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HORUS ML

Artificial intelligence and Machine Learning for the healthcare sector

Horus ML is a company dedicated to create customized products based on Artificial Intelligence and Machine Learning in the healthcare sector, focusing on projects with a high component of R+D+i in the clinical-care field.

CUSTOMERS / PARTNERS

AriseHealth logoOE logo2020INC logoThe Paak logoEphicient logo
Toogether logoToogether logoAriseHealth logoOE logo
2020INC logoAriseHealth logoOE logo

What sets us apart

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Machine Learning

We apply sophisticated mathematical algorithms based on a field of Artificial Intelligence called Machine Learning.
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Health Sector

We are specialized in projects within the health sector, with clinical profiles among our members.
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Ad hoc projects

We create customized products for each client, working collaboratively to meet their needs.
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Expert team

We have mathematicians, programmers, management experts and clinical professionals.
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Social impact

This project is born with a strong vocational component, seeking to improve health and generate a positive impact on society.

Meet the team

Jesús prada alonso CEO at horus ML

Jesus Prada

PhD in Machine Learning.
Experience leading Artificial Intelligence projects in Healthcare.
Yvonne Gala ML Project Manager Horus ML

Yvonne Gala

Machine Learning Project Manager. Extensive experience managing projects and large teams.
Carolina Espejo cardiologist at horus ml

Carolina Espejo

Medical specialist in Cardiology.
Proficiency in the application of statistical methods to clinical studies.
Miguel Bravo. Deep Learning Specialist at Horus ML

Miguel Bravo

Deep Learning Specialist.
Expert in image classification and natural language processing.
Guillem Batiste Horus ML

Guillem Batiste

Physician and Mathematician specialized in Data Science.
Experience leading AI projects with language models.
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Projects

Deep Horus

Improve patient care with Deep Horus, a revolutionary solution that uses machine learning, including deep learning, techniques to diagnose respiratory disease, predict mortality risk and assess the likelihood of ICU admission based on CT scans and, optionally, other patient data. Provide healthcare institutions with accurate and personalized information to improve patient outcomes.

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Horus EchoNet

Horus Echonet is a product based on Deep Learning techniques that uses a three-dimensional convolutional neural network architecture model for video classification. This model is applied to echocardiography to semantically segment the left ventricle and to assess cardiac function by calculating the left ventricular ejection fraction or LVEF.

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Horus Hydro

Monitor and improve hydration levels with Horus Hydro, a cutting-edge solution that leverages wearable sensors and machine learning technology. Stay hydrated and protect your health with our customized hydration tracking system.

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Mental Health Triage

Optimize patient management and resource allocation in mental health services with Mental Health Triage. Our innovative tool, powered by Machine Learning, classifies patients according to their characteristics, severity and clinical needs, providing an efficient and effective approach to prioritizing mental health care and providing patients with personalized mental services based on their needs.

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