Image-based profiling for drug discovery: due for a machine-learning upgrade?

SN Chandrasekaran, H Ceulemans, JD Boyd… - Nature Reviews Drug …, 2021 - nature.com
Image-based profiling is a maturing strategy by which the rich information present in
biological images is reduced to a multidimensional profile, a collection of extracted image …

Searching for and selecting studies

C Lefebvre, J Glanville, S Briscoe… - … systematic reviews of …, 2019 - Wiley Online Library
This chapter outlines some general issues in searching for studies; describes the main
sources of potential studies; and discusses how to plan the search process, design and …

Machine learning and artificial intelligence in pharmaceutical research and development: a review

S Kolluri, J Lin, R Liu, Y Zhang, W Zhang - The AAPS journal, 2022 - Springer
Over the past decade, artificial intelligence (AI) and machine learning (ML) have become the
breakthrough technology most anticipated to have a transformative effect on pharmaceutical …

[HTML][HTML] Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: a review

DB Fogel - Contemporary clinical trials communications, 2018 - Elsevier
Clinical trials are time consuming, expensive, and often burdensome on patients. Clinical
trials can fail for many reasons. This survey reviews many of these reasons and offers …

Drug repurposing: a systematic review on root causes, barriers and facilitators

N Krishnamurthy, AA Grimshaw, SA Axson… - BMC health services …, 2022 - Springer
Background Repurposing is a drug development strategy receiving heightened attention
after the Food and Drug Administration granted emergency use authorization of several …

[HTML][HTML] Drug discovery and development: Role of basic biological research

RC Mohs, NH Greig - Alzheimer's & Dementia: Translational Research & …, 2017 - Elsevier
This article provides a brief overview of the processes of drug discovery and development.
Our aim is to help scientists whose research may be relevant to drug discovery and/or …

Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges

J Peng, EC Jury, P Dönnes, C Ciurtin - Frontiers in pharmacology, 2021 - frontiersin.org
In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …

[HTML][HTML] Dealing with the positive publication bias: Why you should really publish your negative results

A Mlinarić, M Horvat, V Šupak Smolčić - Biochemia medica, 2017 - hrcak.srce.hr
Sažetak Studies with positive results are greatly more represented in literature than studies
with negative results, producing so-called publication bias. This review aims to discuss …

Is it possible to overcome issues of external validity in preclinical animal research? Why most animal models are bound to fail

P Pound, M Ritskes-Hoitinga - Journal of translational medicine, 2018 - Springer
Background The pharmaceutical industry is in the midst of a productivity crisis and rates of
translation from bench to bedside are dismal. Patients are being let down by the current …

[HTML][HTML] Biology-inspired microphysiological systems to advance patient benefit and animal welfare in drug development

U Marx, T Akabane, TB Andersson, E Baker… - Altex, 2020 - ncbi.nlm.nih.gov
The first microfluidic microphysiological systems (MPS) entered the academic scene more
than 15 years ago and were considered an enabling technology to human in vitro (patho) …