Replica Analytics | June 30, 2022
Critical Path Institute and Replica Analytics, an Aetion company, announced a new partnership that involves leveraging synthetic data to further catalyze the generation of actionable solutions to accelerate drug development for rare diseases.
Replica Analytics will help generate synthetic datasets across rare and orphan indications in which patient-level datasets are often quite small, which heightens considerations regarding data privacy and accessibility.
Together with real data, these synthetic data will help maximize the utility of C-Path's Rare Disease Cures Accelerator-Data and Analytics Platform which provides a centralized and standardized infrastructure to support and accelerate rare disease characterization targeted to accelerate drug development. Additionally, the platform includes a framework that supports the rigorous conduct of natural history studies, with attention to established data quality standards, to be most useful to clinical trial design and regulatory review. It includes a robust, integrated database and analytics hub that allows for the aggregation of rare disease data from various sources and the efficient and effective interrogation of that data. Once added to RDCA-DAP, the synthetic data will also represent valuable real-world, electronic health record (EHR) based data available on the platform, opening doors to modeling and research based on longitudinal focused analyses.
"Our collaboration with Replica Analytics is important because synthetic data can add value to real-world data while observing data privacy considerations, which will help accelerate overall rare disease drug development. The goal of RDCA-DAP is to provide a centralized and standardized infrastructure to support and accelerate rare disease characterization and therapy development, this collaboration is in line with our efforts."
RDCA-DAP Scientific Director Alexandre Betourne, Pharm.D., Ph.D
Synthetic data generation is a privacy enhancing technology that has been gaining rapid adoption, particularly in the life sciences sector. SDG uses AI to create machine learning models that learn the statistical patterns and properties of real datasets to generate data that retain the same characteristics as the original dataset, but with no one-to-one mapping back to an identifiable person. SDG can help amplify small datasets, simulate virtual patients to augment patients in existing datasets, and optimize the design of small sample clinical trials.
"We are certainly seeing a growing opportunity to partner with organizations like C-Path for generating datasets that are fit-for-purpose," says Khaled El Emam, Ph.D., SVP and GM of Replica Analytics. "Synthetic data, which preserves the integrity and utility of source data, as well as being privacy-protective, can be a very valuable tool to enable this collaboration."
In May 2022, C-Path hosted a webinar in which the Replica Analytics team introduced SDG and discussed the role the technology can play in researching and treating rare diseases. The event was recorded and can be viewed on C-Path's YouTube channel.
Critical Path Institute is an independent, non-profit organization established in 2005 as a public and private partnership. C-Path's mission is to catalyze the development of new approaches that advance medical innovation and regulatory science, accelerating the path to a healthier world. An international leader in forming collaborations, C-Path has established numerous global consortia that currently include more than 1,600 scientists from government and regulatory agencies, academia, patient organizations, disease foundations, and hundreds of pharmaceutical and biotech companies. C-Path U.S. is headquartered in Tucson, Arizona, C-Path in Europe is headquartered in Amsterdam, Netherlands and C-Path Ltd. operates from Dublin, Ireland with additional staff in multiple other locations.
Critical Path Institute is supported by the Food and Drug Administration of the U.S. Department of Health and Human Services and is 54.2% funded by the FDA/HHS, totaling $13,239,950, and 45.8% funded by non-government sources, totaling $11,196,634. The contents are those by the author(s) and do not necessarily represent the official views of, nor an endorsement by, FDA/HHS or the U.S. Government.
About Replica Analytics, an Aetion company
Replica Analytics is the premier science-based SDG technology provider to the healthcare industry. The company a pioneer in the development of unique technologies for generating privacy-protective synthetic data that maintain the statistical properties of real-world data. The company was acquired in late 2021 by Aetion, the leading regulatory-grade real-world evidence technology provider. Replica Synthesis software provides a full suite of synthetic data generation and evaluation capabilities that can solve multiple grand challenges facing the life sciences industry, and health research in general.
Aetion is a healthcare analytics company that delivers real-world evidence for the manufacturers, purchasers, and regulators of medical treatments and technologies. The Aetion Evidence Platform® analyzes data from the real world to produce transparent, rapid, and scientifically validated answers on safety, effectiveness, and value. Founded by Harvard Medical School faculty members with decades of experience in epidemiology and health outcomes research, Aetion informs healthcare's most critical decisions—what works best, for whom, and when—to guide product development, commercialization, and payment innovation.
Simulations Plus, Inc. | July 04, 2022
Simulations Plus, Inc. a leading provider of modeling and simulation software and services for pharmaceutical safety and efficacy, today announced record-setting attendance and virtual content delivery for the 2022 Pharmacometrics Spring School using MonolixSuite™. New for 2022 was the introduction of the “NCA, bioequivalence, and beyond! Spring School” course using PKanalix™. Both workshops were held in March 2022.
This year’s Spring Schools focused on population modeling for model-informed drug development and simulations of clinical trials using the MonolixSuite, and the analysis of PK data using non-compartmental analysis and bioequivalence calculations using the PKanalix platform. These courses, which were free to the pharmacometrics community, comprised both theoretical discussions and hands-on sessions.
In total, there were 936 attendees from over 50 countries. The attendees were industry professionals from regulatory agencies, pharma companies, biotech, and CROs, as well as students and doctoral/postdoctoral researchers, with different backgrounds, who used the skills taught in these courses to make their modeling and simulation work more powerful and efficient.
“The positive feedback and momentum from our first Spring School in 2021 carried forward to this year’s program, further substantiating the need to provide the pharmacometrics community with quality material and training. As a leader in providing modeling and simulation (M&S) software tools and services to support the industry and our clients in their efforts to leverage M&S for more efficient drug development, we were very pleased by the strong interest and support from the user community, and we look forward to offering our pharmacometrics workshops again in 2023.”
Dr. Jonathan Chauvin, President of the Lixoft division at Simulations Plus
About Simulations Plus
Serving clients worldwide for 25 years, Simulations Plus is a leading provider in the biosimulation market providing software and consulting services supporting drug discovery, development, research, and regulatory submissions. We offer solutions that bridge machine learning, physiologically based pharmacokinetics, quantitative systems pharmacology/toxicology, and population PK/PD modeling approaches. Our technology is licensed and applied by major pharmaceutical, biotechnology, and regulatory agencies worldwide.
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Iktos, | June 29, 2022
Iktos, a company specialized in Artificial Intelligence for new drug design, announced a collaboration with Galapagos, a leading global biopharmaceutical company focused on the discovery, development and commercialization of innovative medicines, to apply Iktos’s generative modelling artificial intelligence (AI) technology in one of Galapagos drug discovery programs. Under the agreement, Iktos will apply its de novo ligand and structure-based generative modelling technologies and software Makya™, its AI-based retrosynthesis analysis and planning tool Spaya™, and its know-how in computational drug design to expedite the identification of potential pre-clinical candidates and to identify additional novel chemical matter with suitable properties. Galapagos scientists will benefit from direct access to Makya™ and Spaya™ as part of the collaboration.
Iktos’s AI technology, based on deep generative models, helps to bring new insights and directions into the drug discovery process based on a comprehensive data-driven chemical structure generation technology. This technology automatically designs virtual novel molecules with all of the characteristics of a successful drug molecule. This approach, validated through multiple collaborations, is a novel solution to one of the key challenges in drug design: rapid identification of molecules that simultaneously satisfy multiple parameters, such as potency, selectivity, safety, and project-specific properties. This approach uniquely enables the exploration of chemical space and produces innovative molecule designs with greater freedom to operate. Iktos has also diversified its R&D efforts into the development of an AI technology for retrosynthesis and has developed the AI-based retrosynthesis analysis and planning tool Spaya™ enabling systematic exploration and prioritisation of synthetic routes for a desired compound in minutes.
“We are thrilled and proud to join forces with Galapagos with the aim to discover optimised lead compounds for one of Galapagos undisclosed small molecule drug discovery projects. Pleased to have earned Galapagos trust, we are confident that together with Galapagos established R&D team, we will be able to identify promising novel chemical matter and solve complex multiparametric optimisation problems. The insights and feedback from Galapagos research team will be highly valuable to guide us into improving our technology and products.”
Yann Gaston-Mathé, President and CEO of Iktos
Incorporated in October 2016, Iktos is a French start-up company specialized in the development of artificial intelligence solutions applied to chemical research, more specifically medicinal chemistry and new drug design. Iktos is developing a proprietary and innovative solution based on deep learning generative models, which enables, using existing data, to design molecules that are optimized in silico to meet all the success criteria of a small molecule discovery project. The use of Iktos technology enables major productivity gains in upstream pharmaceutical R&D. Iktos offers its technology both as professional services and as a SaaS software platform, Makya™. Iktos is also developing Spaya™, a synthesis planning software based upon Iktos’s proprietary AI technology for retrosynthesis.