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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Suraj Rajendran
About me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Development of a Practical Arthritic Grip for Common Use
Our project began as an investigation of difficulties that osteoarthritic patients may have in their daily lives and current solutions that attempt to solve those problems. We focused mainly on osteoarthritis (OA) in hands due to its prevalence in the elderly population. After several prototype iterations, we came up with a final design that greatly reduced to force needed to insert kitchen utensils and increased the number of compatible utensils.
Deriving Actionable Strategies Using Machine Learning and Correlation Analysis
Our goal with this project was to figure out how CarMax could best tailor it’s marketing & inventory strategies to draw in distinct segments of customers. We proposed the development of the Oracle User Interface Tool, which would provide a personalized experience for CarMax users. Our proposal won 1st place at the CarMax Analytics Competition.
Novel Surgical Training Simulator for Lateral Access Spine Surgery
We built a training model for Mayo Clinic resident neurosurgeons to use when learning the the lateral access lumbar fusion (LLIF) procedure.
Addressing Inequities in Academic Recognition Standards for Disadvantaged Groups at the Georgia Institute of Technology
We submitted a proposal to Georgia Tech’s Student Innovation Competition – Promoting Equity and Access which was further reviewed by the Georgia State Board in Fall of 2022 for implementation.
A Novel Three-Pronged Framework to Increase Blood Donations in the 21st Century
Our team submitted a proposal to the Dept. of Health and Human Services on increasing blood donations with novel technologies.
publications
Machine learning for prospective identification of immunotherapy related adverse events (irAEs)
Published in 2020 ASCO Annual Meeting, 2020
Citation: Margalski, Daniel, et al. “Machine Learning for Prospective Identification of Immunotherapy Related Adverse Events (Iraes).” Journal of Clinical Oncology, vol. 38, no. 15_suppl, 2020, https://doi.org/10.1200/jco.2020.38.15_suppl.e14064.
Extracting smoking status from electronic health records using NLP and deep learning
Published in AMIA Summits on Translational Science Proceedings, 2020
Citation: Rajendran S, Topaloglu U. Extracting Smoking Status from Electronic Health Records Using NLP and Deep Learning. AMIA Jt Summits Transl Sci Proc. 2020 May 30;2020:507-516. PMID: 32477672; PMCID: PMC7233082.
Cloud-Based Federated Learning Implementation Across Medical Centers
Published in JCO Clinical Cancer Informatics, 2021
Citation: Rajendran S, Obeid JS, Binol H, D Agostino R Jr, Foley K, Zhang W, Austin P, Brakefield J, Gurcan MN, Topaloglu U. Cloud-Based Federated Learning Implementation Across Medical Centers. JCO Clin Cancer Inform. 2021 Jan;5:1-11. doi: 10.1200/CCI.20.00060. PMID: 33411624; PMCID: PMC8140794.
In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare
Published in Frontiers in Artificial Intelligence, 2021
Citation: Topaloglu MY, Morrell EM, Rajendran S, Topaloglu U. In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare. Front Artif Intell. 2021 Oct 6;4:746497. doi: 10.3389/frai.2021.746497. PMID: 34693280; PMCID: PMC8528445.
Predicting criminal recidivism using specialized feature engineering and XGBoost
Published in CrimRxiv, 2021
Citation: Rajendran, S., & Sundararajan, P. (2021). Predicting criminal recidivism using specialized feature engineering and XGBoost. CrimRxiv. https://doi.org/10.21428/cb6ab371.d95f8c48
Distance Traveled to Tertiary Care as Prognostic Indicator in Intracerebral Hemorrhage Outcomes
Published in Society of Critical Care Medicine, 2022
Citation: Rajendran, S. , Ong, T. , Zameza, P. , Wolfe, S. , Topaloglu, U. , Duncan, P. , Anwar, M. , Samuel, R. , Budigi, B. , Lack, C. & Sarwal, A. (2022). 779: DISTANCE TRAVELED TO TERTIARY CARE AS PROGNOSTIC INDICATOR IN INTRACEREBRAL HEMORRHAGE OUTCOMES. Critical Care Medicine, 50 (1), 384-384. doi: 10.1097/01.ccm.0000809440.55714.3d.
Creation of a Proof-of-Concept 3D-Printed Spinal Lateral Access Simulator
Published in Cureus, 2022
Citation: Pullen, M. W., Valero-Moreno, F., Rajendran, S., Shah, V. U., Bruneau, B. R., Martinez, J. L., Ramos-Fresnedo, A., Quinones-Hinojosa, A., & Fox, W. C. (2022). Creation of a Proof-of-Concept 3D-Printed Spinal Lateral Access Simulator. Cureus, 14(5), e25448. https://doi.org/10.7759/cureus.25448
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: A retrospective model development and validation study
Published in The Lancet Digital Health, 2023
Citation: Barnes, J., Brendel, M., Gao, V. R., Rajendran, S., Kim, J., Li, Q., Malmsten, J. E., Sierra, J. T., Zisimopoulos, P., Sigaras, A., Khosravi, P., Meseguer, M., Zhan, Q., Rosenwaks, Z., Elemento, O., Zaninovic, N., & Hajirasouliha, I. (2023). A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study. The Lancet. Digital health, 5(1), e28–e40. https://doi.org/10.1016/S2589-7500(22)00213-8
Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care
Published in PLOS Digital Health, 2023
Citation: Rajendran, S., Xu, Z., Pan, W., Ghosh, A., & Wang, F. (2023). Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care. PLOS digital health, 2(3), e0000117. https://doi.org/10.1371/journal.pdig.0000117
Biomedical discovery through the integrative biomedical knowledge hub (iBKH)
Published in Iscience, 2023
Citation: Su, C., Hou, Y., Zhou, M., Rajendran, S., Maasch, J. R. M. A., Abedi, Z., Zhang, H., Bai, Z., Cuturrufo, A., Guo, W., Chaudhry, F. F., Ghahramani, G., Tang, J., Cheng, F., Li, Y., Zhang, R., DeKosky, S. T., Bian, J., & Wang, F. (2023). Biomedical discovery through the integrative biomedical knowledge hub (iBKH). iScience, 26(4), 106460. https://doi.org/10.1016/j.isci.2023.106460
Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study
Published in Journal of Medical Internet Research, 2023
Citation: Cao, Y., Rajendran, S., Sundararajan, P., Law, R., Bacon, S., Sumner, S. A., & Masuda, N. (2023). Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study. Journal of medical Internet research, 25, e45171. https://doi.org/10.2196/45171
Predicting Embryo Ploidy Status Using Time-lapse Images
Published in Human Reproduction, 2023
Citation: S Rajendran and others, O-120 Predicting Embryo Ploidy Status Using Time-lapse Images, Human Reproduction, Volume 38, Issue Supplement_1, June 2023, dead093.147, https://doi.org/10.1093/humrep/dead093.147
An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals
Published in Cell Patterns, 2024
Citation: Pan, W., Xu, Z., Rajendran, S., & Wang, F. (2023). An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitals. Patterns (New York, N.Y.), 5(1), 100898. https://doi.org/10.1016/j.patter.2023.100898
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation
Published in Cell Patterns, 2024
Citation: Rajendran, S., Pan, W., Sabuncu, R. M., Chen, Y., Zhou, J., & Wang, F. (2023). Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation. Patterns, 100913. https://doi.org/10.1016/j.patter.2023.100913
High-speed optical imaging with sCMOS pixel reassignment
Published in Nature Communications, 2024
Citation: Mandracchia, B., Zheng, C., Rajendran, S. et al. High-speed optical imaging with sCMOS pixel reassignment. Nat Commun 15, 4598 (2024). https://doi.org/10.1038/s41467-024-48987-7
Automatic ploidy prediction and quality assessment of human blastocysts using time-lapse imaging
Published in Nature Communications, 2024
Citation: Rajendran, S., Brendel, M., Barnes, J. et al. Automatic ploidy prediction and quality assessment of human blastocysts using time-lapse imaging. Nat Commun 15, 7756 (2024). https://doi.org/10.1038/s41467-024-51823-7
talks
Effect of Flow Regime on Snowflake Yeast Evolution
Published:
Here is a link to the poster.
Predicting criminal recidivism using specialized feature engineering and XGBoost
Published:
The National Institute of Justice’s (NIJ) “Recidivism Forecasting Challenge” (the Challenge) aims to increase public safety and improve the fair administration of justice across the United States.
Intro to Machine Learning
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Here is a link to the talk.
Federated Learning and Data Heterogeneity
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Watch the recording here!
Predicting Embryo Ploidy Status Using Time-lapse Images
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Here is my talk!
FEMI: A Foundation Model for Embryology Trained on Time-lapse Images
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We presented at ESHRE 2024. Here is my talk!
STEM From Podcast, Where does your journey STEM from?
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I was on the STEM From podcast with Dr. Carina Minardi. Check it out here.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.