SCOPE 2024

Slope: why are traditional approaches to sample tracking and data management no longer sufficient?

By Liza Laws

- Last updated on GMT

© Getty Images
© Getty Images
Mark Melton is a precision-based medicine and biospecimen operations expert at Slope.

During SCOPE 2024 held in Orlando, he shared insights into the complexities of sample management and data reconciliation, alongside precision medicine, shedding light on the challenges faced by teams in the industry.

The company, a provider of solutions for sample and data management in clinical trials, also unveiled its progressive tools aimed, it says, at revolutionizing the way clinical trials are conducted. 

Melton shared his journey from being a scientist to his current role, emphasizing the role of mentors and hands-on experience in shaping his career. He emphasized the significance of precision-based medicine and biomarker research, underscoring the need for robust sample and data management solutions in the era of precision medicine.

Reflecting on the rapid growth in the field of precision medicine, Melton highlighted the exponential increase in published papers and registered precision medicine trials. He underscored the importance of adapting to this evolving landscape while addressing the inherent challenges in sample management and data integration.

Melton pressed the importance of understanding the intricacies of sample lifecycle management, lab operations, and database processes in clinical trials. He highlighted the need for a comprehensive approach to address these challenges effectively, acknowledging the complexity of the subject matter.

Addressing his audience, Melton shone a light on the importance of understanding the problem landscape rather than merely teaching predefined solutions. His journey has been marked by his relentless pursuit of excellence in sample management practices.

Sample lifecycle management

"Sample management isn't just about logistics; it's about understanding the nuances of sample lifecycle management," Melton said.

“The rise of precision-based medicine has ushered in a new era of complexity, necessitating innovative approaches to sample tracking and data management,” he explained.

Central to Melton's discourse was the need for collaborative solutions that bridge the gap between scientific innovation and operational efficiency.

Mark Melton Slope
Mark Melton, Slope. ©

“We must align our thought processes to navigate the challenges posed by precision-based medicine collectively," he said.

Evolving landscape of precision-based medicine

A key challenge says Melton is the discrepancy between traditional clinical study frameworks and the evolving landscape of precision-based medicine. As biomarker assays and specialized labs gain prominence, the need for agile sample management processes becomes paramount.

“The traditional framework of clinical studies is ill-equipped to handle the demands of precision-based medicine,” Melton observed. “We must adapt our practices to accommodate the complexities of sample tracking and data reconciliation in this new paradigm.”

Throughout his talk, Melton underscored the critical role of informed consent in sample management. Citing real-world examples, he emphasized the importance of robust governance mechanisms to ensure compliance and mitigate risks associated with evolving regulations.

Melton's insights extended beyond theoretical frameworks to practical solutions implemented during his tenure on the sponsor side. He shared success stories of leveraging technology to streamline sample tracking and enhance operational efficiency.

“Technology plays a pivotal role in revolutionizing sample management practices. From API integrations to real-time data visualization, digital solutions offer unprecedented opportunities to optimize sample lifecycle management.”

Navigating the complexities of precision-based medicine

Melton urged industry stakeholders to embrace a culture of continuous improvement in sample management practices.

“By fostering collaboration and leveraging innovative technologies, we can navigate the complexities of precision-based medicine with confidence," he said.

“Informed consent, establishing external relationships, data reconciliation, sample tracking, and data governance are crucial aspects of clinical trial management.

“While it's impossible to cover everything in one session, we aim to provide valuable insights and best practices to navigate these complexities.

"As the field of precision medicine continues to expand, we're witnessing a surge in demand for efficient sample and data management solutions," noted Melton. "However, the increasing complexity of assays and logistics poses significant challenges for clinical trial teams."

Critical role of logistics and data integration

Melton delved into the intricacies of sample tracking, emphasizing the critical role of logistics and data integration in ensuring the integrity of samples throughout their journey. He highlighted the need for collaboration among stakeholders and the importance of leveraging technology to streamline sample tracking and data reconciliation processes.

"Traditional approaches to sample tracking and data management are no longer sufficient in the era of precision medicine," said Melton. "We need innovative solutions that can adapt to the evolving needs of clinical trials while ensuring data integrity and compliance."

Melton emphasized the importance of collaboration and innovation in driving advancements in sample and data management. He encouraged clinical trial teams to embrace technology and adopt a proactive approach to address the evolving needs of the industry.

As Melton's talk came to an end, his vision for the future of sample management was clear. With Slope poised to host more insightful discussions on this evolving domain, the journey toward revolutionizing sample management has only just begun.

Related news

Show more

Related products

show more

Saama accelerates data review processes

Saama accelerates data review processes

Content provided by Saama | 25-Mar-2024 | Infographic

In this new infographic, learn how Saama accelerates data review processes. Only Saama has AI/ML models trained for life sciences on over 300 million data...

More Data, More Insights, More Progress

More Data, More Insights, More Progress

Content provided by Saama | 04-Mar-2024 | Case Study

The sponsor’s clinical development team needed a flexible solution to quickly visualize patient and site data in a single location

Using Define-XML to build more efficient studies

Using Define-XML to build more efficient studies

Content provided by Formedix | 14-Nov-2023 | White Paper

It is commonly thought that Define-XML is simply a dataset descriptor: a way to document what datasets look like, including the names and labels of datasets...

Related suppliers

Follow us

Products

View more

Webinars