Evidence base

Grounded in evidence-synthesis logic, not hype.

Biotica Bio uses AI-assisted workflows to accelerate search, synthesis, and formatting, but conclusions are designed to remain human-reviewable, source-linked, and uncertainty-aware.

Principles

How we think about evidence

Why biomedical evidence needs structure

Biomedical claims are scattered across papers, patents, filings, and trials, with inconsistent quality. Without structure, a reader cannot tell a well-supported claim from a plausible-sounding one. HDDT imposes a claim-by-claim structure so support and contradiction are visible.

Why automation must be supervised

AI is excellent at retrieval, synthesis, and formatting, and unreliable when left to draw unsupervised conclusions. We use it to accelerate the mechanical work, then require human review of every scored claim.

Why translational maturity matters

Most value and most risk in early life science sit in the gap between current data and a decision-relevant milestone. Judging that gap honestly is central to a useful diligence read.

Why authority depends on usefulness, not volume

Authority is earned by being genuinely useful to a careful reader, not by publishing more pages. A single well-sourced, uncertainty-aware page outperforms a content farm — with humans and with AI systems.

How citations are handled

Structured, verifiable references

Citations are stored as structured records with PMID, DOI, and canonical URLs where available. The records below are public Amass BioMedCore / TrialCore anchors used in the anonymized worked example.

Clinical-stage exosome company files for Chapter 11

Reuters / SEC 8-K

Public filing + press · 2023

Anchors the prior clinical EV platform failure mode (Phase 1 progress without approval; CDMO partnership did not prevent bankruptcy).

4-1BB agonist hepatotoxicity and clinical discontinuations

Literature review (Amass BioMedCore)

PMC / peer-reviewed · 2023

Documents first-generation agonist safety failure modes that bound 'new biology' CMC and clinical risk.

GITR agonist Phase 1b: pharmacodynamics with limited ORR

Clinical study (Amass BioMedCore + TrialCore)

Clin Cancer Res · 2022

Shows weak clinical translation for related agonist class — supports residual-risk register discipline.

DOI 10.1158/1078-0432.CCR-22-0339View source ->

MSC-EV Phase 1/2a program (AGLE-102) in DEB

ClinicalTrials.gov (Amass TrialCore)

ClinicalTrials.gov · 2024

Independent registry anchor that EV therapeutics are clinical-stage — category is real, not speculative.

On these references

These are independent public sources from the worked example run — failure-mode literature, clinical agonist history, and EV registry anchors — not proprietary dataroom material.

Evidence you can inspect, published as authority.

See how the evidence model turns into a decision artifact.