Dr. Aziz Nazha, Assistant Professor, Taussig Cancer Center, Cleveland Clinic started the October, BrainX Community live event by making a case for artificial intelligence applications in medicine.He then went on to showcase some of the prognostic models in cancer that have been developed by his team and applications there of in personalized medicine.Newer models using traditional recommender systems can be developed which use genomic biomarkers to predict response to therapy in a much more accurate manner than traditional methods.He also showed how neural networks can help in drug development and to target therapies.Integrating the work of pathomics and radiomics into cancer management along with electronic medical records data will hopefully build better treatment care paths in the future for more effective personalized care.
The Complexity of Interpreting Genomic Data in Patients with Primary and Secondary Acute Myeloid Leukemia (AML)
The Revised International Prognostic Scoring System “Molecular” (IPSS-Rm), a Validated and Dynamic Model in Treated Patients with Myelodysplastic Syndromes (MDS)
The efficacy of current prognostic models in predicting outcome of patients with myelodysplastic syndromes at the time of hypomethylating agent failure
