Automated computer vision and dose–response modeling improve throughput and accuracy of an ex vivo functional precision medicine platform

N Noah Bell A Andrew Buckley B Breanna Mann X Xiaopei Zhang A Adebimpe Adefolaju (Division of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina) R Rajaneekar Dasari R Rami Darawsheh D David E. Kram S Shawn Hingtgen A Andrew B. Satterlee (Division of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina)

Article Details

Volume / Issue Vol. 16, Issue 1
Published December 16, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (10)

N

Noah Bell

A

Andrew Buckley

B

Breanna Mann

X

Xiaopei Zhang

A

Adebimpe Adefolaju

Division of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina

R

Rajaneekar Dasari

R

Rami Darawsheh

D

David E. Kram

S

Shawn Hingtgen

A

Andrew B. Satterlee

Division of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina