Drug Design Using Machine Learning
- Indbinding:
- Hardback
- Sideantal:
- 384
- Udgivet:
- 22. november 2022
- Størrelse:
- 157x25x235 mm.
- Vægt:
- 694 g.
- 2-3 uger.
- 22. januar 2025
På lager
Forlænget returret til d. 31. januar 2025
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Drug Design Using Machine Learning
DRUG DESIGN USING MACHINE LEARNING
The use of machine learning algorithms in drug discovery has accelerated in recent years and this book provides an in-depth overview of the still-evolving field.
The objective of this book is to bring together several chapters that function as an overview of the use of machine learning and artificial intelligence applied to drug development. The initial chapters discuss drug-target interactions through machine learning for improving drug delivery, healthcare, and medical systems. Further chapters also provide topics on drug repurposing through machine learning, drug designing, and ultimately discuss drug combinations prescribed for patients with multiple or complex ailments.
This excellent overview
* Provides a broad synopsis of machine learning and artificial intelligence applications to the advancement of drugs;
* Details the use of molecular recognition for drug development through various mathematical models;
* Highlights classical as well as machine learning-based approaches to study target-drug interactions in the field of drug discovery;
* Explores computer-aided technics for prediction of drug effectiveness and toxicity.
Audience
The book will be useful for information technology professionals, pharmaceutical industry workers, engineers, university researchers, medical practitioners, and laboratory workers who have a keen interest in the area of machine learning and artificial intelligence approaches applied to drug advancements.
The use of machine learning algorithms in drug discovery has accelerated in recent years and this book provides an in-depth overview of the still-evolving field.
The objective of this book is to bring together several chapters that function as an overview of the use of machine learning and artificial intelligence applied to drug development. The initial chapters discuss drug-target interactions through machine learning for improving drug delivery, healthcare, and medical systems. Further chapters also provide topics on drug repurposing through machine learning, drug designing, and ultimately discuss drug combinations prescribed for patients with multiple or complex ailments.
This excellent overview
* Provides a broad synopsis of machine learning and artificial intelligence applications to the advancement of drugs;
* Details the use of molecular recognition for drug development through various mathematical models;
* Highlights classical as well as machine learning-based approaches to study target-drug interactions in the field of drug discovery;
* Explores computer-aided technics for prediction of drug effectiveness and toxicity.
Audience
The book will be useful for information technology professionals, pharmaceutical industry workers, engineers, university researchers, medical practitioners, and laboratory workers who have a keen interest in the area of machine learning and artificial intelligence approaches applied to drug advancements.
Brugerbedømmelser af Drug Design Using Machine Learning
Giv din bedømmelse
For at bedømme denne bog, skal du være logget ind.Andre købte også..
Find lignende bøger
Bogen Drug Design Using Machine Learning findes i følgende kategorier:
© 2024 Pling BØGER Registered company number: DK43351621