Core Ethical Axiom: "Unsourced Numbers Do Not Compute"
In human physiology and medicine, probabilistic guessing masquerading as certainty is a catastrophic failure mode. TelarisBio designs systems where computational refusal is preferable to unverified output.
1. Deterministic Verification Over Probabilistic Guesswork
Generative language models excel at natural language comprehension but lack physical and quantitative grounding. TelarisBio enforces a strict architectural division:
- Language Models Assist, Not Dictate: Our upcoming anatomical language model acts as an exploratory and reasoning interface, not the computational ground truth.
- Hard Verification Gates: Every physiological equation (e.g., CKD-EPI 2021 filtration equations, KDIGO stages) must be grounded in primary peer-reviewed literature with explicit digital citations. Unverified inputs trigger immediate computational refusal.
2. Traceability & Source Citation
Every parameter, morphometric boundary, and kinetic constant within our models is keyed to an exact citation record (author, year, publication DOI, and clinical population). There are no "black-box" magic numbers.
3. Bias Mitigation Across Patient Demographics
Physiological formulas often embed demographic or regional variances that can introduce systematic diagnostic bias if misapplied:
- We explicitly block models when applied outside their validated geographic and clinical cohorts (for example, refusing North American coefficients on non-NA populations without proper recalibration evidence).
- As cohort data becomes available we will validate across diverse multiscale baselines, to avoid over-indexing on single-demographic reference anatomies.
4. Human-in-the-Loop & Clinician Oversight
TelarisBio is engineered to empower clinician researchers, medical educators, and physiological systems modelers—never to supersede them. Any runtime re-tuning routine automatically exports an audit file specifying the exact parametric changes, delta boundaries, and mathematical rationale for human sign-off.
5. Open Ethics Feedback
We invite clinicians, bioethicists, and AI safety researchers to audit our boundary logic:
Email: info@telarisbio.com