Imran Shah

Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment

Sulfenylnitrene-mediated nitrogen-atom insertion for late-stage skeletal editing of N -heterocycles

Predicting Organ Toxicity Using in Vitro Bioactivity Data and Chemical Structure

Using ToxCast™ Data to Reconstruct Dynamic Cell State Trajectories and Estimate Toxicological Points of Departure