Seems to be something distant from the bed of the sick and a bit ‘dehumanizing’ or, at least, cold. Yet, the Artificial Intelligence (AI) can make a major contribution to tackling many diseases, cancers included. It also reaffirms a recent study by the University of Cambridge published in Nature that shows how, among the many promises of AI and Big data, perhaps the most interesting is the possibility of finding a cancer before it becomes malignant, allowing you to intervene early and at the end have more of a chance to heal. For this reason, also in Italy, you are enabling innovation paths that go precisely in this direction. As happens in Naples with the project “Synergy-Net: Research and Digital Solutions in the fight against oncological diseases”. Medicine, statistics, and computer science are network The Synergy project-net, a collaboration between the Department of Medical Sciences and Surgical Advanced Universities of the Campania region “L. Vanvitelli”, and the Consorzio Interuniversitario Nazionale per l’informatica, pointing to the creation of a technological platform to support the oncologic diagnosis early through the integration of a system of communication and management of clinical with Machine Learning techniques. “The project – explains Domenico Parmeggiani , professor of general surgery at the University of Campania “L. Vanvitelli” as well as the coordinator and the responsible of the objectives of the project – seeks to exploit the most innovative technologies of calculation and the analysis of data in cancer with the help of artificial intelligence to computerize a program for cancer screening for 8 types of cancer: lung, breast, colorectal, prostate, melanoma, stomach, thyroid, liver”. The great babel of oncology One of the greatest problems in oncology is the huge amount of information that characterize the diagnosis, prognosis, therapy and follow-up of patients. Is in fact particularly difficult for patients, attending physicians, radiologists, pathologists, geneticists, surgeons and anatomo-pathologists, psychologists and oncologists speak a common language. “For this – continues Parmeggiani – born the Gom (group oncology multi-disciplinary), that seek to contribute to this gap. But despite this, there remains a long way to go in this direction and, above all, there is often the possibility of automating these data and return them in a continuous manner to a single ‘mind’ capable of analyze it in an intelligent way”. Lots of information to draw an ‘identikit cancer is The goal, then, is to make ‘expert’ a system of analysis through the return so a continuous data cancer. “This means that it becomes possible to locate a real identikit cancer is useful in all stages of the process, which would allow you to customize everything: screening, diagnosis, surgical treatment, chemo, or radiation, etc. And, also, we may return valuable information on the nature, biological behavior, aggressive local and metastatic tumor,” continues Parmeggiani. The operational phase of The project has been financed with the european development Fund of the Campania Region, is already operating and were already published some data in particular on melanoma. “It is in the course of the computerisation of data on approximately two thousand patients, and we will soon have the opportunity to create a profile from a genetic point of view the samples in question,” says Parmeggiani. The first expected results are the ability to improve the automatic diagnosis of the images for oncology, which is already leading to interesting data in lung cancer and endoscopy. Also, recently thanks to the project equipment has been purchased ultrasound is able to guarantee the same results for other types of cancer. “In short, we hope for the end of this year to respond to the many questions about the nature, diagnosis, and therapy of tumors”. In addition, to measure the impact of the project Synergy-net, the platform will be tested both at the regional level (to check if it works in other health care facilities), both with the telemedicine (in Anacapri) and at the international level at the Universities of Montpellier and that of Buenos Aires.
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