Students will be provided with knowledge on the most advanced concepts in molecular genetics and molecular medicine, with regards on recent advancements given by the application of artificial intelligence and machine learning technologies to genetics and genomics. Practical examples will be taken also from the field of ophthalmology, assessing how integration with AI is introducing a revolution of disease diagnose pattern with a significant clinical impact. Methods of AI analysis of high-resolution diagnostic images obtained from both genetic and age-related diseases will be discussed and effects of combining imaging and molecular data in an AI context will be critically evaluated.
Covered topics: from the "monogenic disease" concept to the multi-gene and genome contributions to hereditary diseases; the genetic and genomic complexity of cancer, how the genetics and the genomics contribute to the definition of cells, mutations heterogeneity, drug resistance and tumor evolution; the genetic and phenotype complexity of ocular diseases (i.e., glaucoma, macular degeneration etc.). Genotype-phenotype correlation and ocular gene therapy design: the support of AI.