東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Artificial intelligence and machine ...

Khanna, Abhirup.

Linked to FindBook

Google Book

Amazon

博客來

Artificial intelligence and machine learning in drug design and development /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial intelligence and machine learning in drug design and development // edited by Abhirup Khanna ... [et al.].
other author:	Khanna, Abhirup.
Published:	Hoboken, NJ :John Wiley & Sons ; : 2024.,
Description:	xxvi, 641 p. :ill. ;26 cm.
Subject:	Drug development. -
ISBN:	9781394234165

Artificial intelligence and machine learning in drug design and development /
Artificial intelligence and machine learning in drug design and development /edited by Abhirup Khanna ... [et al.]. - Hoboken, NJ :John Wiley & Sons ;2024. - xxvi, 641 p. :ill. ;26 cm.

Includes bibliographical references and index.

The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being.

ISBN: 9781394234165US249.00Subjects--Topical Terms:

716904
Drug development.

LC Class. No.: RM301.25 / .A78 2024

Dewey Class. No.: 615.1/9

Artificial intelligence and machine learning in drug design and development /
LDR:02490cam 2200241 a 4500 001 2366138
003 OCoLC
005 20240726110326.0
008 241023s2024 njua b 001 0 eng d
020 $a 9781394234165 $q (hbk.) : $c US249.00
020 $a 1394234163 $q (hbk.)
020 $z 9781394234196 $q (ebook)
020 $z 1394234198 $q (ebook)
020 $z 9781394234189 $q (ebook)
020 $z 139423418X $q (ebook)
035 $a (OCoLC)1439563870
040 $a YDX $b eng $c YDX $d YDX $d OCLCO $d DG1 $d NDHU
050 # 4 $a RM301.25 $b .A78 2024
082 0 4 $a 615.1/9 $2 23/eng/20240626
245 0 0 $a Artificial intelligence and machine learning in drug design and development / $c edited by Abhirup Khanna ... [et al.].
260 # $a Hoboken, NJ : $b John Wiley & Sons ; $a Beverly, MA : $b Scrivener Publishing, $c 2024.
300 $a xxvi, 641 p. : $b ill. ; $c 26 cm.
504 $a Includes bibliographical references and index.
520 # $a The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharmaceuticals. The remarkable synergy between cutting-edge technology and the life sciences has ushered in a new era of possibilities, offering unprecedented opportunities, formidable challenges, and a tantalizing glimpse into the future of medicine. AI can be applied to all the key areas of the pharmaceutical industry, such as drug discovery and development, drug repurposing, and improving productivity within a short period. Contemporary methods have shown promising results in facilitating the discovery of drugs to target different diseases. Moreover, AI helps in predicting the efficacy and safety of molecules and gives researchers a much broader chemical pallet for the selection of the best molecules for drug testing and delivery. In this context, drug repurposing is another important topic where AI can have a substantial impact. With the vast amount of clinical and pharmaceutical data available to date, AI algorithms find suitable drugs that can be repurposed for alternative use in medicine. This book is a comprehensive exploration of this dynamic and rapidly evolving field. In an era where precision and efficiency are paramount in drug discovery, AI and ML have emerged as transformative tools, reshaping the way we identify, design, and develop pharmaceuticals. This book is a testament to the profound impact these technologies have had and will continue to have on the pharmaceutical industry, healthcare, and ultimately, patient well-being.
650 # 0 $a Drug development. $3 716904
700 1 # $a Khanna, Abhirup. $3 3721347