Artificial Intelligence: From Drug Discovery to Clinical Pharmacology

Paola Lecca

doi:10.1002/9781119846567.ch12

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Artificial Intelligence: From Drug Discovery to Clinical Pharmacology

Book chapter

Peer reviewed

Artificial Intelligence: From Drug Discovery to Clinical Pharmacology

Paola Lecca

Big Data Analysis and Artificial Intelligence for Medical Sciences, pp.253-272

Wiley

2024

DOI: https://doi.org/10.1002/9781119846567.ch12

Handle:

https://hdl.handle.net/10863/42660

Abstract

druggable genomics

machine learning methods

drug-target networks reconstruction

causal discovery

This chapter discusses the mathematical formalization of the most popular artificial intelligence (AI) techniques for predicting drug–target interaction networks. Furthermore, the chapter reviews the applications, the challenges and the prospects of AI approaches in drug discovery and clinic.

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Details

Title: Artificial Intelligence: From Drug Discovery to Clinical Pharmacology
Creators: Paola Lecca - Free University of Bozen-Bolzano
Publication Details: Big Data Analysis and Artificial Intelligence for Medical Sciences, pp.253-272
Editor(s): Carpentieri B, Lecca P
ISBN: 978-1-119-84653-6
EISBN: 978-1-119-84655-0
Publisher: Wiley
Number of pages: 20
Identifiers: 978-1-119-84653-6
(UNIBZ)84017092
991006835494901241
Scopus ID: 2-s2.0-85200282159
Academic Unit: Faculty of Engineering
Language: English
Resource Type: Book chapter
Author Names String: Lecca P
Additional Description: Editors/Supervisors: Carpentieri B, Lecca P

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