2022

 

04/07/2022

Elucidata Webinar: A Data-Centric Platform for Harmonized Biomolecular Data

The biomedical data landscape is fragmented, with isolated data sources and knowledge bases that employ different syntaxes, schemas, entity notations, and metadata standards. Formats vary based on the type of data generated (imaging, sequencing data, documents, EHR, Flow Cytometry, etc.), and data is often inconsistently labeled & devoid of context.

Therefore, despite the availability of data, scientists still face significant logistical and technical challenges when hosting, integrating, & analyzing heterogeneous data collected from a variety of sources. Additionally, these data may require exhaustive computational resources and a unified querying interface for processing and in-depth data exploration.

Elucidata’s Polly is a Data-Centric platform architected to treat data as the continual focus. It manages the entire lifecycle of a biomedical dataset - from ingestion & harmonization, processing & preparing the data for AI/ML and pushing to downstream applications. Polly allows scientists to aggregate data generated from public repositories and proprietary experiments on a centralized Enterprise OmixAtlas, and mine for novel associations from these diverse sources to enhance the quality of their hypotheses. In addition, scientists can leverage the following capabilities of an OmixAtlas on Polly, to enable data-driven research:

  • Model-assisted curation for harmonizing datasets with ontology-backed metadata and ensuring they conform to an in-house data model.

  • An SQL-based programmatic interface that allows complex querying

  • A scalable computational platform to analyze and visualize data.

  • API-based access to stream Ml-Ready data from an OmixAtlas to data warehouses, software, BI tools, etc.

Watch Recording Here

04/05/2022

Xavo Webinar: Request and Sample Management is the Backbone of Industrialized R&D Organizations

With latest trends in Life Sciences and especially Biopharma R&D, Request and Sample Management are becoming the backbone of any industrialized R&D operations. This webinar is looking at the impact of respective market and technology trends and introduces Xavo R3, an integrated Request & Sample Management Software platform that addresses the strategic problem to optimally fulfill changing demand for assays and materials based on available finite lab capacity and material inventory.

There is an accompanying white paper "Request and Sample Management is the Backbone of Industrialized R&D Organizations" which you can download here: xavo.com/white-paper

Watch Recording Here ​​

 

03/24/2022

BISC Global Webinar: Key Challenges of Data-centric QSP and ML/AI: Scope of Problems, When and How

The following talks are going to do a deep dive in PK/PD, Quantitative Systems Pharmacology, and AI/ML!!

Talk 1: 14:10 – 14:50 (ET), Presentation 30 min, Q&A 10 min
“Typical PK/PD data and translational modeling”
Dr. Michael Monine (Biogen)

Talk 2: 14:50 – 15:30 (ET), Presentation 30 min, Q&A 10 min
“Big Data-Enabled, Biomarker-Based, AI/ML-Guided Quantitative Systems Pharmacology Models for Pharmacometrics”
Prof. Murali Ramanathan (University at Buffalo)

Talk 3: 15:30 – 16:10 (ET), Presentation 30 min, Q&A 10 min
“The use of AI-driven platform for prediction of drug pharmacokinetics following transdermal administration”
Dr. Maksim Khotimchenko (VeriSIM Life Inc)

Talk 4: 16:10 – 16:50 (ET), Presentation 30 min, Q&A 10 min
“AI/ML for Reverse Engineering: application to polypharmacology and deconvolution of signaling pathways”
Dr. Alexander Lukyanov (BISC Global)

Panel discussion: 17:20 – 17:40 (ET)
Moderator: John Conway, CEO, 20/15 Visioneers

Watch Recording Here

03/08/22-03/09/22

World's First Microbiome & Multi-Omics Virtual Conference

Day 1: March 8th, 2022 [Morning]

Watch Recording Here

Day 1: March 8th, 2022 [Afternoon]

Watch Recording Here

Day 2: March 9th, 2022 [Morning & Afternoon]

Watch Recording Here

02/24/222022

Materials Science MEGA Webinar​

The Mega Materials Science Webinar is all about highlighting all of the great Material Science Informatics and Modeling/Simulation that's going on in the World! Material Sciences has the great promise of benefitting from the proper scientific informatics and in silico approaches. 

 

Come hear how the following companies are making a difference to the world of Material Science! BIOVIA (www.biovia.com), BISC Global (www.biscglobal.com), Citrine Informatics (www.citrine.io), Dotmatics (www.dotmatics.com), Perkin Elmer Informatics (https://perkinelmerinformatics.com/) and Uncountable (www.uncountable.com)

 

PRESENTATIONS:

 

Dr. Alexander Lukyanov: Scientific Director - BISC Global

Talk Title: "An application of digital twin concept and machine learning to the prediction of the effect of orientation on the shock response of an anisotropic composite materials and metals" 

 

Abstract 

An application of digital twin concept and machine learning to construct constitutive relationships for modeling of shock wave propagation in orthotropic composite materials is proposed for nonlinear explicit meshless transient large deformation computer codes (hydrocodes). An anisotropic equation of state (EOS) is used for the accurate extrapolation of high-pressure shock Hugoniot (anisotropic and isotropic) states to other thermodynamic (anisotropic and isotropic) states for a shocked carbon-fiber epoxy composite (CFC) of any symmetry. Using an anisotropic nonlinear continuum framework, generalized decomposition of a stress tensor, digital twin concept and machine learning, the shock waves propagation in CFC materials is modelled using meshless hydrocode. The developed framework can be used to optimize the development of composite materials structure. It can be used to view the status of the composite materials under impact loading conditions, which provides a way to project physical properties into the digital world. 

 

 

Will Tashman: Chief Revenue Officer - Uncountable

Talk Title: "How a Collaborative R&D Platform can replace spreadsheets and traditional LIMS solutions"

Abstract
While many organizations want to centralize their data and make better use of modern techniques like artificial intelligence & machine learning, it is still a struggle to move scientists off their formulating tool of choice - the spreadsheet. While spreadsheets are an amazing invention and easy to use, they are often unique for each individual or team within a company, prevent true collaboration, and lead to machine learning problems due to data quality & quantity concerns.

In this webinar, Uncountable’s Chief Revenue Officer Will Tashman will discuss the barriers to moving scientists off of spreadsheets, where traditional ELN and LIMS systems have fallen short in this goal, and the benefits of moving to a truly collaborative platform. Will leads customer relationships for Uncountable's platform, which is trusted by industry leaders like Cabot Corporation, Carbon, Beiersdorf and Behr Paint.

 

 

Greg Mulholland: CEO - Citrine Informatics

Talk Title: The Business and Scientific Value of AI-Guided Product Development

 

Abstract

Artificial Intelligence has valuable and promising applications in materials and chemicals product development; from supply chain and regulatory resilience, to improved customer responsiveness, to accelerated product development. However, materials and chemicals data is often sparse, noisy, and complex. In this webinar, Citrine Informatics’s CEO Greg Mulholland will share how the Citrine Platform helps materials and chemicals companies overcome these challenges and share some customer successes with AI-guided product development.  

 

Ben Bracke: Executive Director Product Marketing & David Gosalvez: Director, Cheminformatics Product Portfolio- PerkinElmer Informatics

Talk Title: Accelerating Materials Science Research Via Next-generation Data Management and Analytics

 

Abstract

Learn how the PerkinElmer Signals Platform can accelerate research and shorten product delivery by streamlining research data capture and integrating advanced analytics.  This presentation will highlight the flexibility and ease of use of the cloud-based Signals Notebook, in combination with the power of Signals Inventa visual and predictive analytics.

 

Max Petersen:  AVP, Chemicals & Materials Marketing - Dotmatics 

Talk Title: From Instruments to Insights: A Platform Approach to Lab Data Automation

 

Abstract

The ability to deliver innovative products to the marketplace is at the core of many chemicals and materials companies. One of the main obstacles in doing so are high R&D cost and long development timelines. As a promising solution, data-driven R&D has made its way on executive agendas. At the same time, the underlying IT infrastructure required to provision R&D data to these data-modeling initiatives is often overlooked and/or under resourced. Consequently, many initiatives that aim at implementing data-driven R&D are facing data accessibility challenges, including insufficient data quality, lack of data contextualization or incomplete data sets because of poor system adoption.     

 

The solution to this problem is a uniform platform approach that can directly ingest data from their point of creation and serve up these data to lab managers, scientists, or directly to data modeling tools. This approach is a departure from traditional R&D IT infrastructure designs, as it avoids compartmentalizing data in silos e.g., in LIMS, ELN, or SDMS databases. This is especially important for materials innovation, as workflows are highly variable and generated by scientists from multiple disciplines, leading to data aggregation and curation issues across data silos.     

 

Our unified, data-driven platform that allows for flexible configuration of workflows and roles that naturally contextualizes R&D data. This is paired with a set of scientific data intelligence capabilities, that spans data querying across inhomogeneous data sources, data analytics, and advanced scientific data visualization applications. The platform can operate in conjunction with other IT systems and data sources or as a standalone system that includes lab digitalization. This presentation reviews the general aspects of this approach and discusses various customer scenarios of digitalization efforts in the chemicals and materials space.   

 

Stephen Todd: Senior Strategy Specialist, Materials Science - BIOVIA

Talk Title: Accelerating R&D through Democratized Materials Modelling and Platform Collaboration

 

 

Watch Recording Here

02/03/2022

TetraScience: Why Biopharma Is Replatforming to The Cloud; Industry Survey

The 2022 State of Digital Lab Transformation in Biopharma Survey results indicate a strong case to replatform scientific data to the cloud  — with many industry leaders identifying the move as critical in order to improve scientific outcomes and accelerate discovery.

Join this webinar for insights into a critical initiative gaining momentum in biopharma, considerations that need to be considered when replatforming, and how improved, cloud-based data management enables biopharma organizations to:
 

  • Speed lab digitization initiatives and digital data strategies

  • Provide FAIR data to accelerate research and scientific outcomes

  • Adapt to continuously evolving business needs


Speakers:

  • Mike Tarselli, Ph.D., Chief Scientific Officer, TetraScience

  • Peter Henstock, Machine Learning & AI Technical Lead, Pfizer

  • Marshall Brickeen, Global Life Sciences Lead, AWS Marketplace

 

Watch Recording Here

01/26/2022

Zifo Mega LIMS Webinar Series #7: Change Management – What if I Do – What if I Don’t - Do it! Experience and Knowledge from Global and Local LIMS Projects

Zifo R&D Solutions and 20/15 Visioneers are announcing the Live Mega LIMS Webinar Series for 2021. In this approximately 14 webinar series we will bring you a highly educational overview webinar followed by topic-driven LIMS webinars.

Watch Recording Here

01/11/2022

Elucidata Webinar: Curating Biomedical Molecular Data

Biomedical molecular data is sourced from fragmented public sources as well as proprietary experiments, this makes staying on top of all relevant data hard. Additionally processing and harmonizing data is a challenge, this further impedes the use and utility of this data.

Elucidata enables R&D teams to work with ML-ready data. Elucidata's Curation-on-demand is an end-to-end solution for teams that want to leverage data to accelerate discovery

  • Aggregating data from fragmented sources

  • Processing and structuring data into an Enterprise Atlas

  • Curating metadata

  • Providing programmatic access

Watch Recording Here