Building the Lab of the Future

It’s a very exciting time to be involved in research. Technological advances are accelerating and scientists can now answer questions that were impossible to address a decade ago. This abundance of data is a two-edged sword, scientists can feel snowed under by reams of big data and the growing complexity of lab instruments and experimental processes.

This is compounded on a company level and many life science companies struggle to capitalize on decades-worth of fragmented and isolated datasets. The ‘Smart Lab of the Future’ offers a solution to existing data management barriers, with integrated tools and equipment that manage increasingly complex workflows.

Artificial Intelligence (AI), which has the potential to transform research labs, must synergize with human scientists, so researchers welcome digital tools into the lab, rather than feeling threatened. This e-book will discuss how user-friendly interfaces like voice, in combination with AI, machine learning and augmented reality tools can empower scientists and life science companies to overcome data management challenges, lower error rates and improve experimental efficiency.

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Supporting Scientists in a Semi-Automated R&D Lab

Supporting Scientists in a Semi-Automated R&D Lab

Pharmaceutical companies face increasing pricing pressure on new medicines, and many have turned to automation to shorten product development timelines, facilitate compliance and reduce costs. By automating repetitive manual tasks, such as..

Why an ELN Needs a Helping Hand

Why an ELN Needs a Helping Hand

We are in the Age of Information. The recent exponential increase in computational power now enables data-driven decisions across organizations, streamlining workflows and improving efficiency. Therefore, many companies are searching for the best..

Documenting in vivo Preclinical Studies

Documenting in vivo Preclinical Studies

In preclinical drug development, in vivo studies are a mandatory step in the process of turning lead compounds into drug candidates. Regulatory agencies require in vivo safety and efficacy data from animal models before approving novel candidates..

Smart Lab of the Future Through Digital Transformation and Lab Automation

Smart Lab of the Future Through Digital Transformation and Lab Automation

The Fourth Industrial Revolution or Industry 4.0 is characterized by a fusion of the digital, biological, and physical worlds. The main feature of this revolution has been an increased incorporation of new technologies featuring lab digitization and..

The Impact of Digital Lab Assistants on Good Manufacturing Practices (cGMP) and Data Integrity

The Impact of Digital Lab Assistants on Good Manufacturing Practices (cGMP) and Data Integrity

Current Good Manufacturing Practice (cGMP) regulations require that companies maintain minimum standards for processes, equipment, facilities and quality management systems. However, it can be challenging to accurately record and track various data..

Lab of the Future: New Technologies Powering Pharma R&D

Lab of the Future: New Technologies Powering Pharma R&D

The COVID-19 pandemic has highlighted the importance of pharmaceutical R&D. Billions of people around the world are pinning their hopes on a new COVID-19 vaccine to end the exponential infections, death rates and social restrictions. The..

Microbiological Testing in cGMP-environment with LIMS and MES software

Microbiological Testing in cGMP-environment with LIMS and MES software

We all expect that the medicine we receive is safe and effective. For pharmaceutical products to meet these requirements, regulatory authorities, such as the European Medicines Agency (EMA) or the U.S. Food and Drug Administration (FDA), ensure..

Cell-based Assay for High-content Screening in Pharma

Cell-based Assay for High-content Screening in Pharma

Drug discovery and development lead to new treatments for diseases. However, it is a costly, time-consuming and challenging process—developing a marketable drug can take more than 10 years and cost around a billion dollars. One of the reasons for..

How Cloud Technology Can Transform Pharma R&D

How Cloud Technology Can Transform Pharma R&D

With cloud technology, pharma companies can leverage big data, automation and advanced analytics to create nimble, collaborative processes. In a recent interactive roundtable, experts from Bayer, Cytiva and LabTwin discussed how cloud..

6 Reasons Why Your Lab Needs a Voice-activated Digital Assistant

6 Reasons Why Your Lab Needs a Voice-activated Digital Assistant

In recent years, the reproducibility of scientific research has come under the spotlight. A major barrier to clinical development is the inability of translational scientists to replicate early discovery findings. In 2016, Nature surveyed nearly..

Using Voice Entry to Increase Data Integrity in cGMP (Pharma) Sample Preparation

Using Voice Entry to Increase Data Integrity in cGMP (Pharma) Sample Preparation

Data integrity is not a new problem and continues to be the major focus in regulated cGMP laboratories worldwide due to data falsification, poor data management practices, or ignorance of the regulations. Several regulatory agencies such as the..

Voice-powered Method-dev for Protein Expression in Lab of the Future

Voice-powered Method-dev for Protein Expression in Lab of the Future

When the human genome was sequenced in 2003, it became possible to identify the gene and protein changes that occur in various diseases, such as cancer. Ever since, the field of proteomics has been booming to respond to the ever-increasing..

User-Centered Design to Drive the R&D Lab of the Future

User-Centered Design to Drive the R&D Lab of the Future

Steve Jobs famously said of his customers, “Our job is to figure out what they're going to want before they do.” This user-centered design approach saw Apple grow into a household name, and today there are 1.4 billion active Apple devices around the..

Integrate Voice into your Lab Informatics Strategy

Integrate Voice into your Lab Informatics Strategy

Research scientists spend 50-80% of their time at the bench with no easy way to record data or access information. New voice-powered digital tools solve this problem by connecting scientists with information at the point of experimentation.

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The Digital Transformation of the Research Laboratory

The Digital Transformation of the Research Laboratory

KEY TAKEAWAYS - Digitization, the process of turning paper-based information into a digital format, makes research more efficient and reproducible, saving time and money. In the U.S. alone, over $28B are lost annually on research that is not..

Harnessing AI and Machine Learning To Improve R&D Efficiency And Reproducibility

Harnessing AI and Machine Learning To Improve R&D Efficiency And Reproducibility

Like other industries, biopharma is grappling with an enormous explosion of data and is turning to artificial intelligence (AI) to make sense of what the data reveal. AI allows scientists to review data efficiently and accurately, uncover patterns,..

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