417 citations
- Johns Hopkins UniversityUS12 papers
- Johns Hopkins MedicineUS4 papers
- Harvard UniversityUS2 papers
- University of Wisconsin–MadisonUS2 papers
- Brigham and Women's HospitalUS1 paper
- Carnegie Mellon UniversityUS1 paper
- Colorado School of Public HealthUS1 paper
- ConvergenceUS1 paper
- Dalhousie UniversityCA1 paper
- Fred Hutch Cancer CenterUS1 paper
- Georgetown UniversityUS1 paper
- Georgetown University Medical CenterUS1 paper
12 papers
Personalized Prediction of Perceived Message Effectiveness Using Large Language Model Based Digital Twins
Jasmin Han, Janardan Devkota, Joseph Waring +8
Perceived message effectiveness (PME) by potential intervention end-users is important for selecting and optimizing personalized smoking cessation intervention messages for mobile…
Integrated vortex-assisted electroporation platform with enhanced throughput for genetic delivery to primary cells
Hyun Woo Sung, Soojung Claire Hur
Primary human cells offer the most faithful representation of native human physiology, yet their practical utility is constrained by the difficulty of introducing exogenous genetic…
Evaluation of simulation methods for tumor subclonal reconstruction
Jiaying Lai, Yunzhou Liu, Robert B. Scharpf +1
Most neoplastic tumors originate from a single cell, and their evolution can be genetically traced through lineages characterized by common alterations such as small somatic mutati…
Ten Quick Tips for Deep Learning in Biology
Benjamin D. Lee, Anthony Gitter, Casey S. Greene +17
Machine learning is a modern approach to problem-solving and task automation. In particular, machine learning is concerned with the development and applications of algorithms that…
Analysis of regression discontinuity designs using censored data
Youngjoo Cho, Chen Hu, Debashis Ghosh
In medical settings, treatment assignment may be determined by a clinically important covariate that predicts patients' risk of event. There is a class of methods from the social s…
MPRAD: A Multiparametric Radiomics Framework
Vishwa S. Parekh, Michael A. Jacobs
Multiparametric radiological imaging is vital for detection, characterization and diagnosis of many different diseases. The use of radiomics for quantitative extraction of textural…