Clinical Scorecard: The Past, Present and Future of Non-Target Screening

At a Glance

Key Highlights

• NTS is evolving with a focus on data handling and interpretation.
• It is well established in metabolomics and environmental water analysis.
• AFIN-TS aims to support laboratories in implementing NTS.
• Machine learning and data management platforms are critical for NTS advancement.
• Collaboration across disciplines enhances the effectiveness of NTS.

Guideline-Based Recommendations

Diagnosis

• Utilize mass spectrometry for identifying unknown compounds.

Management

• Implement holistic NTS data management platforms for data storage and evaluation.

Monitoring & Follow-up

• Regularly update and maintain machine-readable data for retrospective analysis.

Risks

• Challenges include sustainable data storage and the need for robust data processing.

Patient & Prescribing Data

Not applicable; focuses on laboratory and research settings.

NTS can identify unknown substances in various fields, enhancing safety and compliance.

Clinical Best Practices

• Encourage interdisciplinary collaboration to enhance NTS applications.
• Provide training and education on NTS methodologies for laboratory personnel.
• Utilize robust analytical techniques and workflows for reliable results.

References

• The Analytical Scientist