Sixing HuangClinical Trial Search with Google Spanner: Graph, SQL, Vector, and LLM All in One QueryBuild a multi-model database that connects drugs, disorders, and clinical trialsSep 2Sep 2
Sixing HuangEstimate House Price in Tokyo: the AutoML and MLOps ApproachManaging the H2O AutoML project with Weights & BiasesAug 4Aug 4
Sixing HuanginCodeXOld Drugs, New Uses: the Graph Neural Network ApproachUsing PyG’s link prediction to find new drug indicationsMay 8May 8
Sixing HuanginCodeXKnow Your Drugs: A Knowledge Graph for Drug-Drug-Disease InteractionsBuild a shared database for drugmakers, FDA, doctors, and patientsMar 1Mar 1
Sixing HuanginCodeXGetting Insights from 3,000+ Clinical Trials in a Knowledge GraphBuild an analytic platform with Google Healthcare Natural Language API, the Unified Medical Language System, and Neo4jFeb 5Feb 5
Sixing HuanginCodeXGraph or Grove? Ecosystem Services Valuation with Graph Machine Learning and Random ForestEvaluating Neo4j’s Graph Data Science, Sklearn and Google AutoML Tabular with the Ecosystem Services Valuation DatabaseJan 14Jan 14
Sixing HuanginCodeXDashboarding Neo4j Data in Looker Studio: A Powerful CombinationAnalyzing graph data in a dashboard for quick statistical insightsNov 16, 2023Nov 16, 2023
Sixing HuanginCodeXiGEM, GCP, and Neo4j: Where Synthetic Biology Meets Artificial IntelligenceReorganize the iGEM Parts Registry for synthetic biologistsOct 25, 2023Oct 25, 2023
Sixing HuanginCodeXThe Same, or Not the Same — That is the Problem of Entity ResolutionFour methods for finding identical or similar entities in Biomedical and Customer DataSep 24, 20233Sep 24, 20233
Sixing HuanginCodeXFrom Raw Text to Wikidata Taxonomy and Knowledge GraphExtracting knowledge semi-automatically with GCP, GPT, and WikidataAug 22, 20231Aug 22, 20231