In-Depth

The In-Depth page consists of Insight Articles, Commentaries, C-level Q&As, Discussion Group Reports, and Survey Reports.

Insight Article
Metadata is a crucial aspect of implementing FAIR data principles and practices. Without metadata, you have no view of what is going on with your unstructured data, context as to what the data is or what it is for.
Edited by Oliver Picken |
20 July 2022
Pharma Data
Discussion Group Report
There are many reasons why it is crucial to understand how an AI-enabled system has led to a specific output. Explainability can help developers ensure that the system is working as expected, meet regulatory requirements, or reveal the importance and effects of data previously deemed unimportant by humans.
Edited by Oliver Picken |
20 July 2022
AI & Machine Learning
Commentary
In this Commentary article, we explore some of the applications of synthetic data generation in the context of healthcare and treatment. Synthetic data can overcome problems surrounding privacy and enable the sharing of important medical information without compromising the privacy of patients.
30 June 2022
Pharma Data
Discussion Group Report
Our April 2022 discussion group focused on digital therapeutics. Digital therapeutics are software-based products for the prevention, management and treatment of health conditions.
Edited by Oliver Picken |
14 June 2022
Pharma Data
Commentary
Jackie Hunter, Board Director at BenevolentAI, shares details on her company's unique approach to target Identification and lead optimisation.
Edited by Oliver Picken |
07 June 2022
AI & Machine Learning
Insight Article
Data is one of the most important assets for a company but multi-omics data analysis is a challenging field.
Edited by Oliver Picken |
27 May 2022
Pharma Data
Insight Article
The pharma industry is embracing digitalisation of the lab. Recent advancements in paperless technology and AI offer a peak into what the smart labs of the future will look like.
Edited by Oliver Picken |
24 May 2022
SmartLabs
Discussion Group Report
Digital health is often seen as the 'next big thing' but there are challenges ahead. This month, our discussion group focused on fragmentation, data flow, protection and regulatory approval.
Edited by Oliver Picken |
05 May 2022
Pharma Data
Commentary
This Commentary article revisits the development and implementation of mobile health data, exploring how initiatives such as the NHS track and trace system helped to mitigate the worst of the impact of the Covid-19 pandemic. Here, we consider the applications of mHealth data for present and future pandemic situations.
Edited by Ben Norris |
26 April 2022
Pharma Data
Insight Article
Digital biomarkers are rapidly being adopted to provide quality insights into patient health. David Nobbs, Biomarker Disease Area Lead at Roche and Valentin, Data Analytics Leader at GSK share how their companies are using digital biomarkers.
Edited by Oliver Picken |
25 April 2022
Pharma Data
Commentary
This Commentary piece looks at the means by which the global approval process for new medicines can be sped up through the controlled use of FAIR data. Key areas of focus include the sharing of healthcare data to bring the patient voice within the clinical setting.
Edited by Ben Norris |
28 March 2022
Pharma Data
Discussion Group Report
Key opinion leaders discuss the latest trends and challenges in laboratory automation and digitalization. Key insights include an explanation of Roche's 'Levers of Production' method, the challenges of legacy systems and the possibility of digitalization overload.
Edited by Oliver Picken |
21 March 2022
SmartLabs
Insight Article
The pharmaceutical industry is working on improving the usability of automation platforms but challenges remain.
Edited by Oliver Picken |
10 March 2022
SmartLabs
Discussion Group Report
This November, our PharmaTec Series discussion group focused on mobile robotics. We explored their current uses, challenges and potential.
Edited by Oliver Picken |
10 February 2022
PharmaTec Series
Insight Article
Digital tools to boost productivity and optimise pharma manufacturing are becoming increasingly prevalent through smart sensors, AI, ML, virtual reality, and cloud computing. Digital transformation is here for Pharma, and it is changing companies' priorities towards digital solutions.  
Edited by Oliver Picken |
04 February 2022
AI & Machine Learning
Commentary
Dr Boris Adryan, Digital & Data Capability Building Lead at Merck Healthcare KGaA, teaches the company’s workforce the importance of data.
Edited by Tom Cohen |
17 January 2022
Pharma Data
Insight Article
The amount of data created by pharmaceutical companies has increased exponentially over the last few decades. Managing these enormous volumes of data can be challenging, an issue compounded by a lack of standardisation. Data is often gathered from numerous sources and devices and stored separately, making it difficult to retrieve, query, share and analyse. 
Edited by Oliver Picken |
18 November 2021
Pharma Data
Discussion Group Report
This September, our PharmaTec series discussion group focused on cutting edge data analytics. Some of the key topics our experts covered included whether analytics should start with the data or a use case first, different analytical platforms and the application of AI/ML technologies.  
Edited by Oliver Picken |
18 November 2021
Pharma Data
Commentary
The foundation of any 21st century smart lab is data management and connectivity.
Edited by Oliver Picken |
12 October 2021
SmartLabs
Commentary
How can pharma companies harness the power of data using innovative technologies?
Edited by Oliver Picken |
04 September 2021
Pharma Data
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