Kalibrierung eines auf Maschinenlernen Basierten Agenten für Klinische Versuche
Anmelder: Medidata Solutions, Inc. 🇺🇸
Details
- Veröffentlichungs-Nr.
- EP4807753
- Anmeldetag
- 16. Februar 2026
- Veröffentlichung
- 16. September 2026
- Rechtsraum
- EP
- IPC
- G16H10/20, G06N20/00
Abstract
A method implemented by a data processing system for calibrating an artificial intelligence model to provide near real-time outputs during a clinical trial study, comprising: detecting that the one or more attributes for which the one or more values are modified are of a specified type for which an artificial intelligence (AI) model is calibrated; responsive to the detecting, generating a set of input and output data for calibrating the AI model; inputting the set of input and output data into the AI model; calibrating the AI model for the clinical trial study to provide one or more outputs that account in near real-time for the one or more modifications to the one or more values of the clinical trial study; and causing rendering of a graphical user interface with an input portion for inputting a query related to the clinical trial study.
Anmelder
- Firma
- Medidata Solutions, Inc.
- Land
- 🇺🇸 USA
Fachgebiete
Vertreten von
-
Fish & Richardson P.C
Fish & Richardson P.C · München