Engineering the emergence of diagnostic information at the nano–bio interface: Supplementary Information (extended version) and code
Year: 2026
Type: article
Abstract: Extended version of the Supplementary Information of the Comment “Engineering the emergence of diagnostic information at the nano–bio interface” by D. Pozzi and G. Caracciolo. The document derives the readout-space calibration (equation 1 of the Comment), states the assumptions under which it holds (linear response, equal covariance, censoring, pooling, batch effects) and verifies its main statements in simulation. It also sets out a worked path from calibration on healthy donors and pooled samples to cohort sizing and clinical validation. The Python script sim.py reproduces every number and Figure S1 from synthetic data, with a fixed random seed. The derivations and code were developed with a large language model (Claude, Anthropic) at the authors’ direction and verified by the authors.
Author: Pozzi, Daniela
Institution: Sapienza University of Rome
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7225391026