[ ACADEMIC-TO-COMMERCIAL TRANSLATION ]

Taking research toward a regulated product

Ten paths for the position most guidance skips: a discovery that might become a product, held by people with no quality organisation yet and nobody down the corridor to ask. The obligations start before the hiring does.

WHAT THIS IS NOT

Orientation for translating research toward a regulated product — not a determination of device status, regulatory pathway, submission type or clinical adequacy, and not a substitute for qualified regulatory advice. SPEQ is independent: linked institutions, incubators and agencies are third parties, and nothing here implies affiliation, endorsement or partnership with any of them.

IF YOU READ NOTHING ELSE

The expensive early mistakes are almost never wrong decisions. They are undocumented ones — a material with no recorded provenance, a cell bank with no history, a process change nobody wrote down. Decisions can be revisited. Provenance cannot be reconstructed, because the people and the paperwork move on.

How to use this library

Find where your programme actually is, not where you would like it to be. Each path opens with the signals that you are there, what to decide now, and — the part that matters most early — which records to start keeping, because provenance is the one thing that cannot be reconstructed later.

Orientation for translating research toward a regulated product — not a determination of device status, regulatory pathway, submission type or clinical adequacy, and not a substitute for qualified regulatory advice. SPEQ is independent: linked institutions, incubators and agencies are third parties, and nothing here implies affiliation, endorsement or partnership with any of them.

New to GxP? Start with Navigator →
10 guidance paths
Journey order
COMPLETE INDEX — ALL 10 GUIDANCE PATH

Every path names its official third-party sources and links them directly. SPEQ is independent of the institutions and agencies it links.

BUILDING AN AI-ENABLED CLINICAL WORKFLOW?

Twelve stages from context of use to controlled model change, with a worked synthetic imaging case and the six ways it goes wrong. Six questions to start.

AI-enabled imaging journey →

BUILDING IN ST. LOUIS?

The same paths, plus what the local bioscience ecosystem provides and where it hands off — with every organization link verified and dated.

St. Louis life-sciences startups →