output
20202026
most citedAdvancing Drug Resistance Research Through Quantitative Modeling and Synthetic Biology

11 citations

5 papers

cs.AR2026

ORRAM: An OpenROAD-Integrated RAM Generator Using Standard Cells

Brayden Louie, Thinh P. Nguyen, Matt Liberty +1

Memory inference remains a significant challenge in turnkey ASIC design flows. Inferring flip-flops from RTL can create thousands of densely interconnected instances which dramatic…

q-bio.QM2025

Interactive visualization of kidney micro-compartmental segmentations and associated pathomics on whole slide images

Mark S. Keller, Nicholas Lucarelli, Yijiang Chen +13

Application of machine learning techniques enables segmentation of functional tissue units in histology whole-slide images (WSIs). We built a pipeline to apply previously validated…

cs.RO2025

ARMimic: Learning Robotic Manipulation from Passive Human Demonstrations in Augmented Reality

Rohan Walia, Yusheng Wang, Ralf Römer +3

Imitation learning is a powerful paradigm for robot skill acquisition, yet conventional demonstration methods--such as kinesthetic teaching and teleoperation--are cumbersome, hardw…

q-bio.PE2021★ 10 cited

Does Non-Genetic Heterogeneity Facilitate the Development of Genetic Drug Resistance?

Kevin S. Farquhar, Samira Rasouli Koohi, Daniel A. Charlebois

Non-genetic forms of antimicrobial drug resistance can result from cell-to-cell variability that is not encoded in the genetic material. Data from recent studies also suggest that…

q-bio.QM2020★ 11 cited

Advancing Drug Resistance Research Through Quantitative Modeling and Synthetic Biology

K. Farquhar, H. Flohr, D. A. Charlebois

Antimicrobial resistance is an emerging global health crisis that is undermining advances in modern medicine and, if unmitigated, threatens to kill 10 million people per year world…