| INFORMATION ABOUT THE PROJECT | |
|---|---|
| Project acronym | Heart bAIt |
| Public project title | Remote and unobstructed assessment of vital signs for arrhythmia screening with edge computing |
| A one-line project description | Heart bAIt will develop and offer an AI service for personal data digestion based on heart rate patterns, detected and computed on the smartphone. |
| Project description | The Heart bAIt project will deliver an advanced digital solution to collect patient data (vital signs and others) in a remote, routinely, and unobstructed way. Such, powered by explainable AI and deep learning, will alleviate the burden of repetitive work on medical teams while democratizing the access to medical-grade technology, ultimately providing significant efficiency gains to health care services and patients. Heart bAIt will target atrial fibrillation (AFib) and atrial flutter (AF) – heart rate arrythmias and common cardiovascular health problems affecting circa 3% of the general population. Importantly, AFib is associated with a five-fold increase in stroke risk. A proper identification of patients at risk, and subsequent guideline follow-up, can substantially reduce mortality and morbidity rates associated with cardiovascular diseases — a major global health problem. Nevertheless, wide screening of risk groups is currently limited by human resources and technical equipment availability. Heart bAIt will curtail this by developing and offering an AI service for personal data digestion based on heart rate patterns, detected and computed at the smartphone. Promptly will integrate a key enabling technology (PPG) to monitor vital signs using a bring-your-own-device (BYOD) strategy and edge-computing, allowing every individual to fully access a clinically validated screening/diagnostic protocol. We will build on the current knowledge of logistic regressions and machine learning algorithms to develop models to personalize the prediction for/identify abnormal profiles of heart functioning. Furthermore, in combination with EHR data, it will allow issuing probability risks for AFib and AF, to be presented at a decision support system where it is possible to fine-tune alarms and trigger adequate interventions by healthcare professionals. A full and wide implementation of this solution will unleash the screening of chronic diseases from the current logistic and cost restrictions towards a long-term democratized and effective medical solution. |
| INFORMATION ABOUT TEAM MEMBERS | |
|---|---|
| Team member #1 | |
| Name: | Ana Costa |
| One-line bio: | Ana is the Head of Science and Evidence Generation at Promptly. She holds a Ph.D. in Biomedicine and 15 years of experience as a scientific researcher complemented with 3 years as innovation manager. |
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| Social media links: | https://www.linkedin.com/in/anacostaphd |
| Team member #2 | |
| Name: | Ivan Pereira |
| One-line bio: | Ivan has a Computer Science Degree and is Promptly’s CTO. In his + 15 years of professional experience, he has worked and contacted with numerous technologies, frameworks and programming languages, both frontend and backend. |
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| Social media links: | https://www.linkedin.com/in/ivanrvpereira |
| Team member #3 | |
| Name: | Olivia Oliveira |
| One-line bio: | Olivia graduated in Biomedical Engineering, MSc in Medical Informatics. Currently, with +10 years of professional experience she is experienced in deploying AI solutions in R&D projects and in other settings. |
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| Social media links: | https://www.linkedin.com/in/oliviaoliveira |
| Team member #4 | |
| Name: | Martim Sousa |
| One-line bio: | Martim holds a Masters in Bioengineering, specializing in Biomedical Engineering, and poised to excel in roles focused on Machine Learning, AI Healthcare, and medical equipment development. |
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| Social media links: | https://www.linkedin.com/in/martim-quintas-e-sousa/ |
| Team member #5 | |
| Name: | Adriana Alves |
| One-line bio: | Adriana is specialized in Pharma Marketing, MSc in Pharmacy. She is experienced in customer support and project management. |
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| Social media links: | https://www.linkedin.com/in/adriannasalves/ |
| Team member #6 | |
| Name: | João Primo |
| One-line bio: | He graduated in Medicine at University of Porto, specialized in Cardiology with a subspecialty in Electrophysiology. His professional activity takes place as a cardiologist and Head of the Laboratory of Electrophysiology and Pacing at the CHVNG. |
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| Social media links: | https://www.hospitaldaluz.pt/pt/encontre-um-medico/1080/joao-primo |
| Team member #7 | |
| Name: | João Almeida |
| One-line bio: | João holds a MSc in Medicine with further specialization in Cardiology. He is currently a cardiologist at the Laboratory of Electrophysiology and Pacing at the CHVNG and a Health Tech enthusiast and researcher. |
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| Social media links: | https://www.linkedin.com/in/jo%C3%A3o-gon%C3%A7alves-almeida-78482688/ |
| Team member #8 | |
| Name: | Sérgio Laranjo |
| One-line bio: | Holds a Degree and a PhD in Medicine by the University of Lisbon and a diploma of Advanced Studies in Cardiac Arrhythmia Management. Dr. Sérgio is an Invited Assistant Professor at the Faculty of Medicine and an investigator at the CHRC. |
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| Social media links: | https://www.chrc.pt/en/chrc/people/sergio-laranjo |
| Team member #9 | |
| Name: | Mário Oliveira |
| One-line bio: | Completed his PhD and Degree in Medicine at the University of Lisbon. He is a member of the Cardiology service at Hospital Santa Marta, Vice-President of the Heart Rhythm Society (FHRS), and Assistant Professor at the University of Lisbon Faculty of Medicine. |
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| Social media links: | https://www.linkedin.com/in/mario-oliveira-md-phd-fesc-fhrs-facc-fehra-8a9b4019/?originalSubdomain=pt |
| Team member #10 | |
| Name: | Pedro Silva Cunha |
| One-line bio: | Pedro holds a degree in Medicine and a specialization in Cardiology. He is the Assistant Coordinator of the Laboratory of Electrophysiology and Pacing at Santa Marta Hospital. |
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| Social media links: | https://www.linkedin.com/in/pedro-silva-cunha-a4079713/?originalSubdomain=pt |
| INFORMATION ABOUT THE ENTITY | |
|---|---|
| Entity #1 | |
| Name | Promptly |
| Country | Portugal |
| Description | Promptly is a Real-World Data Analytics company, collecting, integrating and analysing data on the outcomes of care. Promptly develops proprietary technology for patient engagement, real-world data collection, and outcomes analytics, discovering digital biomarkers on important symptoms, adverse effects and treatment outcomes, using different sources of data. |
| Website | https://www.promptlyhealth.com/ |
| Logo |  |
| Social media links | https://www.linkedin.com/company/promptlyhealth/mycompany/?viewAsMember=true https://twitter.com/PromptlyHealth |
| Entity #2 | |
| Name | Unidade Local de Saúde de Gaia e Espinho (ULSGE) |
| Country | Portugal |
| Description | ULSGE is a tertiary care unit and serves a total of 344k inhabitants. It is a specialized center for cardiothoracic surgery (for surgical ablation and others) covering 40% of the North region of Portugal. |
| Website | https://www.chvng.min-saude.pt/ |
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| Social media links | https://www.linkedin.com/company/ulsgaiaespinho/ |
| Entity #3 | |
| Name | Comprehensive Health Research Centre (CHRC) |
| Country | Portugal |
| Description | CHRC is research institute associated with Hospital Santa Marta/Centro Hospitalar Universitário de Lisboa hospital center which covers a population of 230k inhabitants and has several national reference centers including the one for congenital cardiomyopathies. |
| Website | https://www.chrc.pt/en |
| Logo |  |
| Social media links | https://www.linkedin.com/company/chrc-comprehesive-health-research-center/ https://m.facebook.com/CHRCenter/ |
