[HTML][HTML] Why 90% of clinical drug development fails and how to improve it?
Ninety percent of clinical drug development fails despite implementation of many successful
strategies, which raised the question whether certain aspects in target validation and drug …
strategies, which raised the question whether certain aspects in target validation and drug …
AI-powered therapeutic target discovery
Disease modeling and target identification are the most crucial initial steps in drug
discovery, and influence the probability of success at every step of drug development …
discovery, and influence the probability of success at every step of drug development …
[HTML][HTML] Integrative toxicogenomics: Advancing precision medicine and toxicology through artificial intelligence and OMICs technology
More information about a person's genetic makeup, drug response, multi-omics response,
and genomic response is now available leading to a gradual shift towards personalized …
and genomic response is now available leading to a gradual shift towards personalized …
From traditional ethnopharmacology to modern natural drug discovery: A methodology discussion and specific examples
S Pirintsos, A Panagiotopoulos, M Bariotakis… - Molecules, 2022 - mdpi.com
Ethnopharmacology, through the description of the beneficial effects of plants, has provided
an early framework for the therapeutic use of natural compounds. Natural products, either in …
an early framework for the therapeutic use of natural compounds. Natural products, either in …
Machine learning in pharmacometrics: Opportunities and challenges
M McComb, R Bies… - British Journal of Clinical …, 2022 - Wiley Online Library
The explosive growth in medical devices, imaging and diagnostics, computing, and
communication and information technologies in drug development and healthcare has …
communication and information technologies in drug development and healthcare has …
Use of artificial intelligence to enhance phenotypic drug discovery
S Malandraki-Miller, PR Riley - Drug Discovery Today, 2021 - Elsevier
Highlights•This review re-explores the comparison between phenotypic and target-based
drug discovery and outlines how machine learning (ML) can assist the former at the forefront …
drug discovery and outlines how machine learning (ML) can assist the former at the forefront …
A marine collagen-based 3D scaffold for in vitro modeling of human prostate cancer niche and anti-cancer therapeutic discovery
WH Song, YS Lim, JE Kim, HY Kang, C Lee… - Marine Drugs, 2024 - mdpi.com
Recently, the need to develop a robust three-dimensional (3D) cell culture system that
serves as a valuable in vitro tumor model has been emphasized. This system should closely …
serves as a valuable in vitro tumor model has been emphasized. This system should closely …
State-of-the-art in the drug discovery pathway for Chagas disease: A framework for drug development and target validation
JC Gabaldón-Figueira… - … and Reports in …, 2023 - Taylor & Francis
Chagas disease is the most important protozoan infection in the Americas, and constitutes a
significant public health concern throughout the world. Development of new medications …
significant public health concern throughout the world. Development of new medications …
Artificial intelligence in longevity medicine
A Zhavoronkov, E Bischof, KF Lee - Nature Aging, 2021 - nature.com
Recent advances in deep learning enabled the development of AI systems that outperform
humans in many tasks and have started to empower scientists and physicians with new …
humans in many tasks and have started to empower scientists and physicians with new …
Structure-based drug-development study against fibroblast growth factor receptor 2: molecular docking and Molecular dynamics simulation approaches
Developing new therapeutic strategies to target specific molecular pathways has become a
primary focus in modern drug discovery science. Fibroblast growth factor receptor 2 (FGFR2) …
primary focus in modern drug discovery science. Fibroblast growth factor receptor 2 (FGFR2) …