Основной контент книги Big Data for Big Pharma
Text

0+

Big Data for Big Pharma

An Accelerator for The Research and Development Engine?
€16,99

Über das Buch

Raising costs, ever-increasing regulatory hurdles, and mounting difficulties in finding the next blockbuster drug are just a few of the challenges Big Pharma currently has to face for its research and development process, the heart of its risky business.


Big Data claims to be full of insights that Big Pharma need to find a way of harvesting, which could lead to new compounds. Academics, Big Data start-ups, and pharmaceutical companies have focused their research efforts on analytic tools and data technologies to store, collect, analyse, and extract these insights from massive data sets. However, the key question is whether the Big Data hype really does have the claimed accelerating effect on the complex research and development process or if it actually creates another hurdle for Big Pharma innovation.


Malena Johannes' timely book sheds light on this question by examining the top 5 pharmaceutical companies and provides an overview on the status quo of Big Data applications within the pharmaceutical industry.

Einloggen, um das Buch zu bewerten und eine Bewertung zu hinterlassen
Buch Malena Johannes «Big Data for Big Pharma» — herunterladen im fb2-, txt-, epub-, pdf-Format oder online lesen. Hinterlassen Sie Kommentare und Bewertungen, stimmen Sie für Ihre Favoriten.
Altersbeschränkung:
0+
Veröffentlichungsdatum auf Litres:
26 Mai 2021
ISBN:
9783838269429
Verleger:
Rechteinhaber:
Автор
Download-Format:
Audio
Средний рейтинг 4,1 на основе 1078 оценок
Audio
Средний рейтинг 4,7 на основе 382 оценок
Text
Средний рейтинг 4,9 на основе 1508 оценок
Audio
Средний рейтинг 4,8 на основе 5292 оценок
Text PDF
Средний рейтинг 4,6 на основе 41 оценок
Text, audioformat verfügbar
Средний рейтинг 4,7 на основе 1905 оценок
Audio
Средний рейтинг 4,1 на основе 76 оценок
Text, audioformat verfügbar
Средний рейтинг 4,7 на основе 7210 оценок
Audio
Средний рейтинг 4,5 на основе 199 оценок
Text
Средний рейтинг 0 на основе 0 оценок