Digital Pathology Lab

We develop Artificial Intelligence solutions for pathology labs. With a revolutionary concept, we generate cooperation and trusthworthiness between medical actors by allowing them to access all the information we have. Products The list is not comprehensive. It lists applications that have been commented with diverse hospitals, others mention recurring illnesses (over which it is expected to agree on specific developments), others that are cited by the existing main bibliography in the pictures analysis. A-Gleason scale B- Score Ki67 (Immunohistochemical) C- Score of the estrogen receptor and progesterone in breast cancer (Immunohistochemical). D- HER2 score in breast cancer (Immunohistochemical). E-Detection of Diabetic Retinopathy F- Detection of Mitosis in breast cancer G-Neuroimages H-Detection of Microaneurysms Common illnesses that will be considered • Heart problems (Hypertension and heart failure) • Diabetes • Cancer and malignant tumors • Liver illnesses (Hepatitis and Hepatic cirrhosis) • Lung illnesses (COPD, Ashtma and total or partial lung collapse) Social and cooperative meaning of this project The invitation is meant to generate new knowledge that can be used by all the community of the region. The systematization, cooperation, and participation of diverse health estates can generate a general benefit, this benefit is to be extended non-profit to the less wealthy communities in the region. It is known that the quality of the AI systems depends in part of how many samples are available. Part of that collaborative effort -with the improvement in quality and savings that would be generated- is one of the main purposes of this proposal. Advisory Committee We have and advisory committee composed by: Pedro Nueno-https://www.linkedin.com/in/pedro-nueno-b595841a8/ Enrique Majul-https://www.linkedin.com/in/enrique-majul-23810b8/ Iosep Valor-https://www.linkedin.com/in/josep-valor-87b123/