The combination of Artificial Intelligence (AI) and big data promises to revolutionize healthcare by improving efficiency, diagnostic accuracy, and treatment personalization. Overcoming these challenges will require collaboration between healthcare professionals, data scientists, engineers and regulators to ensure an ethical and effective approach. Managing and analyzing large data sets will be crucial to identifying patterns and improving diagnostic accuracy. The creation of sophisticated machine learning algorithms will allow for more accurate interpretation of laboratory results, aiding in disease prediction and personalized treatments. The integration of technologies with AI will transform laboratory analysis, speed up processes and improve accuracy.

The application of Big Data in leukemia involves the massive analysis of genomic, clinical and laboratory data to identify patterns and trends. There are technologies that generate large sets of data, making personalized treatment possible. Big data analysis in leukemia facilitates a deeper understanding of the genetic characteristics of the disease, leading to more precise and personalized approaches in diagnosis and treatment.

AI in the diagnosis of diabetes mellitus involves the development of algorithms that can analyze large amounts of clinical, biomedical and lifestyle data. These algorithms can identify patterns that might go unnoticed with traditional methods. AI can improve accuracy in early diabetes detection, predict complications, and personalize treatment plans.

Additionally, AI can continuously analyze data in real time, providing more dynamic and adaptive disease management to improve patients' quality of life.

This webinar comprises of three following presentations of 20 min each followed by 20 min of panel discussion at the end.

Chair: Dr. Eduardo Freggiaro

Talk 1- "Present and future of the Clinical Analysis Laboratory" - Dr. Antonio Buño

Talk 2- "Big data in leukemia in children" - Dr. Carmen Gómez de León

Talk 3- "Maternal Thyroid Profile Predicts Gestational Diabetes Mellitus (GDM) using Machine Learning" - Dr. Enrique Guzmán Gutiérrez

Simultaneous Spanish translation is available! Click here to go to the Spanish version.

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