Time-saving global filters: Instead of applying the same filters across multiple charts in a dashboard, you can now apply dashboard-level common filters, and all visualizations will instantly reflect your filtered dataset.
Improve collaboration and onboarding with organizational sharing: New “share with all” functionality enables organization-level permissions. New users can access dashboards as soon as they log in.
Visualization engine enhancements:
Statistical tests, including parametric and nonparametric tests, for richer biomarker data analysis / visualization (Figure 1)
Sample testing status heatmap for rapid insights (Figure 2)
Figure 1. Statistical tests are now available, including statistical tests for boxplots: Compare boxplots within a series to determine if their mean difference is statistically significant.
Figure 2. Sample status heatmaps added as visualization options. Gain rapid insights into multiple sample statuses to track sample collection or testing, as part of our Sample Intelligence Solution.
I just read Microsoft’s latest Work Trend Index report, “The Year the Frontier Firm Is Born,” and it resonates deeply with the challenges and opportunities we’re seeing in precision medicine R&D.
The report highlights a seismic shift: the rise of AI agents isn’t just about automating tasks; it’s about fundamentally rewiring how businesses operate.
Key takeaways from the report include:
Intelligence on Tap: AI is becoming an abundant, on-demand resource, offering “digital labor” to bridge the gap between increasing business demands and human capacity.
Human-Agent Teams: The future isn’t human vs. machine, but human + machine. Teams will increasingly integrate AI agents as “digital colleagues,” shifting the focus from functional silos to outcome-driven “Work Charts”. This requires a new mindset, viewing AI not just as a tool, but a thought partner.
Every Employee an Agent Boss: Managing and directing AI agents will become a core skill across all levels, accelerating careers and enabling more strategic work earlier.
This vision of AI-augmented work mirrors the complexities we navigate daily in the precision medicine value chain.
Currently, getting answers often involves a complex “information ping-pong” across various teams and systems, delaying critical insights. Clinical trials generate vast amounts of data, yet extracting timely value remains a significant hurdle for many organizations.
At QuartzBio, we believe the future lies in connecting this intricate value chain. We envision a future empowered by a seamless, semi-autonomous system – the QuartzBio Platform. This network of specialized AI agents is designed not to replace human expertise, but to amplify it.
Our platform aims to:
Autonomously ingest and manage complex data streams across the R&D ecosystem.
Enable conversational interaction, allowing researchers and operational teams to interrogate data and receive insights in seconds, not weeks.
Proactively deliver rich, contextual information to support strategic decision-making.
Foster interoperability and collaboration, breaking down data silos.
By integrating human ingenuity with intelligent agents, we can shift the focus from manual processes to strategic insight generation, ultimately accelerating the delivery of novel treatments.
The “Frontier Firm” concept isn’t just a future hypothetical; it’s the operational model we are building towards in life sciences today.
https://www.quartz.bio/wp-content/uploads/2025/04/QB_LinkedIn_AI-Agents-Reshape_1200x1200_A_.jpg12001200Chandreyee Dashttps://www.quartz.bio/wp-content/uploads/2026/05/2026-QB-Logo_New-Brand-Update_QB-DK-Blue.pngChandreyee Das2025-04-29 12:32:272026-05-28 12:18:49The Dawn of the Frontier Firm: How AI Agents Are Reshaping Work & Precision Medicine
Missed our presentation at Bio-IT World?
Watch Tobi Guennel, Ph.D., QuartzBio’s Co-founder and Chief Technology Officer, demonstrate how a network of domain-specific AI agents, orchestrated by our first-in-class Virtual Assistant, empowers informatics, translational, and IT teams to conversationally explore and visualize clinical, sample, and biomarker data. Our agentic platform can perform tasks semi-autonomously based on expected events and observed data trends.
You’ll see how you can get from data to insights by generating analytics and visualizations in minutes instead of hours or days — accelerating study close and time-to-market.
https://www.quartz.bio/wp-content/uploads/2025/04/LinkedIn_Intel-at-Scale_1200x1200_Update-1_.jpg12001200Chandreyee Dashttps://www.quartz.bio/wp-content/uploads/2026/05/2026-QB-Logo_New-Brand-Update_QB-DK-Blue.pngChandreyee Das2025-04-16 16:20:002026-05-28 12:22:44The QuartzBio AI Agent Network: Intelligence at Scale
R&D teams in biomarker-rich clinical trials are constantly chasing insights around a complex data ecosystem. By the time stakeholders find their data, gain access, ideate on the right analysis and get results, the chance to make impactful decisions may be over.
With QuartzBio’s AI Agent Platform, you can ask questions, get answers, and gain insights at the speed of decision-making.
Domain-specific AI agents, orchestrated by our Virtual Assistant, enable operations, translational, and informatics teams to conversationally interact with a connected ecosystem of biomarker, sample, and clinical data.
Join Bill Hall as he chats with the Virtual Assistant, conversationally extracting insights in seconds, achieving:
Amplified Operational Efficiency: e.g., “Show me biopsy samples from patients in the 70th percentile of JAK2 expression at baseline”
Autonomous Workflows & Interoperability: e.g., automatically ingesting and harmonizing assay data upon arrival from testing lab
Amplified Translational Research: e.g., ““Compare gene expression profiles for responders vs non-responders at baseline”
You’ll learn how QuartzBio’s approach transforms the way R&D teams work with 360° intelligence.
Who should attend:
Translational Scientists
Biomarker Operations and Biospecimen Operations Teams
https://www.quartz.bio/wp-content/uploads/2025/04/LinkedIn_MAY-Webinar_1200x1200_OCT-Update-2-1.jpg12001200Chandreyee Dashttps://www.quartz.bio/wp-content/uploads/2026/05/2026-QB-Logo_New-Brand-Update_QB-DK-Blue.pngChandreyee Das2025-04-11 13:34:422026-05-28 12:31:25Webinar: QuartzBio AI Agents Accelerate Data-to-Insights
Watch the full episode:
Tobi Guennel, PhD, SVP of Product Innovation at QuartzBio, joins AI expert Srivatsan Nagaraja to discuss his insights on integrating AI into the precision medicine value chain in an episode of the Life Sciences D’n’A Podcast.
Tune in to learn about:
Leveraging AI and advanced analytics to improve clinical trial efficiency
Using AI agents to automate clinical trial operations
https://www.quartz.bio/wp-content/uploads/2025/03/QB_LinkedIn_Integration-AI-Podcast_1200x1200.jpg12001200Chandreyee Dashttps://www.quartz.bio/wp-content/uploads/2026/05/2026-QB-Logo_New-Brand-Update_QB-DK-Blue.pngChandreyee Das2025-03-27 19:07:382026-04-14 18:58:57Podcast: Integrating AI into Precision Medicine
The promise of successful drug development starts with the sample data value chain.
Sample Data Value Chain: From Site to Result
In recent years, sample management practices have been lead directly to increased quality, speed, and reproducibility of research and development.
Biopharma sponsors have joined forces to pursue standardized and interoperable systems, processes, and ecosystems for connecting the sample data value chain. As a direct result, technology and data is playing and will play a key role for the future of clinical and sample operations.
In his presentation, “From Site to Result: Real-Time Sample Intelligence Unlocked with GenAI,” QuartzBio’s CTO and Co-Founder Tobi Guennel, PhD explores the opportunities for technology to empower the people and processes across the entire sample data value chain, addressing:
The importance of the sample data value chain for R&D productivity
Benefits of connecting data across the entire sample data value chain instead of focusing on individual links of the chain
How a platform approach, leveraging a domain-specific AI Agent Network, enables seamless data ingestion and real-time sample intelligence across the value chain
https://www.quartz.bio/wp-content/uploads/2025/03/LInkedin_Watch-Video_SCOPE2025_.jpg12001200Chandreyee Dashttps://www.quartz.bio/wp-content/uploads/2026/05/2026-QB-Logo_New-Brand-Update_QB-DK-Blue.pngChandreyee Das2025-03-03 16:45:022026-05-28 12:36:55From Site to Result: Real-Time Sample Intelligence Unlocked with GenAI
19 December 2024 — Before we celebrate the new year, let’s celebrate new feature releases, brought to you by the winning collaboration between QuartzBio’s product teams, managed services teams, and, most of all, our clients.
This month, we released version 10.0.0 of the QuartzBio Platform, delivering enhancements to our solutions for biomarker and sample intelligence, as well as the underlying Enterprise Data Platform, which supports data management activities.
If you’re a current QuartzBio user, log in now to see how these features and improvements can help you work faster and impress your colleagues.
Highlights of What’s New
Sample Intelligence (vSIM) and Biomarker Intelligence (eBDM) products:
Create tailored plots easily and update plots in real time with more flexible visualization tools (Figure 1)
Easily navigate, filter, sort Data Hub and Dashboard elements with intuitive new layouts
Group connected resources of different types with new “Activity” tag (Figure 2)
Faster access to vSIM reports with more customizable data table outputs
Figure 1. New plot options enhance readability, offering full labels, color palette selection, and more flexible plot rendering.
Figure 2. Activity Tag: Quickly identify all resources related to a specified “Activity” (e.g., Sample Collection Monitoring) using this new tag and filter.
Enterprise Data Platform (EDP data management layer):
Improved efficiency and accuracy with enhanced file and vault management
Robust process tracking with auditable trail of user actions
Slice data faster with enhanced Global Search queries (Figure 3)
Figure 3. Advanced global search filters: Efficiently perform advanced global searches by applying filters directly from the UI. R and Python queries are automatically generated based on the filter values, saving time and eliminating manual steps.
Feedback?
We love to hear from current and potential users! Let us know your thoughts on this release and ideas for future enhancements!
https://www.quartz.bio/wp-content/uploads/2024/12/Figure-1-for-24R3-post-1.png664829Chandreyee Dashttps://www.quartz.bio/wp-content/uploads/2026/05/2026-QB-Logo_New-Brand-Update_QB-DK-Blue.pngChandreyee Das2024-12-19 10:10:362026-05-22 16:38:55QuartzBio Platform Version 10.0.0: Flexibility, Efficiency and Accuracy
“Harnessing Insights Across Clinical Trials with the Power of Conversation” — a presentation by Tobi Guennel, Ph.D., head of product development and innovation at QuartzBio
Watch the recording of the presentation:
Summary:
Discussions were lively at the “Digitization of Clinical Development & Clinical Trials” symposium at last week’s Bio-IT World conference.
Addressing an audience of biotech and pharma IT and data leaders, QuartzBio’s Tobi Guennel gave a provocative presentation on how deploying generative AI can amplify the ability of precision medicine approaches to accelerate drug development.
“It’s great to have a clinical trials-focused session at Bio-IT World, and being able to share success stories, especially about AI, in this landscape,” said Guennel. “We are firm believers that iteration and collaboration can only improve technology and create new paths for innovation.”
Guennel’s narrative centered around QuartzBio’s Precision Medicine AI Agent Platform, powered by AI, which allows precision medicine development teams to extract the most value from clinical trial samples and exploratory biomarker data.
“One benefit of natural language understanding capabilities of conversational AI is that a broad range of user personas, with diverse roles and functions, can interact with and extract insights from a unified, singular data ecosystem of sample and biomarker data.
Teams such as data science, translational research, and biosample or biomarker operations can now interrogate a unified data asset using natural language.”
Considerations for developing a large language model (LLM) ecosystem for precision medicine
To build a solid GAI framework to enable our sample and biomarker intelligence products, the QuartzBio team asked themselves:
What LLMs are needed to support our domain and the tasks performed through the components of our products?
How can we integrate these models into a scalable GAI workflow to support user stories and workflows without having to re-invent the wheel as we move from use case to use case?
QuartzBio’s Precision Medicine AI Agent Platform, formerly called the Biomarker Intelligence Platform, powered by AI: An ecosystem of domain- and task-specific small LLMs trained by fine-tuning existing foundational models (FMs). LLMs support the data management layer of the platform, the business intelligence layer to support conversational and prescriptive AI insights, and the overarching navigational AI component to enhance user experience and adoption.
Considerations for developing individual LLMs:
LLM Development
Leverage existing Foundational Models: Start with existing powerful language models that are right-sized.
Fine-Tuning: Customize these models for specific domains and tasks.
Small LLMs: Create smaller, specialized models for targeted applications for improved cost/accuracy.
GAI Integration
Prompt Engineering: Design tailored prompts to guide LLM behavior based on supported tasks.
Leverage RAG: Combine LLMs with retrieval mechanisms for enhanced performance.
User Agents: Implement user-specific agents to optimize model interactions and leverage live data.
Benefits
Precision: Fine-tuned LLMs provide accurate and context-aware responses for specific tasks.
Supporting the entire precision medicine lifecycle
QuartzBio is integrating this GAI framework seamlessly into its Biomarker Intelligence platform to support a broad range of user stories and flows with a suite of SaaS products.
Sponsors are using the platform and products to build an interconnected data asset and, subsequently, draw insights via QuartzBio’s Biomarker Intelligence tools powered by conversational AI.
Sponsors leverage the platform as a force multiplier by creating internal efficiencies. Their teams are free to focus on insight generation rather than data wrangling.
Further, the QuartzBio platform amplifies knowledge by centralizing information and insights and making these easily consumable by a wide range of stakeholders. Ultimately, this increased access to intelligence enables sponsor teams to advance Precision Medicine objectives, such as accelerating patient selection strategies, identifying drug targets, and driving clinical trial efficiency.
Learn more: Watch a demo of QuartzBio’s AI-powered platform
Join the next webinar demonstration of our platform by signing up on our Webinars & Events page! We’ll invite you to our next webinar, and meanwhile you can watch one of our recent demos on demand.
https://www.quartz.bio/wp-content/uploads/2024/08/QB_BIOIT_PRES_Tobi_Followup_04242024.jpg10801080QuartzBio Teamhttps://www.quartz.bio/wp-content/uploads/2026/05/2026-QB-Logo_New-Brand-Update_QB-DK-Blue.pngQuartzBio Team2024-04-23 15:30:242025-03-26 10:58:06AI-Enabled Biomarker Intelligence — QuartzBio at Bio-IT World 2024
Key Takeaways from SCOPE Summit for Clinical Operations Executives
Tobi Guennel, PhD, QuartzBio’s CTO and Co-Founder, energized the Biomarkers & Precision Medicine track at the SCOPE Summit for Clinical Operations Executives by showing how generative AI can address challenges faced biospecimen and biomarker operations teams, as well as clinical and translational teams, when gathering insights on samples across all parts of a complex biomarker data ecosystem.
Sign up to watch the recording:
Sponsor teams need faster answers from disconnected data streams.
Sponsor teams want more clarity. The current chaotic state of biospecimen management hinders speedy decision-making. Because of the influx of specimen (and their associated data) coming from hundreds of varied locations (in just as many varied formats), teams can feel overwhelmed with the sheer volume of information to manage.
“What’s the status of today’s shipments?” “Where is this sample’s location?” “How is Site 53’s sample collection performance?” “What’s the current turnaround time for genetic testing?”
How is the current system holding businesses back?
Quality data is the foundation of precision medicine but most of this critical data is siloed, inconsistent, and inaccessible. In fact, half of all translational scientists in our industry struggle to access the insights they need to complete their work effectively. Further, many of these scientists report only 60% confidence in the accuracy of this data when manual data entry is considered, and the revenue loss due to data ecosystem challenges is over $31B annually. But, for the companies who can overcome these data and technology ecosystem challenges, the reward is great: these companies are 23x more likely to be profitable than those who cannot.
Generative AI overcomes data challenges
As discussed at the SCOPE Day 1 plenary panel on generative AI, there is now broad awareness of the potential for AI to accelerate drug development. Specifically, we heard how AI is already enabling universal data structuring, harnessing large language models to tackle clinical research tasks, and integrating multimodal data.
Generative AI empowers drug development teams to overcome data and technology ecosystem challenges because it can automate data management tasks and break down data silos, helping businesses gain a holistic view of their operations, and free teams to make more informed decisions, faster. Instead of requiring an extensive understanding of coding and statistical modeling, generative AI now allows users to ask requests in plain language. Ask a question, get an answer.
Generative AI applied to both data management AND business intelligence drives precision medicine at scale
QuartzBio is giving sponsors a smart and scalable platform for deploying generative AI to enhance decision-making throughout the precision medicine R&D lifecycle. This platform is built on a foundation of high-quality data, because insights mean nothing if you don’t first ensure quality data. QuartzBio’s AI-powered data management tools are tailor-made to streamline data ingestion, QC, and mapping for drug development workflows, helping to improve data quality and reduce errors by leveraging automation to surface data issues to stakeholders.
Layered on these data management tools, the platform contains a suite of business intelligence tools that we call biomarker intelligence tools because they were purpose-built to address the challenges in biomarker-guided drug development. These tools are designed by subject matter experts to improve business agility through data exploration, dashboards, analytics, and reporting.
The QuartzBio Platform
Leveraging AI across the platform makes our data management and business intelligence tools smarter, easier to use and more efficient to configure. To create a true force amplifier and decision accelerator, we’ve built our Agent Intelligence Solution, powered by our secure, personalized Virtual Assistant. This assistant transforms the way users interact with our platform to shorten the time from having a question to receiving easily consumable information. The Virtual Assistant is your personal guide through our platform, allowing you to quickly navigate to the right tool and streamline your data management and business intelligence.
The presentation highlighted four common use cases of the AI Virtual Assistant as applied to QuartzBio’s Sample Intelligence Solution:
Sample monitoring for collection, testing, shipping and storage
Monitoring vendor performance
Tracking clinical trial site performance
Monitoring query trends in real time and surfacing root causes
https://www.quartz.bio/wp-content/uploads/2024/02/QB_Linkedin_Speaker-FollowUp_1200x1200_OCT-Update-A_.jpg12001200QuartzBio Teamhttps://www.quartz.bio/wp-content/uploads/2026/05/2026-QB-Logo_New-Brand-Update_QB-DK-Blue.pngQuartzBio Team2024-02-12 16:41:492026-05-28 12:53:30Tell me what I don’t know: AI-enhanced decisions in biomarker-informed trials
Talk to your data to get fast answers across the entire sample lifecycle
Every day, you are pressed to make decisions based on chaotic, disconnected flows of biospecimen status and consent information.
Learn how conversational AI enables you to talk to your biospecimen data. Ask a question, get an answer, and begin your journey from chaos to insight across the entire biospecimen lifecycle.
https://www.quartz.bio/wp-content/uploads/2023/12/LinkedIn_FEB2024-Webinar_1200x1200_Grey-OCT-Update-1_.jpg12001200QuartzBio Teamhttps://www.quartz.bio/wp-content/uploads/2026/05/2026-QB-Logo_New-Brand-Update_QB-DK-Blue.pngQuartzBio Team2023-12-22 15:32:202026-05-28 12:57:56Webinar On Demand: Taming clinical sample chaos with conversational AI
