Atul Rawal
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View article: Utilization of Machine Learning Approaches for Drug Clearance Prediction and Population Pharmacokinetic Covariate Analysis
Utilization of Machine Learning Approaches for Drug Clearance Prediction and Population Pharmacokinetic Covariate Analysis Open
Population pharmacokinetic (popPK) analysis is routinely used to evaluate drug clearance and covariate effects on pharmacokinetic parameters to support dosing recommendations. While stepwise methods are traditionally employed for covariate…
View article: Responsible Artificial Intelligence (RAI) in U.S. Federal Government : Principles, Policies, and Practices
Responsible Artificial Intelligence (RAI) in U.S. Federal Government : Principles, Policies, and Practices Open
Artificial intelligence (AI) and machine learning (ML) have made tremendous advancements in the past decades. From simple recommendation systems to more complex tumor identification systems, AI/ML systems have been utilized in a plethora o…
View article: Causality for Trustworthy Artificial Intelligence: Status, Challenges and Perspectives
Causality for Trustworthy Artificial Intelligence: Status, Challenges and Perspectives Open
Causal inference is the idea of cause and effect; this fundamental area of sciences can be applied to problem space associated with Newton’s laws or the devastating COVID-19 pandemic. The cause explains the “why,” whereas the effect descri…
View article: Artificial Intelligence (AI) based approach for identifying biomarkers associated with neutralizing antidrug antibodies to Factor VIII used in Hemophilia A treatment
Artificial Intelligence (AI) based approach for identifying biomarkers associated with neutralizing antidrug antibodies to Factor VIII used in Hemophilia A treatment Open
Lack of clinically validated markers associated with the development of neutralizing antibodies (inhibitors) to the replacement protein-drug, Factor VIII (FVIII) is a major challenge in managing Hemophilia A (HA). By utilizing Machine Lear…
View article: Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges and Perspectives
Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges and Perspectives Open
This is a survey paper on Explainable Artificial Intelligence (XAI).
View article: Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges and Perspectives
Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges and Perspectives Open
This is a survey paper on Explainable Artificial Intelligence (XAI).
View article: Influence of Hydroxyproline on Mechanical Behavior of Collagen Mimetic Proteins Under Fraying Deformation—Molecular Dynamics Investigations
Influence of Hydroxyproline on Mechanical Behavior of Collagen Mimetic Proteins Under Fraying Deformation—Molecular Dynamics Investigations Open
Molecular dynamics modeling is used to simulate, model, and analyze mechanical deformation behavior and predictive properties of three different synthetic collagen proteins obtained from RSC-PDB, 1BKV, 3A08, and 2CUO, with varying concentr…