic teams that are independent of each other.

The aim of the project is the design and experimental development of a multi-specialty telemedicine platform, with a high-performance modular structure for all diagnostic services related to the medical specialties of cardiology, dermatology, ophthalmology, and radiology.

The main aim of the project is to achieve universal cardiology care through the development of a telemedicine-based multi-brand tool integrated into a multi-specialty telemedicine platform.

There is currently no solution capable of interpreting ECGs from different proprietary electrocardiographs, relating them to the patient’s medical history data, detecting and preventing diseases. The project aims to develop a tool that, without requiring any additional tests than those already carried out on the patient, is capable of preventing and detecting diseases through the automatic interpretation of ECGs. It will be a medical decision support system that will speed up diagnostic and second opinion procedures, as it will be interoperable, accessible from different platforms, and compatible with the PAS-HIS of health systems.

Back pain is considered the most common musculoskeletal condition in the adult population, with a prevalence of around 84%, i.e. five out of six people will experience back pain in adulthood. Despite its high morbidity levels, only 15% of patients with back pain are diagnosed with a specific type of low back pain, a fact that has contributed to the more than 100% increase in cases of chronic low back pain (CLBP). This condition represents the leading cause of disability worldwide.

The diagnostic evaluation of patients with back pain can be very challenging and requires complex clinical decision-making. One of the main challenges faced by specialists is to discover which of the potentially involved musculoskeletal structures is or are the source of the pain. This is a key factor in managing these patients and avoiding therapeutic errors.