Janssen’s HIV Drug Symtuza Shows Long-Term Effect in Late Stage Trial

JANSSEN PHARMACEUTICAL COMPANIES | April 11, 2019 | 166 views

Less than one year ago, Janssen’s Symtuza got the green light from U.S. regulators as a treatment for HIV-1. This morning, the company presented new data that the medication provided sustained treatment through 48 weeks. At the 13th Annual American Conference for the Treatment of HIV in Miami, Janssen said data from a 48-week study of Symtuza showed HIV patients achieved an undetectable viral load. Additionally, a secondary endpoint of the Phase III DIAMOND study showed that 97 percent of patients revealed they were satisfied with the treatment, Janssen said.

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Why Is Diversity of Thought Essential for Developing a Winning Strategy?

Article | April 20, 2021

In developing or evolving a strategy, there are key decision moments. Those are the moments where you are deciding where you need to focus, what you need to excel at to win there, and where and how to allocate resources to get to a point in the future. At these moments, it is the contest of ideas that matters. Having choices matters. Having a cross-functional team participating in the development of strategy is one way of ensuring that you are going to be more successful at generating choices before you start making choices. What Is a Cross-functional Team? A cross-functional team is a collection of individuals with varied skillsets from different areas of a business collaborating to achieve a common goal. Why Are Cross-functional Teams Essential for Business Success? Having this diverse set of minds analysing the situation, considering the big picture and the organisation’s capabilities, and the needs of all stakeholders, inspires teams to think about the choices they have differently and more creatively. For example, in a pharmaceutical setting, the medical affairs team brings knowledge of the data, unmet needs, and insight into clinical practice. Access and reimbursement teams identify the right data and take the lead in building that value story to accelerate market access and product uptake. It is incumbent upon commercial to hear their ideas, obtain their perspective and secure their alignment to all strategy decisions. Cross-functional collaboration can help break down silos. Research suggests that working in silos and not sharing data with team members from other departments can cost a company close to $8,000 per day in wasteful expenses. Time is widely recognised as a scarce resource: we need quick access to accurate and real-time insights to make effective business decisions. Real time insight will come from those closest to the customer, so it is important for cross-functional members from different geographies to participate in the development of strategy. Improved insight is a source of sustainable competitive advantage. One single version of the truth is what is required for the right narrative to take place. The right narrative will lead to the right decisions. One single version of the truth is more easily achieved by cross-functional team members working closely together. Better Innovation & Creativity: Individuals with diverse skillsets often explore a problem in different ways. When different people working in different capacities come together, they think outside the box to significantly improve outcomes. It is a great way to come up with concepts that distinguish companies from their competitors. Achieving alignment with strategy across functions and geographies: Today, businesses are moving faster than ever and organisations are seeing possible competitors in areas they never knew existed before. With so much choice about where to focus, you really want your workforce to align around one strategy. Underperformance is inevitable if everybody is off working in ten different directions. Improving the customer experience: Creating an effective customer experience is about more than just ensuring your customers receive the products and services they desire in a timely and efficient manner. It’s also about creating touchpoints with real people who can organically evangelise and grow your brand through their social media and offline interactions with friends and family. Your customers are engaging with multiple communication channels– official websites, social platforms, virtual platforms, medical science liaisons, sales reps, and more. Everyone needs to be aware of, and understand, the moments that matter to your customer and the business along that customer journey and how they contribute to delivering that positive experience. This is more likely to be achieved with a cross-functional approach to strategy development. Business Agility: Cross-functional teams are typically small, adaptable, and flexible. Such teams can move faster as they don’t have to wait and rely on other departments or external sources. They can help in tackling any silo mentality and bridge gaps between team members. They can come together to consider new information and/or changes to adapt the strategy if necessary and/or react to any setbacks immediately. They are better placed to make decisions when problem-solving amidst uncertainty. In summary, the rapidly changing environment and new information requires medical affairs, along with access and reimbursement and commercial, to work together, to ensure that patient’s benefit from the value of new innovative therapies. Companies stand a better chance of creating a winning strategy if it is created by a cross-functional and geographically diverse team. With every team member bringing their abilities and knowledge to the table, the strategy over time can only move from strength to strength. However, if not supported correctly, a cross-functional team working on strategy can be dysfunctional and chaotic, and result in a laborious and time-consuming approach to strategy development. Digital strategy platforms such as Nmblr offer an inclusive and structured process to facilitate a strategy discussion and allow people to bring forward ideas. They do this by: working against silos – the structure provided, levels the playing field. The guidance provided equips people from different disciplines to contribute to the conversation.

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Modern Phenotypic Drug Discovery

Article | September 13, 2019

Nature Reviews Drug Discovery makes these points well. It goes over historical and recent successes of the phenotypic approach, and discusses some areas that it's opening up for discussion and research. One of these is the long-vexed question of polypharmacology: what do you do when your active compound doesn't seem to have a single target, but rather hits a whole list of stuff at varying degrees of potency? Seen from a pure target-based viewpoint, this is a failure, and you'd better start working on something else. But to be honest, there are a lot of drugs out there (and not all of them ancient legacy compounds by any means) that work this way, even if their developers didn't think so at the time. So it's not to be disparaged on principle, but that said, it's still a difficult area to make progress in because of all the variables. A good enough phenotypic hit, though, makes its own case that it's worthy of further investigation and development, even if it's not "clean" by rigorous target-based standards. But as always, your phenotypic screen had better be a good one. That is, it had really better model the human disease in a useful way, and have a good signal/noise. The authors note that you're much better off with assays that involve a gain-of-function/gain-of-signal readout, as opposed to ones that could read out just through cellular stress or cytotoxicity, which is an invitation to chase your tail. Another area the paper brings up is searching lower-molecular-weight compounds than are usually screened, down to fragment-sized. There are quite a few useful drugs out there with really low molecular weights - ibuprofen, aspirin, metformin, dimethyl fumarate, lacosamide and more - and any screening program would be happy to have discovered something as useful as those. As the authors note, hits like these in phenotypic screens might be another case of polypharmacology, or they might be hitting pathways whose "tone" we have not understood well (and for which micromolar inhibitors might work out just fine). At any rate, there might be an opportunity for fragment phenotypic screening, and even of covalent fragments (which will call for even more attention to the validity of the underlying screening model, I'd say). The paper discusses the question of target ID, which for most phenotypic programs feels like a natural progression. Most of us are innately biased towards thinking in terms of drug targets, so when a phenotypic compound emerges we want to know what it's "really" doing. And most of the time, there is such a target in there somewhere, although finding it can be quite a haul. I know of several compounds that have been kicking around for years that are obviously doing something in the assays, but no one has ever been able to pin down quite what that is! This paper makes the case for getting out of a binary mindset for target identification. They point out, correctly, that target ID is a means to an end, and that you do not actually need to identify your target to go on to clinical trials and go to the FDA for approval. I always find it surprising to find how many people are surprised by that, but it's true. You also need to realize that knowing a target may not tell you nearly as much as you would want about a compound's mechanism of action, if your new target lands in the middle of a bunch of not-well-worked-out biology. There's a good case to be made that modern chemical biology and imaging techniques have made it easier to progress things, even if you're not quite sure how they're working. We can extract huge amounts of information about the cellular effects of a given compound, and if you do a good job of matching this against a closely related structure that's phenotypically inactive, you can make a lot of headway. This doesn't mean that you shouldn't bother trying to find the target - as mentioned, this is a great way to expand the knowledge of the underlying disease, and can lead to other new programs spinning off of the phenotypic effort. But it does mean that you shouldn't freeze in fear if you don't have a target to point to. The FDA wants to see safety and efficacy, and that's what we should want to see, too, for starters. But as the paper notes at the end, phenotypic screening is going to advance at the pace of good model development. Many of these same chem-bio tools can be brought to bear on this question as well, along with advances in cell culture, organoids, and other new assay technologies. You're not going to be able (realistically) to recapitulate all the features of a human disease, so you will probably find yourself concentrating on certain features that you can make the case for driving a project on. I was very happy to see this paper reference Jack Scannell's paper on translatability (blogged about here), because its point is crucial to the whole phenotypic screening endeavour. If your underlying assay is flawed, there is nothing you can do in any other part of the project to make up for it. A poorly translatable assay is a sign that you should spend your time trying to fix it, or to go do something entirely different instead. It is not a sign that you should just keep on going, because "it's the best thing we've got". If it isn't good enough, it isn't good enough. I don't get to quote A. E. Houseman much around here, but he's right: "The toil of all that be. Helps not the primal fault; It rains into the sea. And still the sea is salt." If you don't fix your assay up front, you are raining into the sea.

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Tips for Managing Chronic Pain Beyond Prescription Painkillers

Article | August 18, 2021

Painkillers like Oxycontin, Percocet, and Vicodin, have been prescribed by primary physicians, surgeons, dentists, and other healthcare providers to patients suffering from varying levels of pain. Though these medications have proven to be an effective source of pain relief, they have also proven to be highly addictive. In fact, it has even been reported that there are more cases of a drug overdose and deaths from prescription painkillers than heroin or cocaine. While there are a number of factors that play into this opioid epidemic, educating doctors and patients on alternative solutions to managing chronic pain is a great place to start combatting this nationwide crisis.

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What are the advantages of PCD Pharma Company?

Article | February 17, 2020

PCD Pharma stands for propaganda distribution. A PCD company gives brand name and support to its franchises. They also provide distribution rights and monopoly rights within a particular region. If a person wants to establish their business, it is a must for them to know the pros and cons of the business to make a sound decision. Needless to mention that PCD company has a lot to contribute in the medical filed. Worldwide in a medical field, A PCD Pharma Company is playing an essential and crucial role in the rapid growth. The pharma industry is progressing t a fast pace. The company uses the latest technologies for each brand which ensures the safety of products and accepts the responsibility of human health & life by providing better outcomes. To have a drug license number and company registration, the cost to establish the company is quite cost-effective that is15000-20000rs. So this gives people a brilliant opportunity to have their unit without digging a big hole in their bank balance. Indian produces exquisite quality products, which make pharma companies a considerable success.

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The American College of Clinical Pharmacy (ACCP) is a professional and scientific society that provides leadership, education, advocacy, and resources enabling clinical pharmacists to achieve excellence in practice and research.

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C-Path and Replica Analytics Collaboration Aims to Accelerate Rare Disease Research

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. About C-Path 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. About Aetion 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.

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BUSINESS INSIGHTS

ALR Technologies Completes Definitive Manufacturing Agreement with Infinovo Medical for the GluCurve Pet CGM Hardware

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.

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BUSINESS INSIGHTS

Iktos Announces Collaboration With Galapagos in AI For Drug Design

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 About 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.

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BUSINESS INSIGHTS

C-Path and Replica Analytics Collaboration Aims to Accelerate Rare Disease Research

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. About C-Path 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. About Aetion 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.

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BUSINESS INSIGHTS

ALR Technologies Completes Definitive Manufacturing Agreement with Infinovo Medical for the GluCurve Pet CGM Hardware

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.

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BUSINESS INSIGHTS

Iktos Announces Collaboration With Galapagos in AI For Drug Design

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 About 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.

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