Join us for an insightful webinar where we explore the critical steps and strategies for successfully implementing AI and Machine Learning (ML) in research and scientific organizations. Discover how to ensure data readiness, select the right problems for AI applications, build and validate AI models, leverage existing systems and data, and overcome common challenges in AI adoption. Learn how strategic outsourced resources can support your organization throughout this transformative journey.

What you will learn:

• Practical insights into implementing AI and ML in research and scientific settings.
• Best practices for ensuring data readiness and selecting impactful AI projects.
• Understanding the importance of interdisciplinary collaboration in building and validating AI models.
• Strategies for leveraging existing systems and data to maximize AI benefits.
• Explore solutions to common challenges in AI adoption with outsourced consulting support.

The post On Demand Webinar – Implementing AI and Machine Learning in Research and Scientific Organizations appeared first on Astrix.

Presented by: Sriharsha Chigurupati – Head of Engineering, Slickbit & Gayatri Tadinada – Lifesciences Consultant, Slickbit

Overview

The largest stakeholder in the Life Sciences ecosystem is the patient. It is our continuous endeavour to design services keeping them at the centre. With the latest advancements in technology we are at an opportune time to rethink our processes enabling the medicines to reach patients faster in a safe and effective manner.

Through this webinar, we would like to walk you through what technology can offer today and how it frees up lot of your time and productivity to think ‘What’s best for the patient’

Key Takeaways

• Basics of AI terminology: Breaking down the definitions
• Pace of software development before and after the AI boom
• Different forms of LLMs and how can they be useful for Lifesciences
• Democratization of AI services to build MVP applications for Lifesciences
• Addressing concerns about data privacy, security, and potential bias in AI algorithms.

The post On Demand AI Webinar – In the world of AI Think Patient Not Technology appeared first on Astrix.

The shift to structured content and data has been a long-term objective for regulatory agencies and the Biopharma industry. However, progress has been hampered by a lack of open and broadly adopted industry standards and tools. While the Electronic Common Technical Document (eCTD) is a widely adopted standard for regulatory submissions, it only uses XML as the structural backbone for the submissions package and to handle metadata, the content itself is still largely made up of unstructured documents. However, there is a commonly used standard for exchanging health information that is being adopted that could change the landscape over the next several years: FHIR (Fast Healthcare Interoperability Resources) is a widely used application programming interface (API) focused standard used to represent and exchange health information maintained by the standards development organization HL7 (Health Level 7). There are several important Pharma initiatives that are already based on FHIR: the EMA ePI Labeling standard, the FDA PQ/CMC initiative, and the ICH M11 Protocol template initiative, with others to follow.

In this webinar, we will explore

• What is the FHIR standard?
• The transformational potential of FHIR
• How will legacy regulatory systems and processes adopt FHIR?
• What about legacy content formats? The opportunity for coexistence.

The post On Demand Webinar – Data driven content – FHIR and the future of Regulatory Submissions appeared first on Astrix.

Presented by: Attilio D’Angelo, Pharma Business Development Director, Eusoft & Anusshka Raveendran, Account Executive, Eusoft

Overview

Pharmaceutical laboratories are navigating an increasingly complex digital landscape: they must handle vast data flows, integrate hybrid operational systems (manual and digital), and connect a wide range of laboratory tools. Ensuring data integrity, regulatory compliance, and operational efficiency is the new challenge for industry professionals. In our webinar, we’ll explore innovative strategies to enhance pharmaceutical lab efficiency through the implementation of an advanced, compliant LIMS (Laboratory Information Management System), based on the latest cloud computing and artificial intelligence technologies.

Key takeaways

• Data Integrity and Security: discover how to preserve your lab’s data integrity and security in an increasingly complex digital environment.
• Compliance with CFR 21 Part 11: learn how to effortlessly meet regulatory standards with a comprehensive LIMS solution.
• Service Enhancement: explore strategies to optimize service levels and operational efficiency in your laboratory.
• AI and Cloud Computing: unlock the transformative potential of integrating AI and Cloud technologies into your pharmaceutical lab. Don’t miss the opportunity to revolutionize your pharmaceutical lab operations. Join us and take the first step towards a more efficient and compliant laboratory.

The post Digital Transformation in the Pharmaceutical Lab: how to be SLIM with an AI and cloud-based LIMS. appeared first on Astrix.

In this webinar, we will explore the usage of Waters NuGenesis LMS as a platform to manage laboratory operations, exploring the pros and cons of this platform when compared to market-standard options such as a LIMS.

We will discuss when it make sense to leverage NuGenesis LMS capabilities, and the most common scenarios in which this platform is implemented with some case studies for demonstration.

Key takeaways

• Benefits of using NuGenesis LMS as a lab management system
• Comparison between LMS and LIMS capabilities
• Integration capabilities
• Case study demonstration

The post On Demand Webinar – NuGenesis LMS – A Guide to Innovative Benefits and Proven Tactics for Conquering Lab Challenges appeared first on Astrix.

Research data from one or multiple lab data systems needs to be accessible for secondary analysis based on all information in a company. ZONTAL can continuously synchronize experiment data into a vendor neutral FAIR data layer without compromising integrity, audit trails, and retention policies. ELNs can also be decommissioned for a variety of reasons:

• Technological Obsolescence
• Vendor Discontinuation
• Mergers and Acquisitions
• Changing Business Needs

However, with ZONTAL the entire experiment information including the result data and links to other business systems remain accessible.
In this webinar, we will explore:

• A case study of a successful ELN decommissioning of +10 years of experiments
• A standardized approach to continuous consolidation of multiple LIMS systems
• A new way to deliver the interoperable Allotrope use case

The post On Demand Webinar – Laboratory Data Systems Consolidation appeared first on Astrix.

In this webinar, we will explore the benefit of LIMS to most pharmaceutical manufacturers has largely been for compliance support. Whilst this is largely the case the standard now requires a fully electronic solution, with more automation and better data.

In this webinar we will show what this solution typically looks like and how pharmaceutical manufacturers should plan for its implementation.

Key takeaways:

• The Business Requirement and Technology(s) Selection
• Validation Considerations and Planning
• Data Organization Practice
• Solution Integration and making Data Available for Analytics
• The Project Plan and Phasing its Implementation

The post On Demand Webinar – Selecting and Implementing a LIMS for a Pharma QC Laboratory appeared first on Astrix.

Understanding these gaps and effectively implementing new approaches are critical challenges the industry must address while adhering to regulatory requirements.

This webinar will provide valuable insights into:

• The FDA’s Decentralized Clinical Trials (DCT), Digital Health technologies for Remote Data Acquisition & ICH E6 (R3) draft guidance recommendations
• Opportunities presented by the guidance
• Challenges in implementation and gaps in the guidance
• Ways organizations can move forward implementing new approaches under the guidance

The post On Demand Webinar – Decentralized Clinical Trials and Digital Health Navigating the Opportunities and Challenges appeared first on Astrix.

Data access, aggregation, and analysis drive R&D decision-making process. It’s not just about answering a hypothesis; it’s also about determining the next one. The challenge arises in ensuring that the right information is surfaced to the right people at the right time. Relying on disconnected informatics systems, however, has often resulted in critical decisions being made with insufficient information, particularly if that information lives in unstructured data sources such as lab notebooks or conference presentations. The utilization of artificial intelligence (AI) expands the pool of information researchers can leverage either by finding compounds or other entities in unstructured files or predicting their various biophysical and biochemical properties prior to testing in the lab. Looking to the future, AI even has the potential to suggest new compounds for researchers to test based on their previous work.

Attendees of this webinar should expect to learn:

• Why recent advances in Large Language Models are particularly appealing to pharmaceutical R&D
• How AI extracts needed insights and data from unstructured data sources to guide drug candidate selection
• How to accelerate lead identification with AI-driven property prediction
• Best practices for determining how to utilize AI in your organization’s R&D strategy

The post On Demand Webinar – On Demand Webinar – Learning What You Know Practical Applications of AI in Pharmaceutical R&D appeared first on Astrix.

Global health authorities will move away from unstructured submissions and toward a structured format for data and content. Using structured data from source to submission eliminates manual transcription, aggregation, and data table creation. This reduces resource needs, reduces errors, accelerates filing readiness, and supports initiatives like the ISPE Pharma 4.0 initiative to provide structured data using digitalization and automation.

In this webinar, we will discuss:

• Enabling structured submissions with structured data
• Automating data table generation to reduce resource needs
• Integrating end-to-end workflow of data from source to submission
• Managing the large data sets of Module 3
• Supporting Pharma 4.0 unified data model

The post On Demand Webinar – Generating and managing structured, reusable data tables for data driven submissions appeared first on Astrix.

With the explosion of generative AI and the emergence of LLMs over the last year, what are the ramifications across the clinical document landscape? Increasingly, life sciences firms are leveraging content automation solutions to maximize the efficiency, accuracy, and standardization of reporting and writing processes.

In this session, Tim Martin, Executive VP of Product at Yseop, will dive into where artificial intelligence fits into the clinical document landscape and how new drugs will be discovered using generative AI techniques over the upcoming years. He will map out:

• The benefits of deploying generative AI and natural language generation (NLG) to automate reporting for improved clinical writing.
• Why generative AI promises to reduce costs and accelerate time to market in drug discovery.
• Results from pharmaceutical companies that have implemented this technology.

About Yseop

Yseop is an international AI software corporation that specializing in developing natural language generation (NLG) technology. Its primary enterprise software platform, Yseop Copilot, aids premier life science organizations worldwide in accelerating the automation of data analysis and report generation, bringing drugs to market faster.

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