Artificial Intelligence Guided Precision Medicine Approach to Hematological Disease

Conclusion: Combing AI "software" and the human expert "hardware" will allow for the quick delivery of comprehensive information needed for patient care that outperforms what either can achieve individually in the field of hematological disease.Figure1. Comparison of potential driver mutations between human curation and Watson for Genomics. The size of the gene symbol indicates the total number of mutations identifiedDisclosuresNo relevant conflicts of interest to declare.

Source: Blood - November 21, 2018 Category: Hematology Authors: Takei, T., Yokoyama, K., Yusa, N., Nakamura, S., Ogawa, M., Kondoh, K., Kobayashi, M., Kobayashi, A., Ito, M., Shimizu, E., Yamamoto, M., Kasajima, R., Yuji, K., Yamaguchi, R., Furukawa, Y., Imoto, S., Miyano, S., Tojo, A. Tags: 902. Health Services Research-Malignant Diseases: Poster I Source Type: research