In the diagnosis of high complexity, a different form is needed today than the existing proposals for the study and analysis of tumour growth, based on roughness exponents and therefore the interface of the tumour-host. The proposal of a unique intelligent environment, using AI and automatic ML to assist in diagnosis and surgery, allowing in vivo study with 3D images and determining the roughness exponents and the degree of malignancy of the tumour. This constitutes a substantial paradigm shift to understand the evolution in a living being of neoplasms, which may be malignant, benign or in the worst-case metastases.

We will allow to bring together the best of human judgment and wisdom enhanced by digital precision. It is a game changer to help the medical community achieve the best results in this field. Our goal is: “Anticipate the dynamics of tumour growth and its classification, eliminate unwanted complications during surgery, improve patient outcomes and reduce costs to health care systems”.