2023 POSTER PRESENTATIONS COMIN IN APRIL
2022 Poster Presentations:
P01: Precise Detection and Classification of Skin and Breast Cancer Using Deep Learning, Presented by Akash G., Aventior, Inc.
P02: Building an Industry Standard: Semantic Information Model for Flow Cytometry Assay Informatics, Presented by Goce B., Bristol Myers Squibb
P04: Applying the MMP Method on Exemplified Structures in Patents to Create Novel Compounds, Presented by Eufrozina H., Chemaxon
P05: Compliance Screen of 45M Compounds in a Weekend, Presented by Akos P., Chemaxon
P06: Cytocast Cell Simulator to Predict Drug Effects, Presented by Attila C., Cytocast
P07: AI Driven Automation of Model Selection and Data Quality Control in SPR Production Screens, Presented by Spencer C., Genedata, Inc.
P08: End-to-End Workflow Platform for Integrated Biopharmaceutical Development, Presented by Bernie E., Genedata, Inc.
P09: Google’s RAD Lab for Biomedical Research, Presented by Michelle H., Google, Inc.
P10: InChI Status and the FAIR Project, Presented by Stephen H., National Institutes of Health, National Library of Medicine
P11: ElasticBLAST: Accelerating Alignments in the Cloud, Presented by Tom M., National Institutes of Health, National Library of Medicine
P12: NCBI ALFA Release 2 for 900 Million Variants and Allele Frequency from 200 Thousand dbGaP Subjects, Presented by Lon P., National Institutes of Health, National Library of Medicine
P13: The NIBRverse of Drug Discovery, Presented by Rishi G., Novartis Institutes for BioMedical Research
P14: Enabling Data Driven Decisions Using a Knowledge Platform, Presented by Berenice W., ONTOFORCE
P15: Transforming Small-Molecule Drug Discovery with AI Deployment at Scale, Presented by Tamsin M., Optibrium Ltd.
P16: Automatic Clinical Trial Matching at Scale Based on Patient Profiles, Presented by Vibhor G., Pangaea Data
P17: Predicting Length of Stay and Mortality Risk with Unstructured Clinical Notes in Intensive Care Units (ICU), Presented by Vibhor G., Pangaea Data
P18: A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases, Presented by Jingqing Z., Pangaea Data
P19: PIES - Novel AI to Automatically Generate Textual Narratives for Regulatory Reports, Based on Data from Experiments, Presented by Jingqing Z., Pangaea Data
P20: Faster Discoveries with High Performance Computing for Life Sciences, Presented by Mikhail S., Quantori
P21: HDinHD: A Data Portal for Huntington's Disease Research, Presented by Viktoria A., Rancho BioSciences
P22: NCATS FRDB: Fast Response DataBase for Drug Repositioning, Presented by Oleg S., Rancho BioSciences
P23: SiLA & AnIML: Standards-Based Integration in the Digital Lab, Presented by Burkhard S., SiLA Consortium
P24: MethylationToRegulation: A Deep-Learning Approach to Infer Chromatin Properties from DNA Methylomes, Presented by Xiang C., St. Jude Children's Research Hospital
P25: Inferring RNA Secondary Structure Using a Multiple Homologous Sequence Alignment, Presented by Abhinav M., University of Rochester
P26: ModelChecker: A Representation Learning Framework for Similarity Quantification Between Biological Phenotypes Based on Diverse Bulk RNA-Sequencing Datasets, Presented by Mariah H., University of South Dakota
P27: VaxInsight: An AI Tool to Assess Public Perceptions of Vaccination from Social Media, Presented by Hua X., University of Texas Health Science Center at Houston
P28: Automated Sequence Analysis Pipeline Using Nextflow, Presented by Dhanaprakash J., University of Turku
P29: Building the Next Generation AI-Driven Drug Design Engine-Self-Evolving, Learning from Scratch De Novo Drug Design, Presented by Xing C., YDS Pharmatech
P30: Development of End-to-End Data Management to Improve Lead Times, Presented by Gilles S., Cognivia
P31: iSMIS 2.0: A Comprehensive Sample Tracking and Bioinformatics Analysis Platform to Facilitate Genome Editing Assessment, Presented by Ruijia W., Vor Biopharma