… Yuri Levin-Schwartz received the BS degree in physics and the BA degree in mathematics
from Brandeis University, Waltham, MA, USA, in 2012. Currently, he is working toward the Ph.…

… Yuri Levin-Schwartz received the BS degree in physics and the BA degree in mathematics
from Brandeis University, Waltham, MA, USA, in 2012. Currently, he is working toward the Ph.…

Machine learning contains a set of methods, which allow a machine to learn meaningful
patterns from data directly with minimal human interaction. e strength of a machinelearning …

… When X is coupled with matrix Y, eg, in the first mode, they can be jointly analyzed using
a … The corresponding component in Y (if it is a shared component) models the same brain …

… MMBs integrate exposure information across multiple biomarkers and derive exposure
estimates that we propose better represent the overall body burden (Levin-Schwartz, 2020). The …

The predisposition, severity, and progression of many diseases differ between males and
females. Sex-related differences in susceptibility to neurotoxicant exposures may provide …

Fusing complementary information from different modalities can lead to the discovery of more
accurate diagnostic biomarkers for psychiatric disorders. However, biomarker discovery …

The extraction of information from multiple sets of data is a problem inherent to many disciplines.
This is possible by either analyzing the data sets jointly as in data fusion or separately …

… Briefly, if we consider N predictors, grouped into quantiles, q n , and an outcome, y , the
general form of the WQS model is: g ( μ ) ≈ β 0 + β 1 ( ∑ n = 1 N w n q n ) + z T φ , where, g ( μ ) , …

… analysis consist of the total body burden indices for each time point, the weights, z t , generated
from this analysis determine the relative importance of each time point to the outcome y. …