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Webinar
The Pistoia Alliance is pleased to announce a series of three webinars hosted by Accenture Boston Innovation Hub. As part of our overall theme of Improving the Efficiency and Effectiveness of R&D, each webinar will explore the power of collaboration to solve shared challenges, drive transformation and reduce barriers to innovation in R&D.
Drugs can cause unwanted undesirable effects called adverse reactions, or side effects. In addition to lack of drug efficacy, safety issues caused by these reactions are a major reason for clinical trials to fail. Identifying adverse reactions in preclinical stages can help to reduce the risk associated with drug development and improve patient safety.
The purpose of the data Gov Lab is to create a community to exchange ideas about data governance and share processes and methodologies in order to define best practices of Data Governance within Life Sciences.
Learn how the deployment of simple building blocks can transform your data or compute center into a modern, highly interoperable, hybrid- and multicloud-ready environment for data access and analysis.
This talk will explore methodologies and use cases for Synthetic Patients – ‘digital twins’ of real patients that replicate their behavior to a very high degree. Synthetic Patients enable easy sharing of patient-level data without risk of subject-level or sponsor disclosure while allowing data scientists to mine deep insights on patient characteristics and behavior.
The application of Artificial Intelligence/Machine Learning (AI/ML) methods in drug discovery are maturing and their utility and impact is likely to permeate many aspects of drug discovery. Numerous methods, however, utilize structure-activity relationship (SAR) data without explicit use of 3D structural information of the ligand protein complex.
The FAIRe(nough) benchmark has been developed in AZ with a focus on integration of data products and systems against a specific context or use case. Providing both high- and low-level assessment metrics, the benchmark is an essential enabler for anyone facing a data integration and FAIRification project.
The Lab is the center of innovation but the role and nature of the Lab has changed. These changes are being driven by advances in life science research, technology, and latterly, COVID-19. What are the latest developments in the workspace, facilities planning, and technology? What new innovations including collaborative digitalization can we expect to see in the Lab of Future?
This webinar co-hosted by The Pistoia Alliance and CAS engages a panel of experts to highlight how scientists and research organizations can reduce the risk of adverse chemical safety events in their labs using the Chemical Safety Library
Our speakers, Navdeep Gill (H2O.ai) and Chas Nelson (gliff.ai) present a perspective on trustworthy and responsible AI. They discuss various components that contribute to responsible AI and the new ANSI standard “ANSI/CTA 2090 Use of Artificial Intelligence in Health Care: Trustworthiness" and the ways to implement trustworthy and responsible AI in practice covering the whole AI lifecycle.
This webinar will demonstrate how ontologies are essential to understanding the incoming data deluge for an enterprise & how they help retrieve the most relevant data for R&D efforts.
