Results 11 to 20 of about 6,006,073 (362)
Revolutionizing Drug Discovery: A Comprehensive Review of AI Applications [PDF]
Drugs and Drug CandidatesThe drug discovery and development process is very lengthy, highly expensive, and extremely complex in nature. Considering the time and cost constraints associated with conventional drug discovery, new methods must be found to enhance the declining ...
Rushikesh Dhudum +2 more
semanticscholar +2 more sources
Anticancer Drug Discovery Based on Natural Products: From Computational Approaches to Clinical Studies [PDF]
BiomedicinesGlobally, malignancies cause one out of six mortalities, which is a serious health problem. Cancer therapy has always been challenging, apart from major advances in immunotherapies, stem cell transplantation, targeted therapies, hormonal therapies ...
Pritee Chunarkar-Patil +9 more
semanticscholar +2 more sources
Enhancing preclinical drug discovery with artificial intelligence [PDF]
, 2022 Artificial intelligence (AI) is becoming an integral part of drug discovery. It has the potential to deliver across the drug discovery and development value chain, starting from target identification and reaching through clinical development.
Poongavanam, Vasanthanathan +7 more
core +1 more source
Machine learning approaches for computer aided drug discovery [PDF]
, 2023 Pharmaceutical drug discovery is expensive, time consuming and scientifically challenging. In order to increase efficiency of the pre-clinical drug discovery pathway, computational drug discovery methods and most recently, machine learning-based methods ...
Moesser, Marc
core +2 more sources
Computational approaches streamlining drug discovery
Nature, 2023 Computer-aided drug discovery has been around for decades, although the past few years have seen a tectonic shift towards embracing computational technologies in both academia and pharma.
Anastasiia V. Sadybekov, V. Katritch
semanticscholar +1 more source
Positron emission tomographic imaging in drug discovery [PDF]
, 2022 Positron emission tomography (PET) is an extensively used nuclear functional imaging technique, especially for central nervous system (CNS) and oncological disorders. Currently, drug development is a lengthy and costly pursuit.
Palanivel, Mathangi +14 more
core +1 more source
Scientific Reports, 2021 Accumulation of tau protein is a key pathology of age-related neurodegenerative diseases such as Alzheimer's disease and progressive supranuclear palsy. Those diseases are collectively termed tauopathies.
Tomohiro Onishi +8 more
doaj +1 more source
Applications of single-cell RNA sequencing in drug discovery and development
Nature reviews. Drug discovery, 2023 Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods, together with associated computational tools and the growing availability of public data resources, are transforming drug discovery and development.
Bram Van de Sande +16 more
semanticscholar +1 more source
Artificial Intelligence For Natural Product Drug Discovery
Nature reviews. Drug discovery, 2023 Developments in computational omics technologies have provided new means to access the hidden diversity of natural products, unearthing new potential for drug discovery. In parallel, artificial intelligence approaches such as machine learning have led to
M. Mullowney +57 more
semanticscholar +1 more source
The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies [PDF]
Pharmaceuticals, 2022 Artificial intelligence (AI) has the potential to revolutionize the drug discovery process, offering improved efficiency, accuracy, and speed. However, the successful application of AI is dependent on the availability of high-quality data, the addressing
Alexandre Blanco-González +6 more
semanticscholar +1 more source