Chapter: Data mining for better protocols

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Home > Innovation in Clinical Trial Methodologies > Data mining for better protocols

Innovation in Clinical Trial Methodologies |

Peter Schueler

Academic Press

Innovation in Clinical Trial Methodologies

Data mining for better protocols

Chapter Info

Authors

Fareed Mehlem

ARI Id

1665418157062_16728137

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Not Available Free

Pages

71-76

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Chapters/Headings	Author(s)	Pages	Info
Introduction
Is the Covid pandemic an accelerator for digitalization in our industry?	Peter Schüler	3-4
Best practices for streamlining development	Wolfgang Renz	5-10
Alternative study concepts requiring less patients
Use of historic control data	Tim Clark; William C. Maier	13-25
Adaptive and platform trials	Simon Day	27-38
A vision: in silico clinical trials without patients	Lesley A. Ogilvie; Damian T. Rieke; Hans Lehrach	39-48
Studies with less patient interaction
The patient as sub-investigator	Brendan M. Buckley	51-54
Home nursing replacing site visits	Melissa Hawking	55-60
Virtual visits: moving clinical trials visits from clinics to homes	John Reites	61-67
Digitalized planning - digitalized studies
Data mining for better protocols	Fareed Mehlem	71-76
Patient-powered registries for population enrichment	Peter L. Kolominsky-Rabas	77-84
How to make a protocol patient-centric?	Peter Schüler	85-90
The use of new digital endpoints	Bill Byrom	91-108
Clinical trial app regulations	Urs-Vito Albrecht	109-111
The trial site	Brendan M. Buckley; Frank M. Berger	113-120
A single-center “virtual” trial with patients across the USA	Miguel Orri	121-132
From data to decisions
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