Event

Join ZONTAL at Booth 270 during BioTechX Europe in Basel from October 6-8

Visit ZONTAL at Booth 270 during BioTechX Europe in Basel from October 6–8! Explore scientific data infrastructure, FAIR data architectures, and defensible AI for pharma R&D.

Basel Rhine river and historic skyline — BioTechX Europe 2026 host city

BioTechX Europe is Europe's largest congress focused on diagnostics, precision medicine, and digital transformation in pharmaceutical development and healthcare. It features a gathering of over 200 leading solution providers specializing in drug discovery, data management, and artificial intelligence.

Join ZONTAL at Booth 270 from October 6–8 in Basel, Switzerland to see firsthand how our scientific data platform transforms laboratory workflows into governed, AI-ready data assets.

ZONTAL's Keynote Presentation

Track: Data Integration + FAIR
Date & Time: Day 1 — October 6, 2026 at 3:50 PM (15:50)
Speaker: Dr. Loren Perelman, PhD, Vice President of Customer Experience

From Paperless Labs to Defensible Decisions: Evidence Infrastructure for Scientific AI

Pharmaceutical research and development (R&D) laboratories have made major progress toward paperless workflows. Electronic lab notebooks (ELNs), laboratory information management systems (LIMS), and chromatography data systems (CDS) capture measurements digitally. Yet when a model flags an atypical impurity trend or recommends a formulation change, scientists often cannot trace that recommendation through instrument calibration, method validation, sample history, and study context to the original measurements. The data is digital; the evidence chain remains fragmented.

This keynote introduces evidence infrastructure: governed, bidirectional provenance created as data flows from instruments to scientific decisions. Grounded in the ICAD Principles (Integrate → Contextualize → Analyze → Decide), each integration enriches a scientific context graph. Typed relationships link analytical results to methods, specifications, stability protocols, batch genealogy, instrument state, and regulatory submissions. As these connections accumulate, the context graph becomes an operational knowledge graph whose conclusions remain traceable to source evidence.

The talk shows why evidence chains should be created during ingestion rather than reconstructed for each AI deployment, and how this supports scientific review, human oversight, and evolving transparency expectations. Attendees will leave with practical architectural patterns for assessing whether their digital lab produces accessible data alone or defensible evidence for scientific AI.

Featured Speaker

Dr. Loren Perelman, PhD
Vice President of Customer Experience, ZONTAL

Dr. Loren Perelman is a technology and business executive specializing in scientific data, digital transformation, and customer experience for the life sciences industry. As Vice President of Customer Experience at ZONTAL, he leads global customer delivery, professional services, and customer success, helping some of the world's largest pharmaceutical and biotechnology organizations transform complex scientific data into strategic business assets.

With more than two decades of experience spanning biotechnology, software, and enterprise transformation, Loren has built and led high-performing organizations responsible for large-scale implementations, scientific data integration, digital laboratory modernization, and operational excellence. His career uniquely combines deep scientific expertise—including a Ph.D., published research, and multiple patents—with executive leadership in enterprise software, enabling him to bridge the gap between science, technology, and business strategy.

Interested in ZONTAL?

Learn how we help pharma R&D teams govern and connect scientific data.