Bypassing the Translational Bottleneck in Cancer Nanomedicine: A Unified Bedside Framework

This correspondence outlines a novel, closed-loop bedside framework for advanced cancer drug delivery. By unifying machine learning-driven shape customization with point-of-care erythrocyte membrane coatings and pH-sensitive molecular linkages, the proposed framework integrates biological, physical, and computational barriers into a singular clinical architecture to successfully overcome patient-specific delivery bottlenecks and immune clearance.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-28
DOI
https://doi.org/10.5281/zenodo.23019632
Primary Topic
Nanoplatforms for cancer theranostics
Type
article
Field-Weighted Citation Impact
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article

Bypassing the Translational Bottleneck in Cancer Nanomedicine: A Unified Bedside Framework

Prerna Mehta
Zenodo (CERN European Organization for Nuclear Research)
Nanoplatforms for cancer theranostics
article

Bypassing the Translational Bottleneck in Cancer Nanomedicine: A Unified Bedside Framework

Prerna Mehta
article en

Abstract

This correspondence outlines a novel, closed-loop bedside framework for advanced cancer drug delivery. By unifying machine learning-driven shape customization with point-of-care erythrocyte membrane coatings and pH-sensitive molecular linkages, the proposed framework integrates biological, physical, and computational barriers into a singular clinical architecture to successfully overcome patient-specific delivery bottlenecks and immune clearance.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 21%
Nanoplatforms for cancer theranostics
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Bypassing the Translational Bottleneck in Cancer Nanomedicine: A Unified Bedside Framework — Prerna Mehta · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS