Digital Transformation of the Laboratory. Группа авторов

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will become more of a focus as traditional small molecule‐based strategies are met with evermore intractable and resistant bacteria [94]. Supercharged immunological approaches to bacterial infection will also be a focus for research.

      The growth of such novel therapeutics as CAR‐T, alongside other whole cell‐based approaches and non‐small molecule agents, will complement the ever‐expanding set of large‐molecule therapies. The use of these so‐called biopharmaceuticals or biologics has become more widespread in the past decade and will continue to grow. Similarly, the research, development, and manufacture of antibodies [95], modified RNA [96], peptides [97], conjugates, proteolysis targeting chimera agents (PROTACS) [98], antisense oligonucleotides, and other therapeutic macromolecules will continue to expand rapidly. While in vitro activity of such agents can often be demonstrated relatively clearly, they present a major challenge when it comes to in vivo efficacy. The development of novel formulation and drug delivery systems to enable effective administration of these twenty‐first century therapeutics will become a major area of scientific investigation.

      Finally, an area of growing interest, which could be considered the antithesis of antimicrobial research, is that of the microbiome [99]. There is increasing recognition that the commensal bacteria and other microbes which live symbiotically in and on our bodies (mainly mucous membranes in, for example the gut and also on the skin) can play a major role in our acquisition, presentation, and the severity of certain diseases (e.g. irritable bowel syndrome, Crohn's disease, and psoriasis). Research into an individual's microbiome and treatments based on “normalization” of a person's inherent flora will grow and become more mainstream over the next few decades [100].

      1.2.6.2 New Science in the Life Sciences Domain

      Just as the next generation of scientists is exquisitely conscious of the environment, so too is it particularly focused on animal welfare. The ever‐growing drive toward minimization of the use of animals in research and product testing, while it can never in truth be completely eliminated, will continue to accelerate. Initiatives such as the “3Rs” [101] looking to replace, reduce, and refine the use of animals in the lab will gain more traction [102]. In vitro approaches to meet the goals of the 3Rs will include developments such as organ‐on‐a‐chip [103] and the increasing use of stem cells. These new methods will become widespread in the LotF.

      Finally, there is one lab technique, which has been a mainstay of the lab for hundreds of years, yet is still undergoing significant evolution and is likely to feature significantly in the LotF: microscopy. Advances in traditional imaging revolutionized life sciences over a decade ago, but current developments in microscopy are likely to transform utterly how in the future we perceive “things” both at the molecular and macromolecular levels. There are two specific examples, which we feel are worth mentioning here: firstly, the scanning tunneling microscope (STM) [104] and secondly, the cryo‐electron microscope (cryo‐EM) [105]. STM and other comparable new microscopy techniques [106] have the potential to take to an even higher level our ability to study cells, solid‐state materials, and many other surfaces. STM has clear potential applications in biology, chemistry, surface science, and solid‐state physics [107]. The STM, which operates through the principles of quantum tunneling, utilizes the wavelike properties of electrons, allowing them to “tunnel” beyond the surface of a solid into regions of space that are normally forbidden under the rules of classical physics. While the use of STM has been focused mainly on physicochemical and solid‐state challenges, increasingly scientists are looking at STM as a means to see more deeply into chemical and biochemical systems, right down to the atomic level [108]. Cryo‐EM is the electron microscopic imaging of rapidly frozen molecules and crystals in solution. It demonstrates its main benefits at the macromolecular level, enabling scientists to see the fine structures of proteins, nucleic acids, and other biomolecules, and even to study how they move and change as they perform their functions, but without having to use the intense electron beams and high vacuum conditions used in traditional electron microscopy [109].

      1.2.6.3 Other Important New Science Areas

      The lab environment is changing – this is certain. New and existing science demands combined with critical issues of data management and reproducibility will require a strategic direction to be set and then deployed. It will be important for lab managers to identify what they want to achieve by employing the new approaches of AI, quantum computing, and advanced automation technology. Business ambition and needs, and the assessment of the maturity of organizations beyond the lab environment in the context of initiatives such as FAIR data, will need to be investigated as a matter of urgency to help drive lab of the future decision‐making. With such a pace of change it will be important to “think big” as well as be practical during implementation. Thinking in expansive terms, organizations must consider all the opportunities on offer within the key areas of technology, data, people, and process to highlight possible future visions and ways of working. They should use scenario planning to explore, influence, plan for, and manage the future. These scenarios will perhaps be most effective when they are personalized to the organization, function, lab, or team's future, rather than to a generic vision. The benefit of running pilots prior to fuller implementation in the LotF cannot be overstated. Small LotF pilots will allow experimentation across the broad themes. These will reveal what works and what needs adjustment based on the key lab environments. The successful use cases can result in new designs, collaborations, future partnering with technology groups, and new predictive models to support experiments in a timely manner. Moving beyond these smaller pilots and the learnings from them will help catalyze organizational change to support a lab environment that can adapt to new science and get the most from data, digital technology, and AI‐driven transformations. All these changes will present new business opportunities, the chance for new relationships with vendors, and the need for new business partners. They will also present opportunities for all lab colleagues to take part in the transformation and to take on new roles and skills to support the implementation and future impact.

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