Roxana Daneshjou, MD, PhD
Roxana Daneshjou, MD, PhD
Assistant Professor of Biomedical Data Science and Dermatology, Stanford University
Verified email at
Cited by
Cited by
Data-driven prediction of drug effects and interactions
NP Tatonetti, PP Ye, R Daneshjou, RB Altman
Science translational medicine 4 (125), 125ra31-125ra31, 2012
Bioinformatics challenges for personalized medicine
GH Fernald, E Capriotti, R Daneshjou, KJ Karczewski, RB Altman
Bioinformatics 27 (13), 1741-1748, 2011
Genetic variants associated with warfarin dose in African-American individuals: a genome-wide association study
MA Perera, LH Cavallari, NA Limdi, ER Gamazon, A Konkashbaev, ...
The Lancet 382 (9894), 790-796, 2013
How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals
E Wu, K Wu, R Daneshjou, D Ouyang, DE Ho, J Zou
Nature Medicine 27 (4), 582-584, 2021
Disparities in dermatology AI performance on a diverse, curated clinical image set
R Daneshjou, K Vodrahalli, RA Novoa, M Jenkins, W Liang, V Rotemberg, ...
Science advances 8 (31), eabq6147, 2022
Lack of transparency and potential bias in artificial intelligence data sets and algorithms: a scoping review
R Daneshjou, MP Smith, MD Sun, V Rotemberg, J Zou
JAMA dermatology 157 (11), 1362-1369, 2021
Chapter 7: pharmacogenomics
KJ Karczewski, R Daneshjou, RB Altman
PLoS computational biology 8 (12), e1002817, 2012
Checklist for evaluation of image-based artificial intelligence reports in dermatology: CLEAR derm consensus guidelines from the international skin imaging collaboration …
R Daneshjou, C Barata, B Betz-Stablein, ME Celebi, N Codella, ...
JAMA dermatology 158 (1), 90-96, 2022
Genetic variant in folate homeostasis is associated with lower warfarin dose in African Americans
R Daneshjou, ER Gamazon, B Burkley, LH Cavallari, JA Johnson, ...
Blood, The Journal of the American Society of Hematology 124 (14), 2298-2305, 2014
Targeted exon capture and sequencing in sporadic amyotrophic lateral sclerosis
J Couthouis, AR Raphael, R Daneshjou, AD Gitler
PLoS genetics 10 (10), e1004704, 2014
Large language models propagate race-based medicine
JA Omiye, JC Lester, S Spichak, V Rotemberg, R Daneshjou
NPJ Digital Medicine 6 (1), 195, 2023
Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges
R Daneshjou, Y Wang, Y Bromberg, S Bovo, PL Martelli, G Babbi, ...
Human mutation 38 (9), 1182-1192, 2017
PharmGKB summary: very important pharmacogene information for CYP4F2
ML Alvarellos, K Sangkuhl, R Daneshjou, M Whirl-Carrillo, RB Altman, ...
Pharmacogenetics and genomics 25 (1), 41-47, 2015
Genome-wide meta-analysis identifies eight new susceptibility loci for cutaneous squamous cell carcinoma
KY Sarin, Y Lin, R Daneshjou, A Ziyatdinov, G Thorleifsson, A Rubin, ...
Nature communications 11 (1), 820, 2020
Do humans trust advice more if it comes from ai? an analysis of human-ai interactions
K Vodrahalli, R Daneshjou, T Gerstenberg, J Zou
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 763-777, 2022
How to evaluate deep learning for cancer diagnostics–factors and recommendations
R Daneshjou, B He, D Ouyang, JY Zou
Biochimica et Biophysica Acta (BBA)-Reviews on Cancer 1875 (2), 188515, 2021
Pathway analysis of genome-wide data improves warfarin dose prediction
R Daneshjou, NP Tatonetti, KJ Karczewski, H Sagreiya, S Bourgeois, ...
BMC genomics 14, 1-12, 2013
Towards transparency in dermatology image datasets with skin tone annotations by experts, crowds, and an algorithm
M Groh, C Harris, R Daneshjou, O Badri, A Koochek
Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-26, 2022
Pharmacogenomics and big genomic data: from lab to clinic and back again
A Lavertu, G McInnes, R Daneshjou, M Whirl-Carrillo, TE Klein, ...
Human molecular genetics 27 (R1), R72-R78, 2018
Twitter journal clubs: medical education in the era of social media
R Daneshjou, AS Adamson
JAMA dermatology 156 (7), 729-730, 2020
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