Name: Role of Artificial intelligence in Pharmacy (en Inglés)
Price: 1095.42 MXN
Availability: InStock
Author: Bandaru, Nagaraju
ISBN: 9786203471694

Envío gratis

portada Role of Artificial intelligence in Pharmacy (en Inglés)

Formato

Libro Físico

Autor

Nagaraju Bandaru

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.3 cm

Peso

0.09 kg.

ISBN13

9786203471694

Categorías

Farmacología

Role of Artificial intelligence in Pharmacy (en Inglés)

Nagaraju Bandaru (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

Libro Nuevo

$ 1,095.42

$ 1,991.68

Ahorras: $ 896.25

45% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Lunes 05 de Agosto y el Viernes 16 de Agosto.

Lo recibirás en cualquier lugar de México entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Role of Artificial intelligence in Pharmacy (en Inglés)"

Artificial intelligence (AI) is a branch of computer science that deals with the problem-solving by the aid of symbolic programming. It has greatly evolved into a science of problem-solving with huge applications in business, health care, and engineering. One of the pivotal applications of AI is the development of the expert system. With the advent of big data and AI, robots are now becoming more trustworthy for doctors, and a large number of institutions are now employing robots along with human supervision to carry out activities that were previously done by humans. The major advantage of AI is that it reduces the time that is needed for drug development and, in turn, it reduces the costs that are associated with drug development, enhances the returns on investment and may even cause a decrease in cost for the end user. Future toxicity and safety challenges, including increased polypharmacy and patient diversity, stress the limits of these traditional tools. Massive amounts of newly available data present an opportunity for using artificial intelligence (AI) and machine learning to improve drug safety science.