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Maximising Insights from Your Clinical Trial Tissue
A practical session on stronger, trial-ready insight from tissue: study design, sample handling, biomarker readouts, and quantitative pathology. Hosted by HistologiX (GLP/GCP tissue science) and Diagnexia Analytix (expert-led, AI-enabled pathology for trials).
in partnership with
HistologiX
GLP/GCP tissue-based biomarker analysis, histology, IHC, IF, ISH, and digital image analysis from discovery through clinical studies.
Diagnexia Analytix
AI-enabled, expert-driven quantitative pathology between sponsors, CROs, and central labs: protocol design through regulator-ready data delivery.
session focus
Why this session
Clinical trial tissue is finite, highly regulated, and central to biomarker and endpoint decisions. HistologiX supports sponsors with bespoke tissue workflows and readouts. Diagnexia Analytix provides subspecialist pathology depth, quantitative scoring, reproducibility across sites and phases, and stronger exploratory data interpretation, so tissue data supports decisions rather than sitting in silos.
On the agenda
What you’ll take away
- How to align tissue collection, processing, and assays with your clinical trial questions, so slides and data support the endpoints you need.
- Where central lab execution and expert quantitative pathology fit together, and how to reduce inconsistency that weakens biomarker or efficacy readouts.
- Practical perspective from a leading GLP/GCP tissue CRO and from Diagnexia Analytix on making tissue-derived insight consistent and decision-ready.
speakers
Who you’ll hear from
Session details will be confirmed in your calendar invite after registration.
Dr McFarlane leads HistologiX from the front as group CEO: GLP/GCP tissue science for sponsors, bespoke histology, immunostaining, digital pathology, and trial-aligned readouts as one accountable team.
Diagnexia Analytix is the translational and clinical research services arm for quantitative, expert-led pathology: subspecialist access, reproducible scoring, and AI-supported workflows that shorten time from sample to actionable insight.