Physical AI Oncology Trial Industry Specification and Pharmaceutical Implementation Standard

This document is the Physical AI Oncology Trial Industry Specification and Pharmaceutical Implementation Standard (PAIOTIS) v1.0, a formal industry standard that establishes the Physical AI oncology trial industry by unifying all technical, regulatory, operational, and commercial infrastructure developed across four foundational repositories into one executable standard. Pharmaceutical and biotechnology companies can adopt this specification presented here immediately.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-13
DOI
https://doi.org/10.5281/zenodo.18994578
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Physical AI Oncology Trial Industry Specification and Pharmaceutical Implementation Standard

Kevin Kawchak
Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

Physical AI Oncology Trial Industry Specification and Pharmaceutical Implementation Standard

Kevin Kawchak
article en

Abstract

This document is the Physical AI Oncology Trial Industry Specification and Pharmaceutical Implementation Standard (PAIOTIS) v1.0, a formal industry standard that establishes the Physical AI oncology trial industry by unifying all technical, regulatory, operational, and commercial infrastructure developed across four foundational repositories into one executable standard. Pharmaceutical and biotechnology companies can adopt this specification presented here immediately.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 25%
Artificial Intelligence in Healthcare and Education
DOIOpen Access PDFOpenAlex
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Physical AI Oncology Trial Industry Specification and Pharmaceutical Implementation Standard — Kevin Kawchak · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS