Projects

Code

2023 BENES 00019

Leader

Regina Vila Badia

Rol

Coordinador

Starting date

2024

End date

2026

Import total

14000€

Objectius

AGAUR_Regina Vila

Code

101161236

Leader

Marta Pérez Campdepadrós

Rol

Participant

Starting date

2024

End date

2027

Import total

59965.37€

Objectius

As of 2020, the World Health Organization (WHO) reported cancer as the world's second-leading cause of death, impacting patients across age groups and vulnerable subjects. Psychological issues like anxiety, depression, emotional distress, fear of recurrence, and cognitive impairment are prevalent among cancer patients and their carers, affecting treatment adherence. Digital systems, due to
their cost-effectiveness and accessibility, play a vital role in improving patient well-being and engagement in their cancer journey while mitigating geographical barriers.
In this line, this project aims to develop and implement the web-based Althea platform that would facilitate the screening of mental health issues among cancer patients and their families while supporting healthcare providers in accessing up-to-date educational materials and delivering tailored psychological support. The Althea solutions will provide systematic screening for psychological and cognitive impairment, and promote their access to informational material and targeted psychological support. Specifically, the Althea platform will trigger systematic screening of the mental health status of pediatric, adolescent, adult cancer patients, their caregivers, and family members, timely identifying individuals at high level of risk to develop mental health issues. Additionally, the
Althea system will equip healthcare providers with the necessary tools and resources ensuring timely and accurate identification of potential mental health issues and fostering referral to personalized mental health support for patients and their caregivers
throughout their cancer journey.
The creation and deployment of scalable, accessible, and personalized solutions for the screening and provision of psychological
support to cancer patients and their families stand as a pivotal component within the domain of public health, carrying substantial
socioeconomic ramifications.

Code

2024 FI-1 00864

Leader

Beatriz Olaya Guzmán, Maria Elena Huerta Ramos

Rol

Individual

Starting date

2024

End date

2027

Import total

73081.31€

Objectius

AGAUR_Beatriz Olaya

Code

2024 FI-1 00299

Leader

Laia Alsina Manrique de Lara

Rol

Individual

Starting date

2024

End date

2027

Import total

73081.31€

Objectius

AGAUR_Laia Alsina

Code

2023 INNOV 00054

Leader

Christian Stephan-Otto Attolini

Rol

Individual

Starting date

2024

End date

2025

Import total

84000€

Objectius

AGAUR_Christian Stephan-Otto

Code

101115991

Leader

Chiara Santolin

Rol

Individual

Starting date

2024

End date

2029

Import total

1314685.53€

Objectius

EUROPEAN COMISSION_Chiara Santolín

Leader

Chiara Santolin

Rol

Individual

Starting date

2024

End date

2029

Code

101161079

Leader

Arnau Valls Esteve

Rol

Coordinador

Starting date

2024

End date

2026

Import total

247582.16€

Objectius

Although children and adolescents make up nearly 25% of the world's population, their health needs are not adequately addressed, making them a vulnerable population. New medical products reach the paediatric market 5 to 10 years later than the adult population, forcing healthcare professionals to adapt products designed for adults. In addition, around 75% of rare diseases affect paediatric patients, as most of them present at an early age. These children take an average of 7.5 years to receive an accurate diagnosis, after seeing 4 general practitioners, 4 specialists and being misdiagnosed 3 times.
To improve these disparities in paediatric innovation, the Sant Joan de Déu Barcelona Children's Hospital created, in 2020, i4KIDS: the paediatric innovation hub. Over the last 3 years, i4KIDS has gained in-depth experience and knowledge in the acceleration of medical devices for the paediatric population, becoming a reference at regional level, from the identification of unmet needs to clinical validation for certification.
With around 75% of rare diseases occurring in childhood, i4KIDS aims to create i4KIDS 4RARE: an accelerator to support the development of orphan medical devices for paediatric patients. To demonstrate the capabilities of i4KIDS 4RARE, 2 specific programmes will be implemented:
- Validation and valorisation 4RARE programme with 2 paediatric use cases: (1) Patient monitoring during complex surgery in children with congenital heart disease (2) Home rehabilitation platform for children with Spinal Muscle Atrophy (SMA).
- Challenge-based 4RARE programme from 2 different perspectives: (1) The ERN perspective on paediatric rare epilepsy (Epicare) (2) From the perspective of industry.
Through the implementation of i4KIDS 4RARE, we will support pioneering solutions to improve the quality of life of children and families affected by rare diseases, raise awareness of the challenges and share the many opportunities and high-impact innovations.

Code

202315-10

Leader

Patricia Garcia Cañadilla

Rol

Individual

Starting date

2024

End date

2027

Import total

182500€

Objectius

Background: Congenital heart disease (CHD) is the most common birth defect. It is present in 1% of live births. Healthcare advances have significantly decreased CHD infant mortality, yielding over 90% survival into adulthood. However, compared to others, patients with CHD require more healthcare services. CHD patients are at higher risk of postoperative clinical deterioration related to the surgery or the underlying heart defect, which can result in prolonged hospital stays, increased morbidity and mortality, and poorer long-term
outcomes, including unplanned hospital readmissions, contributing significatively to hospital costs and overall quality of life.
Objective: to develop a machine learning (ML) cloud-based predictive system that allows to improve overall patient workflow and provide a personalized care of children with CHD, thus improving the outcome of children underdoing cardiac procedures.
Methodology: Interpretable ML to manage CHD patients, by using complex data similarity (clinical information, monitoring data, laboratory), to phenotype individuals and study clinical trajectories, to predict the expected length of stay (LOS) and risk of unplanned readmission. For this, a cloud-based decision support system will
be implemented and validated.
Expected results: Reduced the LOS and unplanned readmissions of the patients, thus improving patient’s quality of life, reducing resource consumption and hospital costs.

Leader

Emili Bargalló Angerri

Rol

Individual

Starting date

2024

End date

2025

Import total

15000€

Objectius

AJUNTAMENT DE BARCELONA_Emili Bargalló