All 20/15 Visioneers articles
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ArticleScientific workflow for hypothesis testing in drug discovery: Part 2 of 3
In part two of the step-by-step scientific workflow for drug discovery series, Dr Raminderpal Singh and Nina Truter describe the functions of the workflow previously outlined and include key considerations.
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ArticleAn industry leader’s perspective on the complexity of scientific data
In this article, Dr Raminderpal Singh speaks to Janette Thomas of Five Alarm Bio for a biotech CEO’s perspective on the complexity of data faced by both large and small biotechs. Janette is on a mission to develop drugs targeting the chronic diseases associated with ageing. She shares her insights ...
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ArticleBridging science and technology: a biotech CEO’s perspective
In this article, Dr Raminderpal Singh speaks to Neil Wilkie of Mironid Ltd. for a biotech CEO’s perspective on the transformative potential of AI, and the importance of bridging communication gaps between scientific and technical teams to drive innovation and efficiency in the pharmaceutical industry.
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Part four: an industry leader’s perspective on managing data quality
In this four-part series, Dr Raminderpal Singh discusses the challenges surrounding limited data quality and offers some pragmatic solutions. In this fourth article, he talks to John Conway, Chief Visioneer Officer at 20/15 Visioneers for an expert perspective.
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Part three: 15 pragmatic guidelines to handle data quality issues
In this four-part series, Dr Raminderpal Singh will discuss the challenges surrounding limited data quality, and some pragmatic solutions. In this third article, he discusses pragmatic guidelines to help support better data quality.
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Article
Part two: the impact of poor data quality
In this four-part series, Dr Raminderpal Singh will discuss the challenges surrounding limited data quality, and some pragmatic solutions. In this second article, he discusses the problems that occur when using data of poor quality.
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Part one: an introduction to data quality
In this four-part series, Dr Singh will discuss the challenges surrounding limited data quality, and some pragmatic solutions. In this first article, the key attributes that define data quality and its requirement for data scientists are elucidated.


