What BioinvestGPT BVCT is, the six DECIDE values, the 6-stage pipeline, and how to find what you need.
BioinvestGPT BVCT is a Data-Free Virtual Clinical Trial platform. A BVCT (BioinvestGPT Virtual Clinical Trial) predicts the clinical effect size and a clear GO/NO-GO recommendation for a drug program — derived from the drug's design and the underlying disease biology, not from proprietary patient data.
This is the core distinction from data-driven approaches. Conventional clinical prediction tools need historical trial data or patient records to train on. BVCT does not. It reasons forward from the molecule's structure and the causal biology of the indication to a quantified, decision-ready verdict — so you can de-risk a decision long before any patient is enrolled, and on programs where no comparable trial data exists yet.
Use a BVCT anywhere a real trial would be too slow, too expensive, or simply not yet possible: validating a novel target, comparing differential drug designs, forecasting a phase-advancement readout, pricing a pipeline asset for M&A, or sizing a label-expansion opportunity head-to-head against standard of care.
Everything the platform does maps to six properties, spelled out by the acronym DECIDE. These are the values shown on the welcome page when you first arrive:
| Letter | Value | What it means |
|---|---|---|
| D | Drug-design-based | No patient data, drug structure only |
| E | Effect-size-quantified | Precise HR, ORR, PFS, OS predictions |
| C | Causal-biology-driven | Root cause, not black-box probability |
| I | Independent of prior data | Zero proprietary data required |
| D | Decision-ready | Pre-GO/NO-GO with commercial framing |
| E | Exact SoC-controlled | Head-to-head vs. any standard of care |
Read together: BVCT takes a drug design (D), simulates causal biology (C) independent of any prior data (I), and returns a quantified effect size (E) and a decision-ready verdict (D) benchmarked head-to-head against the exact standard of care (E) you choose.
The Hub is your command center. It lays out drug development as a left-to-right timeline of six stages, from earliest (Variant Discovery) to latest (Label Expansion). Each stage is a card mapped to a real pharma decision gate, and clicking Start on a card opens the workflow pre-configured for that decision.
| # | Stage | Decision gate | What it predicts |
|---|---|---|---|
| 1 | Genetic Variants | Variant Discovery | Clinically de-risks human- and AI-generated molecular predictions across coding and regulatory genetic variants. |
| 2 | FIC Targets | Target Discovery → TCP | Predicts clinical effect sizes for novel first-in-class (FIC) targets for any indication before committing to a Target Candidate Profile. |
| 3 | BIC Drugs | Lead Optimization → CDP | Predicts clinical effect sizes and safety signals for any-modality differential (best-in-class) drug designs before the Candidate Drug Profile. |
| 4 | Programs | Clinical Development → phase advancement | Forecasts trial-ready effect sizes with patient stratification before a phase-advancement GO/NO-GO. |
| 5 | M&A | Portfolio M&A → term sheets | Independently validates pipeline asset valuations with predicted effect sizes before signing term sheets. |
| 6 | Indications | Label Expansion → expansion investment | Predicts head-to-head effect sizes vs. standard of care before committing label-expansion investment. |
Stages 1–3 open the Generator (the 3D knowledge graph and design surface); stages 4–6 open the Validator directly at the matching mission. Each card maps to a dedicated chapter:
Jump straight to the chapter that answers your question. Each link opens the relevant chapter in a new tab.
| I want to… | Go to |
|---|---|
| Run my first BVCT in 10 minutes | Quick Start chapter |
| Create an account, sign in, or explore as a visitor | Getting Started chapter |
| See free, ongoing-trial BVCT results without an account | Free Trial chapter |
| Explore the 3D knowledge graph and navigate disease biology | 3D Knowledge Graph chapter |
| Build a target-disease hypothesis from an example or from scratch | Building Hypotheses chapter |
| De-risk a genetic variant (coding or regulatory) | Genetic Variants (EVEE) chapter |
| Validate a novel FIC target before TCP | Derisk FIC Targets chapter |
| Optimize a drug design across modalities before CDP | Derisk BIC Drugs chapter |
| Use a molecule editor (small molecule, peptide, mAb, ADC, oligo) | Modality Editors chapter |
| Forecast a trial readout before phase advancement | Derisk Programs chapter |
| Independently value a pipeline asset before an M&A term sheet | Derisk M&A chapter |
| Size a label-expansion opportunity head-to-head vs. SoC | Derisk Indications chapter |
| Understand a GO/NO-GO verdict, effect sizes, and reliability | Understanding Results chapter |
| Generate a submission-ready 11-module protocol package | BVCT Packages chapter |
| Manage credits, security, 2FA, or my organization | Account & Security chapter |
| Change language, send feedback, or connect an integration | Settings & Integrations chapter |
| Troubleshoot a problem or look up a question | Troubleshooting & FAQ chapter |
| Look up a term (BVCT, FIC, BIC, HR, SAP, NCT…) | Glossary chapter |
This user guide is a set of focused chapters. There are three ways to find what you need:
Within a chapter, the box near the top (In this chapter) lists that chapter's sections. Numbered step cards walk through each workflow with a screenshot, and colored callouts flag tips, notes, and warnings.
The fastest orientation is the Hub itself: locate the pipeline stage that matches your decision (Genetic Variants → FIC Targets → BIC Drugs → Programs → M&A → Indications), then open the matching chapter from the sidebar or from the I want to… table above. Click Start on a card to run that workflow live.
Deep links are shareable. Any section has a URL of the form #/userguide/<chapter>/<section> — copy it from your address bar to point a colleague at an exact step.
BioinvestGPT BVCT Platform User Guide — Overview. BVCT outputs are model-based decision-support analyses, not investment advice. Prospective track record: data.bioinvestgpt.com.