Image-based profiling for drug discovery: due for a machine-learning upgrade?
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 …
biological images is reduced to a multidimensional profile, a collection of extracted image …
Searching for and selecting studies
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 …
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
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 …
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 …
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 …
after the Food and Drug Administration granted emergency use authorization of several …
[HTML][HTML] Drug discovery and development: Role of basic biological research
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 …
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
In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …
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 …
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 …
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
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) …
than 15 years ago and were considered an enabling technology to human in vitro (patho) …