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The Marco Ramoni Distinguished Paper Award for Translational Bioinformatics is presented annually at the AMIA Informatics Summit to a first author of the paper at the meeting that best exemplifies the spirit and scholarship of Marco Ramoni in applying informatics methods to the elucidation of basic molecular biology processes that are relevant to the conquest of human disease. Selection of the award will be determined by the TBI Scientific Program Committee. Article will also be recommended for journal publication.

Past Winners


Multivariate mediation analysis with voxel-based morphometry revealed the neurodegeneration pathways from genetic variants to Alzheimer's Disease

  • Shizhuo Mu, Jingxuan Bao, Hanxiang Xu, Manu Shivakumar, Shu Yang, Xia Ning, Dokyoon Kim, Christos Davatzikos, Haochang Shou, Li Shen (Penn, OSU)


Discovering Precision AD Biomarkers with Varying Prognosis Effects in Genetics Driven Subpopulations

  • Brian Lee, et al.


A Multi-view Gaussian Gene Embedding Learner for Analyzing Transcriptomic Networks

  • Sudhir Ghandikota, Anil Jegga


Developing a FHIR-based Framework for Phenome Wide Association Studies: A Case Study with A Pan-cancer Cohort

  • Nansu Zong, Deepak Sharma, Yue Yu, Jan Egan, Jaime Davila, Chen Wang, Guoqian Jian, Mayo Clinic


Approaching Neural Net Feature Interpretation Using Stacked Autoencoders: Gene Expression Profiling of Systemic Lupus Erythematosus Patients

  • Matthew K. Breitenstein, Vincent Hu, Roopal Bhatnagar, Madhavi Ratnagiri


A Computational Approach for Prioritizing Selection of Therapies Targeting Drug Resistant Variation in Anaplastic Lymphoma Kinase

  • Matthew D. McCoy and Subha Madhavan, Georgetown University


Towards Generation, Management, and Exploration of Combined Radiomics and Pathomics Datasets for Cancer Research

  • Joel Saltz, Jonas Almeida, Yi Gao, Stony Brook University; Ashish Sharma, Emory University; Erich Bremer, Tammy DiPrima, Mary Saltz, Stony Brook University; Jayashree Kalpathy-Cramer, Massachusetts General Hospital; Tahsin Kurc, Stony Brook University


Gene Co-Expression Analysis Predicts Genetic Variants Associated with Drug Responsiveness in Lung Cancer

  • Kun Huang, Sanaya Shroff, Jie Zhang, The Ohio State University and Cornell University


Novel Application of Junction Trees to the Interpretation of Epigenetic Differences among Lung Cancer Subtypes

  • Arturo Lopez Pineda and Vanathi Gopalakrishnan, University of Pittsburgh School of Medicine


New Genetic Variants Improve Personalized Breast Cancer Diagnosis

  • Jie Liu, David Page, Peggy Peissig, Catherine McCarty, Adedayo A. Onitilo, Amy Trentham-Dietz, and Elizabeth Burnside; University of Wisconsin, Marshfield Clinic Essentia Institute of Rural Health, and University of Queensland


Automated Detection of Systematic Off-label Drug Use In Free Text of Electronic Medical Records

  • Kenneth Jung


Clinical utility of sequence-based genotype compared with that derivable from genotyping arrays

  • Alexander A. Morgan, Rong Chen, Atul J. Butte.


The application of naive Bayes model averaging to predict Alzheimer's disease from genome-wide data

  • Wei Wei, Shyam Visweswaran, Gregory F Cooper.


The Application of Naive Bayes Model Averaging to Predict Alzheimer’s Disease from Genome-Wide Data

  • Wei Wei, University of Pittsburgh