Taking into account these values, and although the exact configuration of the steps to be followed in our projects will always depend on the needs of the client institution, a standard Horus ML project involves the following phases:
Initial analysis and discussion with the client institution.
In this phase there will be several initial conversations with the healthcare institution to understand and properly define their needs and the scope of the project, and a preliminary analysis of the relevant databases available to carry out the project will be carried out. This phase will be completely free of charge.
2. Project definition
It consists of a rigorous definition of the objective and scope of the product to be created, the project timeline and the final budget, including personnel and server costs, in the case of not using internal resources of the client institution. This phase will also be totally free of charge.
3. Product development
In this phase Horus ML will carry out all the necessary actions for the training of the Machine Learning models needed to achieve the objectives defined in the project, using the free software programming languages Python and R, the two major references in this technological field.
Periodic meetings will be held with the client institution to report on the progress made, present intermediate results, and receive feedback from their medical team to improve and adapt the final product to their needs.
4. Presentation and delivery of the final product
Horus ML will present to the client institution the final product developed, together with all the technical manuals and training documents necessary for its correct use by the client institution. This phase will end with the final approval by the client institution of the developed product.
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CUSTOMERS
HORUS ML PHASES
Taking into account these values, and although the exact configuration of the steps to be followed in our projects will always depend on the needs of the client institution, a standard Horus ML project involves the following phases:
I studied a double computer science-mathematics program at the Universidad Autónoma de Madrid and, later, a double master's degree in Computational Intelligence and Applied Mathematics. It was at that time that I first heard about the fields of Artificial Intelligence and Machine Learning, which led me to embark on a PhD Program in Computer Science focused on these techniques.
At the same time, I became a freelancer, which has allowed me to collaborate for more than 10 years in different companies and projects, from airlines such as Iberia Express, to small companies and medical startups based at MIT.
In 2018 I chose to focus my career in the healthcare field, since creating applications in healthcare has always been my goal at a working level. During those years I was director of the Machine Learning Area at Sigesa, a company with extensive experience in the development of applications for healthcare management, and I completed a master's degree in biostatistics and computational biology at the Universitat Oberta de Catalunya.
Finally, in 2022 I decided to start my own company, Horus ML, seeking to create a structure that would give me the opportunity to carry out innovative Machine Learning projects, focused on the clinical care field, that would have a real impact on clinical practice.
Miguel Bravo Prieto
Senior Data Scientist specializing in Deep Learning projects Expert in image classification and natural language processing.
My curiosity about the enigma of consciousness and perception of the human being led me to study in 2012 a Degree in Psychology at the Autonomous University of Madrid. My first steps in science led me to publish a research within the field of Psychophysics in the framework of Ecological Perception.
Later in 2017 I complemented my training, at the same university, with a Master's Degree in Condensed Matter Physics and Biological Systems, with a Specialization in Biophysics. However, before starting a PhD to continue my path in science, my life took a 360-degree turn when I discovered the world of Big Data, and more specifically Artificial Intelligence.
It was then during 2019 when I completed a Master in Data Science at the University Center for Technology and Digital Art (U-TAD) and started my professional path as a freelancer at Iberia Express. Some time later after acquiring experience in multiple subfields of Deep Learning I would reach my status of Senior Data Scientist.
Now in 2023 after more than 4 years of experience without ceasing to seek the knowledge that would allow me to solve new challenges and problems, I decided to join the Horus ML initiative to continue developing disruptive projects within the clinical field, with the intention of generating a real impact on the lives of people and society.
Carolina Espejo Paeres
Cardiology Physician Proficiency in the application of statistical methods to clinical trials
I studied Medicine at the University of La Laguna and specialized in Cardiology at the Hospital Clínico San Carlos in Madrid (2013-2018). Subsequently I decided to subspecialize in the field of Interventional Cardiology doing a 3-year fellowship at the Hospital Clínico San Carlos. I obtained the master's degree in Interventional Cardiology from the Complutense University of Madrid in 2020 and the Accreditation in specific training for the practice of Hemodynamics and Interventional Cardiology in 2022.
During my training as a specialist I have participated in multiple clinical research projects that have resulted in publications in international scientific journals and presentations at congresses. Given my growing interest in clinical research, I decided to take the Diploma in Design and Statistics in Health Sciences at the Autonomous University of Barcelona (2020-2022).
I have also been a lecturer in the Master's Degree in Diagnostic Imaging in Cardiology of the Spanish Society of Cardiology and I am currently developing my doctoral thesis in research in medical-surgical sciences, focusing on the field of Interventional Cardiology at the Complutense University of Madrid.
HORUS ML EQUIPMENT
CONTACT US
If you have an innovative project in hand and need help, do not hesitate to contact us:
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