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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The treatment of locally advanced pancreatic adenocarcinoma presents major clinical challenges. The lack of objective predictive tools hinders therapeutic planning and medical decision making. The ability to anticipate treatment response can significantly improve the selection of patients who are candidates for surgery and optimize available clinical resources.Horus Oncologist addresses this challenge by developing predictive models that combine clinical, radiological and dosimetric information, bringing value to precision medicine.
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