MOZI AI HEALTH
Building Intelligent Medicine
A.I. Platform for Drug Discovery & Precision Medicine Research & Development
Scientists upload their own datasets to analyze their data in the context of their personal database and the world’s published biomedical knowledge.
Analysis via A.I
Multiple complementary machine learning tools find patterns in the data and infer novel hypotheses for further investigation.
Diagnostic & Treatments
Deduce new diagnostic and treatment strategies targeting unique manifestations of diseases in specific populations.
Founders
Chief Executive Officer
Kent Zaitlik
Chief Computational Biologist
Michael Duncan
Chief A.I. Scientist
Dr. Ben Goertzel
Publications
- Goertzel B., Geisweiller N., Pennachin C., Ng K. (2013) Integrating Feature Selection into Program Learning. In: Kühnberger KU., Rudolph S., Wang P. (eds) Artificial General Intelligence. AGI 2013. Lecture Notes in Computer Science, vol 7999. Springer, Berlin, Heidelberg [https://link.springer.com/chapter/10.1007/978-3-642-39521-5_4 ]
- Goertzel, Ben, Lucio Coelho, Mauricio Mudado and Cassio Pennachin (2010). Classifier Ensemble Based Analysis of a Genome-Wide SNP Dataset Concerning Late-Onset Alzheimer Disease. International Journal of System Science and Cognitive Informatics.[http://www.igi-gl
obal.com/article/international -journal-software-science-comp utational/49132 ] [http://www. irma-international.org/viewtit le/49132/]
- Goertzel, Ben, Lucio Coelho and Cassio Pennachin. Identifying Potential Biomarkers for Chronic Fatigue Syndrome via Classification Model Ensemble Mining. in Methods of Microarray Data Analysis VI, edited by McConnell, P, Lim, S., and A.J. Cuticchia. Scotts Valley, California: CreateSpace Publishing, 2009). [http://scholar.googleu
sercontent.com/scholar?q=cache :E6kr3kyjSHAJ:scholar.google. com ]