Rational Design of Safer Inorganic Nanoparticles via Mechanistic Modeling-Informed Machine Learning

Author:

Cave Joseph1234,Christiono Anne56,Schiavone Carmine1278,Pownall Henry J.9104,Cristini Vittorio12341121213,Staquicini Daniela I.141516,Pasqualini Renata141516,Arap Wadih141716,Brinker C. Jeffrey1819ORCID,Campen Matthew2019,Wang Zhihui121122122ORCID,Van Nguyen Hien2324,Noureddine Achraf1819ORCID,Dogra Prashant122122ORCID

Affiliation:

1. Mathematics in Medicine Program, Department of Medicine

2. Houston Methodist Research Institute

3. Physiology, Biophysics, and Systems Biology Program, Graduate School of Medical Sciences

4. Weill Cornell Medicine

5. Department of Electrical Engineering and Computer Science

6. Massachusetts Institute of Technology

7. Department of Chemical, Materials, and Industrial Production Engineering

8. University of Naples Federico II

9. Department of Medicine, Houston Methodist

10. Department of Medicine

11. Neal Cancer Center

12. Department of Imaging Physics

13. University of Texas M.D. Anderson Cancer Center

14. Rutgers Cancer Institute

15. Division of Cancer Biology, Department of Radiation Oncology

16. Rutgers New Jersey Medical School

17. Division of Hematology/Oncology, Department of Medicine

18. Department of Chemical and Biological Engineering

19. University of New Mexico

20. College of Pharmacy

21. Department of Physiology and Biophysics

22. Weill Cornell Medical College

23. Department of Electrical and Computer Engineering

24. University of Houston

Funder

National Cancer Institute

National Institute of Biomedical Imaging and Bioengineering

Publisher

American Chemical Society (ACS)

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