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DEVELOPMENT OF A WEB-BASED PREDICTIVE MODEL OF NANOPARTICLE DELIVERY TO TUMORS BY INTEGRATING PHYSIOLOGICALLY-BASED PHARMACOKINETIC MODELING WITH ARTIFICIAL INTELLIGENCE - PROJECT SUMMARY AND ABSTRACT MANY STUDIES HAVE S

USAspending · observation · Publication date unknown

DEVELOPMENT OF A WEB-BASED PREDICTIVE MODEL OF NANOPARTICLE DELIVERY TO TUMORS BY INTEGRATING PHYSIOLOGICALLY-BASED PHARMACOKINETIC MODELING WITH ARTIFICIAL INTELLIGENCE - PROJECT SUMMARY AND ABSTRACT MANY STUDIES HAVE SHOWN THAT NANOPARTICLE (NP)-BASED DRUG FORMULATIONS ARE EFFECTIVE IN THE DIAGNOSIS AND TREATMENT OF CANCER IN LAB ANIMALS, BUT THE TRANSLATION OF ANIMAL RESULTS TO CLINICAL SUCCESS IS LOW. THIS IS PARTLY DUE TO TWO FUNDAMENTAL CHALLENGES IN THIS FIELD, WHICH ARE LOW DELIVERY EFFICIENCY OF NPS TO THE TUMOR AND LACK OF A ROBUST COMPUTATIONAL MODEL TO ACCOUNT FOR NP PHARMACOKINETI

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recordType
award
region
US
value
1831265
unit
USD

Evidence & attribution

First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.