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.
ALR Technologies | June 30, 2022
ALR Technologies SG Pte. Ltd the diabetes management company, announces the completion of a definitive manufacturing agreement with Infinovo Medical Co. Ltd to manufacture and supply the Continuous Glucose Monitor hardware that will be utilized as part of the ALRT GluCurve Pet CGM. The Manufacturing Agreement gives ALRT the exclusive global rights to distribute the Infinovo CGM hardware for the animal health market, providing long-term production and supply. Subject to the satisfaction of all closing conditions it is expected that initial deliveries of product by Infinovo will be made during Q4 of 2022
“Executing the Manufacturing Agreement with Infinovo marks another major milestone in our path to commercialization and profitability. Our next targeted milestone is securing distribution for the ALRT GluCurve Pet CGM. We have been working with many of the largest global distributors and pharmaceutical companies in animal health, evaluating different distribution opportunities ranging from joint venture partnerships to sales and distribution agreements. We believe we have narrowed in on the right company and right deal structure to best bring value to our shareholders and to those who care for diabetic pets. We hope to announce the details of this pivotal next step in the near future.”
Sidney Chan, Chairman and CEO of ALRT
The Manufacturing Agreement is subject to certain closing conditions including the completion of a distribution agreement with a third party by July 31, 2022.
About Infinovo Medical Co. Ltd
Founded in 2016, Infinovo is an innovative medical technology company, focusing on developing an accurate and affordable CGM for patients which will be available for both Type 1 and Type 2 Diabetics.
ALR Technologies SG Pte. Ltd.
ALRT is a data management company that developed the ALRT Diabetes Solution, a comprehensive approach to diabetes care that includes an FDA-cleared and HIPAA compliant diabetes management system that collects data directly from blood glucose meters and continuous glucose monitoring devices, and a patent pending Predictive A1C algorithm to track treatment success between lab reports and an FDA-cleared Insulin Dosing Adjustment program. ALRT also offers an algorithm to provide prescribers support for timely non-insulin medication advancements. The overall goal is to optimize diabetes drug therapies to drive improved patient outcomes. The program tracks performance of all clinical activities to ensure best practices are followed. The ALRT Diabetes Solution gives healthcare providers a platform for remote diabetes care, helping to minimize patient exposure to potential infections in clinical settings. Currently, the Company is focused on diabetes and intends to expand its services to cover other chronic diseases anchored on verifiable data.
In addition, the animal health division of ALRT has identified an unmet need in diabetes care and has developed GluCurve; a solution to assist Veterinarian Doctors to determine the efficacy of insulin and to help to identify the appropriate dose and frequency of administration of insulin for companion animals, thereby delivering the same optimization of diabetic drug therapies to pets as to humans.
ALR Technologies SG Pte. Ltd. is controlled by ALR Technologies Inc., a Company with its shares traded on the OTC:QB under the symbol “ALRT”. On May 17, 2022, ALR Technologies Inc. announced an Agreement and Plan of Merger and Reorganization for the sole purpose of changing the Company’s jurisdiction of incorporation from Nevada to Singapore (the “Redomicile Merger Agreement”). The Redomicile Merger Agreement is subject to the required approval of the Company’s stockholders, requisite regulatory approvals, the effectiveness of the registration statement on Form F-4 filed by ALRT related to the Redomicile Merger, and other customary closing conditions. The Redomicile Merger is expected to be completed during the third quarter of 2022. See the Form 8-K filed May 20, 2022, by ALR Technologies Inc. for further information about the Redomicile Merger Agreement.
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.