WeDaita BioMedAIWeDaita Biomedical AI
Your intelligent biomedical AI platform powered by advanced AI agents and WeDaita MCP services. Leveraging verified medical databases and clinical knowledge, we deliver precise and accurate insights for clinical trials, medical literature, and drug discovery research.
Case Studies
Explore our biomedical research capabilities through real examples.
Clinical Trial Data Insights
Focuses on analyzing and interpreting data from clinical trials, including patient cohorts, endpoints, adverse events, and outcome measures.
Drug–Disease Relationship Mining
Explores associations between drugs and diseases using literature, databases, and knowledge graphs to support drug repurposing, MoA insights, or indication discovery.
Biomarker Discovery & Validation
Identifies and evaluates biomarkers for diagnosis, prognosis, or treatment response using molecular, imaging, or clinical data.
Integrated Multi-Omics Profiling
Combines genomics, transcriptomics, proteomics, metabolomics, and/or epigenomics to understand complex biological systems or disease mechanisms.
Small Molecule Target Analysis
Analyzes small molecule compounds for their binding targets, bioactivity, and pharmacokinetic profiles to guide drug development or screening.
Therapeutic Antibody Profiling
Examines monoclonal antibodies or antibody–drug conjugates, including epitope mapping, affinity data, and therapeutic indications.
Vaccine Development Insights
Supports vaccine research by analyzing immune responses, antigen design, adjuvant selection, and population-level efficacy.
Preclinical Toxicity & Safety Studies
Investigates toxicity, safety pharmacology, and off-target effects from in vivo or in vitro models before clinical testing.
WeDaita MCP Services
Discover how our biomedical AI agents enhance your research capabilities by our MCP services.
WeDaita BioMed MCP
Powers biomedical research and modeling with integrated access to databases such as PubMed, ClinicalTrials.gov, OpenTargets, OpenFDA, GTEx, DGIdb, ChEMBL, and UniProt; enables literature mining, target discovery, and multi-omics data integration.
WeDaita Object Storage MCP
Manages unstructured files such as raw datasets, reports, documents, and media used across research workflows.
WeDaita Structured Data MCP
Enables querying, analysis, and forecasting on structured datasets including clinical trial records, experimental results, and curated biological tables.
WeDaita Workflow MCP
Orchestrates and manages complex data analysis workflows, enabling seamless coordination between research, analysis, and reporting tasks across biomedical AI pipelines.
WeDaita Model MCP
Serves machine learning models for real-time prediction, classification, and generative tasks across domains.