Systematic risk identification and assessment using a new risk map in pharmaceutical R&D
出版年份 2021 全文链接
标题
Systematic risk identification and assessment using a new risk map in pharmaceutical R&D
作者
关键词
Pharmaceutical, Research and development (R&D), Artificial intelligence, Drug discovery, Drug development, Risk
出版物
DRUG DISCOVERY TODAY
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2021-07-03
DOI
10.1016/j.drudis.2021.06.015
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Improved protein structure prediction using potentials from deep learning
- (2020) Andrew W. Senior et al. NATURE
- The upside of being a digital pharma player
- (2020) Alexander Schuhmacher et al. DRUG DISCOVERY TODAY
- The present and future of project management in pharmaceutical R&D
- (2020) Alexander Schuhmacher et al. DRUG DISCOVERY TODAY
- Application of artificial intelligence in modeling of the doxorubicin release behavior of pH and temperature responsive poly(NIPAAm-co-AAc)-PEG IPN hydrogel
- (2020) Cihangir Boztepe et al. JOURNAL OF DRUG DELIVERY SCIENCE AND TECHNOLOGY
- Ensuring protocol compliance and data transparency in clinical trials using Blockchain smart contracts
- (2020) Ilhaam A. Omar et al. BMC Medical Research Methodology
- Artificial intelligence in drug discovery and development
- (2020) Debleena Paul et al. DRUG DISCOVERY TODAY
- Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 1: Ways to make an impact, and why we are not there yet
- (2020) Andreas Bender et al. DRUG DISCOVERY TODAY
- RW2 Synthetic Control Arms: Hype Versus Reality, the Payer Perspective
- (2020) R. Macaulay et al. VALUE IN HEALTH
- Opportunities and challenges using artificial intelligence in ADME/Tox
- (2019) Barun Bhhatarai et al. NATURE MATERIALS
- The In Silico Drug Discovery Toolbox: Applications in Lead Discovery and Optimization
- (2019) Agostino Bruno et al. CURRENT MEDICINAL CHEMISTRY
- Deep learning enables rapid identification of potent DDR1 kinase inhibitors
- (2019) Alex Zhavoronkov et al. NATURE BIOTECHNOLOGY
- Artificial Intelligence for Clinical Trial Design
- (2019) Stefan Harrer et al. TRENDS IN PHARMACOLOGICAL SCIENCES
- Hunting for New Drugs with AI
- (2019) David H. Freedman NATURE
- It's Time to Reverse our Thinking: The Reverse Translation Research Paradigm
- (2018) Valentina Shakhnovich CTS-Clinical and Translational Science
- Automating drug discovery
- (2017) Gisbert Schneider NATURE REVIEWS DRUG DISCOVERY
- Drug discovery effectiveness from the standpoint of therapeutic mechanisms and indications
- (2017) Hsin-Pei Shih et al. NATURE REVIEWS DRUG DISCOVERY
- Therapy Decision Support Based on Recommender System Methods
- (2017) Felix Gräßer et al. Journal of Healthcare Engineering
- Use of a Novel Artificial Intelligence Platform on Mobile Devices to Assess Dosing Compliance in a Phase 2 Clinical Trial in Subjects With Schizophrenia
- (2017) Earle E Bain et al. JMIR mHealth and uHealth
- The FDA's sentinel initiative-A comprehensive approach to medical product surveillance
- (2016) R Ball et al. CLINICAL PHARMACOLOGY & THERAPEUTICS
- IBM Watson: How Cognitive Computing Can Be Applied to Big Data Challenges in Life Sciences Research
- (2016) Ying Chen et al. CLINICAL THERAPEUTICS
- Data-driven medicinal chemistry in the era of big data
- (2013) Scott J. Lusher et al. DRUG DISCOVERY TODAY
- Diagnosing the decline in pharmaceutical R&D efficiency
- (2012) Jack W. Scannell et al. NATURE REVIEWS DRUG DISCOVERY
- How to improve R&D productivity: the pharmaceutical industry's grand challenge
- (2010) Steven M. Paul et al. NATURE REVIEWS DRUG DISCOVERY
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