More Countries Should Embrace This Initiative To Prevent Breast Cancer

More Countries Should Embrace This Initiative To Prevent Breast Cancer

Meet in The Woman Post 15 years of experience with the quality that Mexican women are looking for.

GEICAM is a space that promotes clinical, epidemiological, and translational research in the field of breast cancer treatment, as well as medical education and the dissemination of pathology in society. The organization seeks to lead oncological research as a trusted reference for society and institutions. In addition, since 1995 they have carried out more than 150 studies with more than 800 associates, with the participation and collaboration of more than 65,000 women and men.

GEICAM’s fifteenth annual review of breast cancer advances (RAGMA2022) called “Artificial Intelligence Will Help Predict Breast Cancer Risk” reveals that it is a new risk assessment model and predicts the development of the disease up to 5 years earlier. The data collected indicate that in the next decade Artificial Intelligence systems will guide breast cancer research, to considerably reduce uncertainty in the disease, drugs, and treatment.

On the other hand, the new model called MIRAI which was developed by the Massachusetts Institute of Technology analyzes mammograms and collates them, to predict breast cancer up to 5 years before.

Regina Barzilay, an artificial intelligence specialist at the Massachusetts Institute of Technology, believes the system will identify patients who will benefit from the exams. In addition, he suggests that the system will aid early detection of the disease and trials will be required to confirm high-risk cases.

Mikael Eriksson, Head of the Department of Medical Epidemiology and Biostatistics at the Karolinska Institutet, believes that together with his team they developed a model called RAGMA2022 for the detection of breast cancer risk, through digital breast tomosynthesis. However, the report shows that between 15 and 25% of cases are tumors that are not detected on tests. The analysis also shows that between 20 and 30% of tumors are detected in the cribados.

Mexico Breast Center: physical and emotional well-being in one place

Mexico Breast Center is the first center to specialize in the comprehensive care of women in Mexico. They focus on preventive health models individually. In addition, they accompany their preventive and curative processes. The specialized center seeks to be the best in promoting, caring, and protecting with love and care the integral health of women. Likewise, it incorporates different solutions and alternatives in an environment of harmony, respect, and empathy.

On the other hand, it has a team of expert professionals in the field, such as Dr. Gerardo Castorena, Oncologist Surgeon; Dr. Michelle Hernández, Integrative Physician; Dr. Ramiro Vera Gamas, Geneticist of Oncology and Dr. Nicolás Domínguez, Aesthetic and Reconstructive Plastic Surgeon.

Michelle Hernández is Integrative Physician with an interest in the area of integrative medicine, with a central focus on the patient as an entity composed of mind – body – spirit to treat the root of the disease. He considers approaching patients in a multidimensional way and evaluates their pillars of well-being from a different perspective. In addition, it provides strategies that solve problems at the root and avoid temporary relief.

Alliance between Avéne & Fundación Bella & México Breast Center

Mexico Breast Center in conjunction with the Bella y Avéne Foundation will offer free studies on October 6, 7, 8, and 9 of this year at the Casa Rosa located at Emiliano Castelar 131, Polanco, Alcaldía Miguel Hidalgo, and Mexico City. This initiative is for the integral health of women and to contribute to the fight against this condition.

In short, Mexico Breast Center offers the women of Mexico a new structural, functional, and emotional approach to achieving quality and ethics in a friendly and professional environment, with the physical and emotional well-being of their patients being their priority.


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