Precision medicine represents the future of medical treatments, where each patient receives a unique therapeutic strategy based on his or her genetic profile, lifestyle and specific health conditions.
Machine learning-based solution designed to interpret data related to depression in adolescents. It uses executive function scales and speech recognition to identify patterns associated with depressive symptoms, facilitating early and more accurate assessment.
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Artificial intelligence-based solution designed to predict the risk of occult cancer in patients who have suffered a venous thromboembolism (VTE). It uses machine learning models to identify clinical patterns that could anticipate an oncological diagnosis within 2 years of the thrombotic event, thus facilitating earlier and more targeted detection.
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The Horus Oncologist project applies Machine Learning (ML) and Artificial Intelligence (AI) techniques to develop predictive models of therapeutic response in patients with non-metastatic pancreatic adenocarcinoma treated with stereotactic body radiation therapy (SBRT) in neoadjuvant phase. Through the analysis of clinical, diagnostic and radiological data, the aim is to predict the probability of surgical resection and the pathological response to treatment.
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This tool, developed in collaboration with Urban Fisio, is designed to improve the health and quality of life of patients by bringing personalized, high-quality physical therapy directly to their home. Through the use of advanced technology and the expertise of professional physiotherapists, this tool facilitates a comprehensive and convenient approach to physical care.
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Horus Predictor is a solution based on Machine Learning models that enables early clinical predictions from the patient's admission or in the first hours after. It provides accurate estimates of key indicators such as expected hospital stay or readmission risk, facilitating better planning and management of healthcare resources.
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Optimize patient and resource management in mental health services with Mental Health Triage. This artificial intelligence-powered tool classifies patients according to their characteristics, severity and clinical needs, allowing you to effectively prioritize mental health care and provide personalized services based on patient needs.
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