2024-08-03 00:21:11
Experts analyze how personalized medicine is changing due to computer advances.
From left to right, Jaime del Barrio, the leader of the first table, Jesús García-Foncillas, Miguel Ángel Armengol and Alberto Orta, in a minute of the day.
Formación y Futuro Foundation has held the second day of biomarkers, this time focused on the role of Artificial Intelligence (AI) in the right medicine. In it, six speakers have demonstrated that digital decisions and the technology of AI in the field of health are no longer patent, but contribute decisively to early detection, improvement in clinical decisions and selection and monitoring treatments. With special emphasis on the oncological field.
“AI can predict the beginning of the tumor and provide a treatment according to it, which has a significant impact on response and survival,” Jesús García-Foncillas, director of the Oncology Department at the Jiménez Díaz Foundation University Hospital. This expert shows how AI is evident in the value of more precise early studies that managed to save lives. It shows five types of tumors in which AI has already been proven to have advantages in terms of early detection: breast cancer, lung cancer, skin cancer, uterine cervix cancer, and colon cancer. For example, apply to assisted colonoscopies or to a combination of PET and liquid biopsy. For his part, Miguel Ángel Armengol, head of the Big Data Area, PMC-EPS of the Ministry of Health and Consumer Affairs of the Government of Andalusia, focused on the importance of data and proper management, of its access democracy and avoid negativity. . “Data is a raw material and efficient, safe, direct and access to them is important,” he explained. From these, AI models are more powerful and useful. In this sense, it shows that AI makes it possible made to facilitate the daily work of health professionals, taking care of the large amount of data and information to be processed, so that they can focus on the carelessness of important people.
Dipcan project and breast pathology
Alberto Orta, neuro-oncologist at MD Anderson Madrid, through the practical example of the Dipcan Project, explains how AI algorithms improve the quality of life and treatment of patients with metastatic disease. The expert admitted that it is a very complex disease that generates information that is beyond the understanding and management ability of physicians. The goal is to make medicine as predictable as possible. “AI is providing enormous computing power and helping us with traits that, at first, we didn’t understand. “It can predict where we will have metastases and use algorithms to resolve doubts about the response to certain drugs,” explained Orta.
breast cancer
Regarding breast cancer, the participation in this conference of Eugenia Colón, head of the Department of Breast Pathology at Synlabs Stockholm (Sweden) and President of the Swedish Society of Pathology, shows the practical issues of AI in the range of symptoms of this pathology. “Samples are very complex and it is very important that scientists trust the results of the algorithm that, for example, local areas are interpreted and perform very complex statistical calculations. Dermatologists who use AI have more consistent and safer results, and efficiency increases by 73%,” said Dr. Colón.
Finally, experts such as the head of Data Management at Atrys Health, Carlos Tarín and Ángel Alberich, CEO and founder of Quibim, also emphasize the great power of AI, the value of the precision of the algorithms and the importance of the professionals of the art. And not only in oncology, also in areas like of psychology or traumatology.
Once the real impact of AI today has been revealed, the consensus of all those present is that the implementation of its progress includes identifying its benefits accurately and overcoming obstacles and limitations such as the widespread and accurate application of improvements, evaluation of cost effectiveness and the need for legal and ethical procedures in this regard. Amparo Luque
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