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We recently sat down with Rizwan Chaudhrey, a well-connected figure in the life science and pharmaceutical industries, to discuss the changes he has seen across the lab sector in recent years; how this has been impacted by COVID; and any new trends in lab informatics.
I’ve been involved in this field for a long time, building up a portfolio of connections across life science, biopharma, and pharma. I have worked alongside key opinion leaders for the past 8 years, including both members of the media and decision makers within the companies themselves. I have been involved in a myriad of different projects in the industry in that time, from event management to sales strategy. I now work across the whole value chain, aiming to connect and inform people through news, interviews and other forms of content.
I speak to people across all disciplines and roles, and generally host 2 types of interview. In-person interviews, usually at an industry event,where my interviewees generally talk about the company, what they’re showcasing at an event, and any product launches that might be coming up. Video interviews are often more topical, highlighting a specific subject or industry challenge.
During my time in this industry, I’ve visited many different eventsand spoken to hundreds of companies in this space, from large organisations to smaller start-ups. In the time I have been in the industry, lab informatics has changed a lot – it is very much an industry that keeps you on your toes!
Digitalisation is obviously a topic that is heavily discussed, certainly in the events I attend and the interviews I conduct. I think there’s been an interesting shift recently though. The whole industry thought that the COVID-19 pandemic would have a significant effect and drastically speed up the rate of adoption, like we’ve seen in other industries. Everything was going to move to the cloud, and remote access requirements led everyone to believe that we were going to move towards digitalisation at a rate of knots. While we are seeing increasing use of digitised systems, the shift has not been as quick or dramatic as people expected.
From my discussions with lab-based organisations, it appears that one of the big barriers to following through on digital transformation is not knowing where to start. At present, it doesn’t appear as though one vendor has “cracked it” and developed an all-in-one solution that addresses every lab’s needs – there are many different companies offering an array of services and solutions, which can be daunting for a lab-based organisation that is stuck somewhere on its digitalisation journey. For example, major vendors might offer solutions and software packages for their own instruments, but on another level you can look at platforms that focus on specific therapies – there are so many layers to the topic, which is why I believe there are still so many shows with exhibitors talking about what they can bring to the table.
Certainly – you can’t avoid artificial intelligence as a topic at the moment! And you can understand why, it has plenty of advantages for labs.
AI can help labs not only generate insights from millions of cells, but also interpret that data and help identify the most valuable results. Machine learning (ML) also provides clear benefits in terms of equipment servicing, as ML-enabled instruments can help engineers and customers through self-diagnosis and troubleshooting. It also facilitates lab automation, through features like automatic refill notifications.
Post-COVID, we’ve definitely seen a rise in collaboration. Organisations and scientists seem more willing than ever before to share information. We’re also seeing a shift towards automated processes in the lab, with systems using learnt information to lessen the need for human intervention.
In the current environmental climate, sustainability is naturally a big talking point too. Every company I speak to is keen to showcase their ESG practices, especially considering the impact the life science and pharmaceutical industry has on the environment.
We agree with Rizwan that the field of lab informatics is at an exciting crossroads. Still emerging from the madness of COVID, and with the growing promise of AI seeming more inevitable by the day, the industry is facing a period of unpredictability.
As scientists ourselves, the team at Scimcon is well-placed to help lab-based companies address their challenges. Find out more about how Scimcon can help you navigate the fog by visiting our website.
What’s trending in lab informatics? SmartLab Exchange 2024 highlights key themes?Scimcon is proud to have sponsored both the SmartLab Exchange Europe and US events again this year, which took place from 21-22 February 2024 in Amsterdam, the Netherlands, and 8-9 April 2024 in Florida, USA.
The annual invite-only events facilitate one-to-one meetings and foster collaboration between experts across the lab informatics industry, from R&D to Quality Assurance and Quality Control (QA/QC) decision makers.
Our team led panel discussions and also chaired the European event. From our conversations with delegates and industry experts, we have identified key trends across the lab informatics industry this year, and are sharing what we learned about user priorities in this rapidly evolving sector.
In attendance at this years’ events was our co-founder and lead consultant Geoff Parker, who moderated the opening panel discussion that asked the SmartLab community ‘what does digital transformation mean to you?’. At both the Europe and US events, users across the industry shared their insights on digital transformation and where they are in their journey, where they’re planning to be, and what tools / solutions are making these goals achievable.
We informally surveyed 112 delegates at this years’ events (65 from Europe, 47 from the US) to understand what decision makers are prioritising this year, and what areas of lab informatics will be most in-demand.
Part of our discussions with delegates includes asking what informatics tools and capabilities they are prioritising investment in over the coming 12 months. The following themes emerged from these discussions:
LIMS remains a mainstay solution, with 17% of delegates confirming they plan to invest in a new LIMS or expand their current LIMS over the next 12 months. AI and automation are close second and third priorities, which is perhaps unsurprising. We expect more users to explore AI and automation as lab managers invest in these technologies to streamline operations, simplify and automate processes, and minimise the risk of human error. However, preparedness for implementing AI needs careful attention if labs are to capitalise on its promise.
There are no shortage of informatics tools on this list, such as ELN, QMS, and scheduling tools, so it’s understandable that connectivity remains a key priority for delegates too, as interconnected instrument networks are central to productivity and ease of data transfer.
We also provided attendees with a list of lab informatics solutions and asked them to identify which of these were high and medium priority for their organisation.
Lab automation is once again high on the list of priorities for delegates, with 82 saying it was a high priority and 18 considering it a medium priority. Data quality/integrity also remains key for delegates, so solutions that ensure data quality is maintained and data are standardised are poised to remain popular. Data integration and connectivity also remain important, which again highlights that decision makers prioritise instruments that can communicate with each other and the lab informatics systems seamlessly, while maintaining data integrity and streamlining lab processes.
The insights gleaned from both SmartLab Exchange events reflect what is happening across the wider industry.
Technology is constantly evolving. As solution providers and instrument vendors innovate with new systems that aim to alleviate the challenges faced by labs and improve processes, we expect more and more users to invest in technologies that automate repetitive and time-consuming processes. By also ensuring that data quality is standardised and stored securely, scientists will have more time to focus on the science that matters.
We’re proud to support labs with the next step of their digitalisation journey, and are excited to see what else the future has in store for our industry.
For more information about how we can support your next lab informatics project, contact us.
Scimcon sponsors SmartLab Exchange EU and USA and identifies key themes at Europe event for 2023 lab informatics?The SmartLab Exchange Europe 2023, whichtook place from 22-23 February in Amsterdam, Netherlands, is one of the global meetings for lab informatics leaders. Scimcon continues its proud sponsorship of this event, as well as this month’s North American event in San Diego on 22-23 March, facilitating one-to-one meetings with a number of informatics customers from all major lab-centric sectors. The continued sponsorship of the event provides access to the community of senior R&D, Quality Assurance and Quality Control decision-makers from industry in both North America and Europe.
Attending from Scimcon was co-founder and lead consultant, Geoff Parker, who took the opportunity to poll attendees and delegates of the attending organisations, to identify the current 2023 trends in the lab informatics industry. This includes R&D executives, Quality Assurance and Control leaders, and Regulatory specialists from organisations such as GSK, P&G, AstraZeneca, BioNTech, and more.
In the informal poll of attendees at SmartLab Exchange, Scimcon has been able to identify key trends and themes that are important to the modern lab in 2023.
Of the total 73 delegates polled, 68 delegates – with budgets ranging between 500k to millions in GBP – volunteered which technologies they are interested in investing in within the coming 12 months.
Some of the key investment priorities included:
When asked about additional investment priorities, 7 delegates stated that the following areas were also of interest this coming year:
Attendees also ranked their interests and what topics they wanted to address at SmartLab. As illustrated, lab automation, and AI/ML in particular, are high priorities for lab leaders in 2023, with other high priority areas including data quality and integrity, instrument connectivity and IoT, and data integration.
This year’s event also saw the Scimcon team hosting the opening panel discussion, ‘What is the future for human scientists as AI and ML deliver the promised step change in laboratory practice?’, where key opinion leaders were invited to participate in the discussion to kick off the event. Panellists at the European conference were Edith Gardenier from Genmab, and Andy Phillips and Robin Brouwer from AstraZeneca.
Geoff summarises “As lab informatics consultants with a global customer base in leading lab centric organisations, it is important to us to check in frequently with influential decision-makers from the lab. SmartLab Exchange offers us a useful ability to poll the attendees and see trends that will impact the modern lab decision-maker, and will help us at Scimcon to hone the way we partner with our customers. The attendees we spoke to were split between R&D and QA/QC – with 43% in R&D, 24% in Quality, and 16% in both. We very much look forward to catching up with delegates at the US event in March, and it will be interesting to see how trends and priorities differ or align between the US and Europe.”
SmartLab Exchange is attended by invite-only decision-makers. The unique invite-only format of the event means that both sponsors, speakers and delegates can access a closed community that meets their individual needs.
Scimcon is proud to continue its sponsorship of the SmartLab Exchange Europe and US events in 2023, and the team is excited to connect with delegates at the US event on 22-23rd March 2023.
To learn more about how Scimcon supports science centric organisations with data solutions and lab digitalisation, or to organise a meeting at the US event, contact us today.
To catch up on the themes discussed in our EU panel discussion, you can read our blog here.
The countdown to SmartLab Exchange US is on, and we will be officially sponsoring the event and taking part in an insightful panel discussion on Wednesday 22nd March 2023. After our success at SmartLab Exchange EU this year, we are delighted to be travelling to San Diego for the US summit from 22nd to the 23rd March 2023. Here, we will explore what the two-day event will involve.
Our co-founder Geoff Parker, will be leading the opening panel discussion on how artificial intelligence (AI) and machine learning (ML) is will affect the flesh and blood scientists of the future. A cohort of industry leaders will join our lead consultant, including Robert Pluim from Genmab, Miu-Ling Lau from Merck, and Scott Stanley from the University of Kentucky.
The conference in San Diego, North America takes place annually and provides leading experts in the lab informatics field with the opportunity to build connections and take part in thought-leadership discussions. As the event is invite-only, this means that attendees share the same mindset, enabling attendees to connect with the right people and extract the most value out of interactions.
After a short welcome and opening address from NASA data scientist, Timothy Darrah, the panel on ‘What Is The Future For Human Scientists As AI & ML Deliver the Promised Step Change in Laboratory Practice?’, will commence at 8.40am on Wednesday 22nd March 2023. As a panel chair at the event, Geoff will be leading the discussion with key opinion leaders across the lab informatics space, facilitating the discussion among US delegates on what the future benefits may hold for human scientists as AI and ML come to the fore. From 10am onwards, there will be an opportunity for one-to-one business meetings, as well as peer-to-peer networking for delegates and attendees to form new and lasting connections with other industry experts.
At Scimcon, we find real value in attending conferences and tradeshows on a global scale, to meet with informatics industry experts: particularly as SmartLab Exchange US provides us with a platform to debate themes such as: Lab of the Future, Data, Digitalisation, Quality Management and Standardisation, AI and ML, and more. Throughout the event, you can expect to receive expert advice on laboratory digitalisation through automation, cutting-edge informatics tools and technologies that will become part of our daily lab life.
Scimcon’s unique hands-on experience in the lab makes us a trusted partner for many of our clients, as knowing the science as well as the systems is at the heart of what we do. If you’re someone that benefits from face-to-face interactions and networking, come along to the US summit and organise a meeting to find out more about how we can support your informatics endeavours.
Can’t make it to SmartLab Exchange US? Then look out for our upcoming blog that will detail the next event Scimcon is attending…
To organise a meeting with our team at the event, or to learn more about how Scimcon can support your digital lab transformation, contact us today.
Scimcon leads SmartLab Exchange panel session ‘What is the future for human scientists as AI and ML deliver the promised step change in laboratory practice?’?In February and March 2023, Scimcon is hosting panel discussions at both SmartLab Exchange Europe and SmartLab Exchange US. The events, taking place in Amsterdam, The Netherlands and San Diego, North America take place on an annual basis as a forum for scientists in the modern lab to interact, form new connections, and learn more about the evolving technology that is disrupting the lab. Attendees and speakers will debate themes including: Lab of the Future, Data, Digitalisation, Quality Management and Standardisation during the conferences.
As a sponsor and panel chair in 2023, Scimcon’s opening panel discussion ‘What Is The Future For Human Scientists as AI & ML Deliver the Promised Step Change in Laboratory Practice?’ explored the future of human input in the lab, and how artificial intelligence (AI) and machine learning (ML) could impact the structures and processes in place.
Following introductions by Birthe Nielsen of the Pistoia Alliance, the session discussions will be led by Geoff Parker, co-founder of Scimcon. The panel discussion in Amsterdam took place on Wednesday 22nd February 2023, and featured key opinion leaders on the panel including, Edith Gardenier from Genmab, and Andy Phillips and Robin Brouwer from AstraZeneca. The San Diego panel is scheduled for Wednesday 22nd March 2023, and panel participants include Robert Pluim from Genmab, Miu-Ling Lau from Merck, and Scott Stanley from the University of Kentucky.
AI and ML are everywhere we look – in the news, on our phones and other smart devices, and are increasingly making their way into other areas of our daily lives. In transport, we’re seeing steps being made towards self-driving vehicles. But what will happen to those engaged with the transport sector when human input is no longer required?
The same questions can be asked about the lab. We have seen similar disruptions in the past, and many scientists will still remember the days of cutting out chromatograms to weigh them and calculate peak areas – a task which now is fully automated. Through the employment of similar automated technologies – from sample prep, to HTS, and sophisticated instrumentation – we have been able to give more time back to scientists, to allow them to spend longer on the science that matters.
Our panel at SmartLab Exchange Europe and US will dig deeper into AI and ML, and how it will impact the role played by human scientists in years to come.
The panellists will debate the big questions facing scientists on the topics of AI and ML during the sessions, including:
Following the SmartLab Exchange, Scimcon will summarize topics of key interest to the audiences in a future blog.
To join the discussion and hear more how AI/ML will impact laboratories and scientific operations, contact our team for more information.
Scimcon reduces carbon emissions for another year?Scimcon continues to meet the criteria for Carbon Neutral Britain for a second time in 2022. This has been attained through conducting the required measuring, calculating, and offsetting carbon emissions between the period of June 2021 and May 2022.
After first receiving the initial award in 2021, we are proud to have maintained this title throughout the following year, underpinning Scimcon’s global commitment to a sustainable future.
Co-founder of Scimcon Geoff Parker recognises the global nature of the company after first obtaining the award in 2021; “Our customer base consists of a diverse range of lab-centric organisations including large pharma and biopharma companies internationally. As Scimcon sees further expansion and more on-site projects in 2022, we are keen to drive our sustainability initiative through the global projects taking place all over the world. Carbon Neutral Britain pledged to offset our remaining carbon usage with accredited global projects that reduce the amount of CO2 in the earth’s atmosphere. After gauging the environmental impact of our operations, we knew this would be a priority of ours moving forward.”
We renewed our Carbon Neutral Britain certification by offsetting against four international projects set up by our awarding sponsor. The Burgos Wind Project is the largest wind farm in the Philippines. This project produces clean energy, omitting sources that contribute pollutants and greenhouse gas emissions to the environment. Also, the Rice Husk Power Project, the first renewable energy scheme to utilize rice husk as biomass fuel for electricity generation in Cambodia. Not forgetting the remaining two projects, the Andes Mountains Hydro Power in Chile, and the Huaneng Changyi Wind Farm Project. All equally as impactful, we recognise that offsetting our carbon usage against projects like these is vital for our own global strategy here at Scimcon.
As we continue to operate in the complex lab informatics field, Scimcon’s efforts to reduce carbon emissions must continue to benefit our customers. Scimcon will continue to responsibly balance the very real need for on-site client interaction with the use of innovative communications, thereby reducing the impact of unnecessary travel. If taking part in auditory assessments and remediations like this one offsets our necessary emissions and contributes to a more sustainable future, the Scimcon team is more than dedicated to its requirements.
For more information about how we originally achieved our certification, visit our blog. To learn how Scimcon can help support your business with its IS strategy, contact us.
Scimcon Sponsors Oxford Global’s SmartLabs UK?SmartLabs UK is just days away from taking place in the capital of the country, and we’re proud to be sponsoring the 4th Annual SmartLabs Congress 2022 in London this year. Here, we explore what the two-day event will entail.
On the 8th and 9th September 2022, the Novotel London West will open its doors in welcoming leading experts of the lab informatics field to educate, inform and excite. From technical presentations to think-tank roundtable discussions, we had to join in.
Within a post-pandemic society, our reliance upon digital technology is greater than ever. In the field of life sciences, lab scientists are seeking better ways of consolidating and storing data. While paper-based labs are largely a thing of the past, many are filled with isolated information systems and nonstructured approaches, such as experimental workflows based at least partly in Excel.
Not only do such environments risk human error in transcription and duplication they restrict the organisations’ ability to search and mine data for critical insights.
Removing these disjointed workflows and dataflows are a key part of the wider digitalisation processes which are taking place throughout the lab space. It is no longer enough for laboratories to solely rely on LIMS, ELN, SDMS and instrument data systems.
It is important for the Scimcon team to stay ahead of the zeitgeist from customer-to-customer. Keeping up to date with current trends in lab informatics is at the heart of what we do.
What has this got to do with Oxford Global’s SmartLabs UK? The event will be split into two easy-to-follow streams, featuring all things lab informatics. If you’re unsure of what the latest innovations are, SmartLabs UK will provide the latest updates via over 50 cutting-edge presentations and a series of interactive discussions.
With virtual events becoming the norm in recent years, it is exciting for attendees to be given the opportunity of an in-person, collaborative experience. Day one of Oxford Global’s SmartLabs UK involves the exploration of monitoring and operational tools, and virtual reality tech demonstrations. Day two will delve into data standardisation and governance in lab informatics, and this is just the beginning. Some of the confirmed leading experts attending the event include the Genentech Director, Erik Bierwagen and Goldsmiths University professor, Larisa Soldatova.
If you think you’ve heard all of the latest informatics tools and technologies that are available, one of the benefits of attending SmartLabs UK will be the advice given on how to use these systems to leverage your data. After all, it is vital to understand how to put theory into practice. Taking advantage of the event’s opportunity for interaction, the 4th annual congress will provide an Event App. This will allow attendees to watch selected presentations on-demand, and contains extensive networking features. The benefits of using the app include; a dynamic agenda in which you will receive notifications of any changes to the day, a chance to the view the profiles of all speakers and organisations and a personalisation tool that allows you to organise and plan your schedule. There will also be an Event App prize draw for those participating in specified activities throughout the event.
As programme sponsor of Oxford Global’s SmartLabs UK, we are thrilled to assist in paving the way to laboratory digitalisation through automation, cutting-edge informatics tools and technologies. We believe that the digitisation of your laboratory projects should be done with the best advice and trusted expertise behind you. In turn, this is vital for the healthy reproduction of the life sciences industry.
Throughout the event, you can expect to receive this information in an engaging, illuminating way and through a variety of mediums. We will help to deliver think-tank discussions as well as trusted, face-to-face conversations with our team members who have direct lab experience. For those who prefer independent research and networking, we support the use of the Event App for all your lab informatics queries.
To organise a meeting with our team at the event, or to learn more about how Scimcon can support your digital lab transformation, contact us today. To learn more about lab informatics read more on our blogs via our website.
What can we expect from Lab of the Future??With the March congress on the horizon, we take a look at some of the trends within the industry over the last year, and what to expect from the March event.
It’s not a surprise that, with the impact of the pandemic, the importance of digitisation has been heavily reinforced. In early 2020, we reflected on Scimcon’s experience of providing remote support to clients and some of the changes we witnessed as a result of the COVID-19 pandemic, and now almost two years on, we’re seeing a new way of working across labs and organisations.
With digital transformation hot on the global agenda, what’s next for analytical and clinical laboratories? What will the lab of the future look like? Lab of the Future’s March congress aims to answer that question.
With a selection of activities scheduled across the 2-day event, there is no shortage of opportunity for attendees to get involved – whether that’s in-person in the Boston, MA event, or from the comfort of their own workspace via virtual attendance.
The agenda features a range of roundtables and presentations, including plenary sessions, as well as more focussed discussions on specific topics, from the digital lab to the connected innovation lab. The tradeshow will also feature plenty of networking session throughout, allowing individuals to form valuable new connections and learn more about some of the key players and innovation across the industry.
The event also welcomes a wide of speakers presenting and hosting discussions during the 2-day period. With confirmed speakers from GSK, Merck, Pfizer, Boehringer Ingelheim, and Astrazeneca, amongst many others, it’s guaranteed to be an event filled with interesting discussions from some of the organisations that have become household names over the last 24 months.
In addition to discussions, the event is also hosting technology showcases, for leading solution providers to demonstrate some of the latest and most disruptive innovation that they’ve been perfecting behind the scenes. Focussed work tracks also allow attendees to take a more in-depth look at some of the latest technologies and trends in 4 key areas – lab automation, digitalisation, connectivity, and innovation.
Lab of the Future is an insightful event, and one that we look forward to as well as sponsor each year. The in-person aspect of the event will make for a refreshing change following the pandemic restrictions experienced worldwide, but the additional virtual element of the tradeshow means that users around the globe can participate and get involved, regardless of restrictions and concerns surrounding COVID-19 and travel.
However, in addition to the event, the lab of the future is a concept. Our team at Scimcon has over 20 years of experience in laboratory informatics, and with many of our team members having direct lab experience, we can help you get your digitisation and laboratory informatics project off the ground, whilst understanding the questions and concerns faced by scientists every day.
Scimcon is proud to be sponsoring the Lab of the Future March congress, taking place both virtually and in-person at Hilton Back Bay, Boston, MA on 22nd-23rd March 2022. To organise a meeting and to learn more about how Scimcon can take your lab to the future, contact us today.
A few months ago I read an article on bioprocess 4.0, which discusses how combining AI and ML with extensive sensor data collected during biopharmaceutical manufacturing could deliver constant real-time adjustments, promising better process consistency, quality and safety.
This led to a discussion with some of my colleagues about what the future of Lab Informatics could look like when vendors start to integrate AI and ML into products such as lab information management systems (LIMS), electronic lab notebooks (ELN) and others.
AI: In simple terms, AI (artificial intelligence) makes decisions or suggestions based on datasets with the ultimate aim of creating truly instinctive system interfaces, that appear like you are interacting with a person.
ML: ML (machine learning) is one of the methods used to create and analyse the datasets used by AI and other system modules. Crucially machine learning does not rely on a programmer to specify the equations used to analyse data. ML looks for patterns and can ‘learn’ how to process data by examining data sets and expected outcomes.
The following example is extremely simple, but it helps to illustrate the basic principles of ML. The traditional approach to adding two values together is to include the exact way the data should be treated within the system’s configuration.
By using ML, the system is given examples, from which it learns how the data should be processed.
Once the system has seen enough datasets, the ML learning functions learn that A & B should be added together to give the result. The key advantage of ML is its powerful flexibility. If we feed our example system with new datasets, the same configuration could be used to subtract, multiply, divide or calculate sequences all without the need for specific equations.
Possibly without realising it, we already see ML in everyday life. When you open Netflix, Amazon Prime Video or Apple TV+ the recommended selections you are presented with are derived using ML. The systems learn the types of content each of us enjoy by interpreting our previous behaviour.
Most of us also have experience of personal assistants such as Amazon’s Alexa and Apple’s Siri. These systems are excellent examples of AI using natural speech to both understand our instructions and then communicate answers, or results of actions. ML not only powers the understanding of language but also provides many of the answers to our questions.
The fact that we all can recognise such an effective and powerful everyday example shows just how far AI and ML have come since their inception in the 1950s.
Voice recognition software has been available for decades; however, it has not made large inroads into the lab. It has been used in areas where extensive notes are taken, areas such as pathology labs or for ELN experiment write ups. These are the obvious ‘big win’ areas because of the volume of text that is traditionally typed, the narrow scope of AI functionality needed, and the limited need to interface to other systems.
However, companies such as LabTwin and LabVoice are pushing us to consider the widespread use of not just voice recognition, but natural language voice commands across the lab. Logging samples into LIMS, for example, is generally a manual entry, with the exception of barcode scanners and pre-created sample templates, where possible. Commands such as “log sample type plasma, seals intact, volume sufficient, from clinic XYZ” is much simpler than typing and selecting from drop downs. Other functions such as “List CofAs due for approval”, “Show me this morning’s Mass Spec run” would streamline the process of finding the information you need.
Take stability studies where samples are stored in various conditions (such as temperature, humidity, and UV light) for several years and ‘pulled’ for analysis at various set points throughout the study.
The samples are analysed for decomposition across a matrix of conditions, time points and potentially product formulations or packaging types. Statistics are produced for each time point and used to predict shelf life using traditional statistics and graphs.
Stability studies are expensive to run and can take several years to reach final conclusions.
AI and ML could, with access to historical data, begin to be used to limit the size of studies so they can focus on a ‘sweet spot’ of critical study attributes. Ultimately, this could dramatically reduce study length by detecting issues earlier and predicting when failure will occur.
Instrument downtime, particularly unscheduled, is a significant cost to laboratories. Using ML to review each new run, comparing it with previous runs and correlating with system failures, could predict the need for preventative maintenance.
AI/ML interventions such as these could significantly reduce the cost of downtime. This type of functionality could be built into the instruments themselves, systems such as LIMS, ELN, Scientific Data Management Systems (SDMS) or instrument control software. If this was combined with instrument telemetry data such as oven temperature, pump pressure or detector sensitivity we have the potential to eliminate most unplanned maintenance.
Another major concern with instrumentation in labs today is scheduling and utilisation rates. It is not uncommon for instruments to cost hundreds of thousands of pounds/dollars/euros, and getting the highest utilisation rates without obstructing critical lab workflows is a key objective for labs. However, going beyond the use of instrument booking systems and rudimentary task planning is difficult. Although it is not hard to imagine AI and ML monitoring systems such as LIMS and ELN, there is far more that can be done to ensure this functionality can go even further. Tasks such as predicting workload; referring to previous instrument run times; calculating sample / test priority; and even checking for scientist’s free diary slots are all tasks that can be optimised to improve the scheduling of day-to-day laboratory work. The resulting optimisation would not only reduce costs and speed up workflows, but would dramatically reduce scientists’ frustration in finding available instruments.
Over the last few years, there has been a massive focus on data integrity within regulated labs. However, many of the control mechanisms that are put in place to improve integrity or mitigate issues are not real-time. For instance, audit trail review is often done monthly at best, and generally quarterly. Not only is it tedious, it is all too easy to miss discrepancies when reviewing line upon line of system changes.
ML could be used to monitor the audit trails of informatics systems and instrument systems in real-time and AI could report any out of the ordinary actions or result trends that do not ‘look’ normal to managers. Where appropriate, the system could interact with the corporate training platform and assign specific data integrity training to applicable teams. The potential increase in integrity of data while reducing the headcount needed to do so could be significant.
Lab directors, IT professional and the Lab Informatics industry are quite rightly focusing on the digital lab and digital lab transformations. Done right, this will form and excellent platform for the next level of informatics development using AI and ML to propel not just digital science forward, but to revolutionise the everyday life of scientists. Personally, I cannot wait!
To find out more about how Scimcon can support your informatics project, contact us today.
