Top 9 Technology Trends That Will Transform “Medicine And Healthcare” In 2020

IDA TAYLOR | November 3, 2019 | 148 views

Healthcare is an industry that is as of now being changed utilizing the most recent technology, so it can address the difficulties it is looking in the 21st century. Technology can help healthcare associations satisfy developing need and proficiently work to convey better patient consideration. Here are 9 innovation inclines that will change medication and healthcare in 2020.

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Health Interactions

Health Interactions is an international medical education agency providing innovative, high-quality and effective healthcare communications. As we are part of Nucleus Global.

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PHARMA TECH

Use of AI: Reshaping the Pharmaceutical Industry

Article | July 20, 2022

For decades, the pharmaceutical industry has counted on state-of-the-art technologies to ensure the market entry of safe and dependable medications. The recent pandemic has shown how important it is for drug companies to get new drugs and vaccines on the market as soon as possible. The incorporation of artificial intelligence and machine learning technologies has greatly benefited the consumer healthcare business and the pharmaceutical industry. These technologies have been indispensable in the field of augmented intelligence, where they are used for applications such as disease detection and diagnosis, research and development, drug manufacturing, and others. How is AI Being Used Across the Pharmaceutical Sector? AI and ML are finding a plethora of applications across the pharmaceutical sector, starting from managing the process of clinical trial databases to drug discovery and disease diagnosis and treatment. These advanced technologies have further gained immense popularity with the advent of the COVID pandemic and the race to discover effective vaccines. The top-level uses of AI across the pharmaceutical sector are as follows Personalized Treatment/ Digital Therapeutics – AI is extensively being used to identify and assist drug developers to provide reliable and accurate insights for developing personalized therapeutics. Disease Identification/ Suggestive Treatment – With robust assessing abilities, AI is finding applications for the diagnosis of diseases ranging from Covid-19 to oncology to degeneration in the eyes. Drug Discovery and Manufacturing – AI assists in screening and comparing the predicted success rate of drug compounds based on biological factors with the results of the initial screening process such as rapid RNA and DNA quantification. Clinical Trials – The technology helps in identifying the most suitable candidate for the clinical trial on the basis of disease conditions, history, and additional attributes covering infection rates, ethnicity, and demographics to study the impact of the drug. The Way Ahead With growing applications in the development of novel therapeutic medications, shifting patient inclination toward personalized medicines, and the introduction of advanced medical fields such as gene therapy, AI is estimated to transform the pharmaceutical

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BUSINESS INSIGHTS

How Pharma Is Utilizing AI and Analytic Capabilities to Produce Positive Results

Article | June 30, 2022

Applications for AI are as diverse as the industries that employ them, and pharma has identified the particular varieties of AI that are most effective in attaining quicker, more fruitful results across a variety of business activities. In a world where every second counts, pharma and biotech businesses are under pressure to shorten the time to insight and deliver success. As a result, leading organizations quickly realize the potential of artificial intelligence (AI) as a crucial tool for advancing their operations. Leading pharma and biotech firms have realized the potential of AI and are utilizing it to boost productivity and innovation across the board, from production to drug discovery. Their procedures have significantly benefited from the application of machine learning (ML) and natural language processing (NLP), and the results are only becoming better because AI gets stronger and "smarter" the more data it processes. Advantages Pharma Industry Can Leverage Increased effectiveness across the spectrum in the pharmaceutical industry Drug discovery accelerates Superior disease surveillance, detection, and prevention Clinical trials with lower risk Greater insight into the client NLP is used to turn clinical trial data that is text-intensive and highly categorized into the data utilized in machine learning (ML) models, allowing the computer system to apply patterns to the data and generate insights. Clinical trial data is structured and enriched, making it possible to analyze and visualize the data for use in successful plans and strategies for clinical trial design, manufacturing, marketing, and other areas. Faster time to insight and improved business outcomes are the end results. A particularly true principle of machine learning applications is that the outcomes from using AI applications are only as reliable as the data itself. The Pharma Intelligence offering, which combines high-quality, extensive data from the pharmaceutical and biotechnology industries with advanced analytics and AI applications, has assisted customers with high-value products in resolving some of their most difficult key problems, including target prioritization, modalities innovation, competitive benchmarking, clinical trial design and deployment, and more.

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PHARMA TECH

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

Article | July 12, 2022

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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PHARMA TECH

Modern Phenotypic Drug Discovery

Article | June 2, 2022

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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Health Interactions

Health Interactions is an international medical education agency providing innovative, high-quality and effective healthcare communications. As we are part of Nucleus Global.

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PHARMACY MARKET

Titan Pharmaceuticals to Explore Strategic Alternatives

Titan Pharmaceuticals, Inc. | December 22, 2021

Titan Pharmaceuticals, Inc. announced that it has commenced a process to explore and evaluate strategic alternatives to enhance shareholder value. Titan has engaged Maxim Group LLC as its exclusive financial advisor to assist in this process. Potential strategic alternatives that may be explored or evaluated as part of this process include an acquisition, merger, reverse merger, other business combination, sales of assets, licensing or other strategic transactions involving the Company. There can be no assurance that the exploration of strategic alternatives will result in any agreements or transactions, or that, if completed, any agreements or transactions will be successful or on attractive terms. Titan does not expect to disclose developments with respect to this process unless and until the evaluation of strategic alternatives has been completed or the board of directors has concluded that disclosure is appropriate or legally required. About Titan Pharmaceuticals Titan Pharmaceuticals, Inc. based in South San Francisco, CA, is a development stage company developing proprietary therapeutics with its ProNeura® long-term, continuous drug delivery technology. The ProNeura technology has the potential to be used in developing products for treating a number of chronic conditions, where maintaining consistent, around-the-clock blood levels of medication may benefit the patient and improve medical outcomes. Ultimate validation of the ProNeura® delivery system has been exemplified by approval of Probuphine in the US, EU and Canada. Key ongoing ProNeura implant programs include IND-enabling, non-clinical assessment of TP-2021, a potent peptide kappa opioid agonist for the long-term treatment of severe, chronic pruritis, and nalmefene, a mu opioid receptor blocker designed to decrease relapse and potential death from overdose in detoxed patients with Opiate Use Disorder.

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BUSINESS INSIGHTS

TriMas Closes on Acquisition of Omega

TriMas | December 21, 2021

TriMasannounced that it has closed the acquisition of Omega Plastics (“Omega”), a manufacturer of custom components and tooling for medical, as well as industrial applications, adding to TriMas’ Packaging group. Omega leverages its core injection molding capabilities, ISO Class 8 clean room and advanced in-house tool making capabilities, to provide its customers a faster product development cycle, from prototype development, testing and validation, to short and medium run production and assembly. Omega’s medical components are currently used in drug delivery, including consumable intravenous applications, as well as diagnostic testing and orthopedic applications. As of September 30, 2021, TriMas’ Packaging group’s last twelve months sales were approximately $534 million, representing approximately 64% of TriMas’ total sales. TriMas plans to expand Omega’s production capacity, as required in order to benefit its customers’ longer-term needs, while also leveraging Omega’s advanced tool making capabilities to add to TriMas Packaging’s speed-to-market advantage on innovation and new product designs. Omega is expected to generate approximately $18 million in revenue in fiscal year 2021. “We welcome Omega to TriMas’ family of businesses and look forward to working with the Omega leadership team to unleash future growth opportunities. I’d like to thank all the teams from Omega, TriMas and our respective advisors that supported the work to complete this transaction.” Thomas Amato, TriMas President & CEO The addition of Omega further expands TriMas Packaging’s Pharmaceutical & Nutraceutical product offering into supporting medical device contract development manufacturing customers.

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BUSINESS INSIGHTS

Iktos and The University of Dundee, Drug Discovery Unit (DDU) Announce a Collaboration to Use AI for Drug Design and Retrosyntheis

Iktos | December 20, 2021

Iktos, a company specialized in Artificial Intelligence for new drug design, and The Drug Discovery Unit (DDU), School of Life Sciences, The University of Dundee, focused on the discovery of therapeutics for neglected diseases and the translation of novel biology through small molecule drug discovery, announced entering a collaboration to apply Iktos’s generative modelling artificial intelligence (AI) technology in one of DDU’s drug discovery programs. Under the agreement, Iktos will apply its de novo ligand and structure-based generative modelling technologies, its AI-based retrosynthesis analysis and planning tool Spaya™, and know-how complementing DDU’s drug discovery capabilities to expedite the identification of potential pre-clinical candidates and to identify additional novel chemical matter with suitable properties. The DDU was established in 2006 to respond to a lack of drug targets identified for neglected tropical diseases being translated into therapeutics for diseases impacting the poorest people in the world. The DDU translates basic science into lead compounds to validate putative drug targets, to use as tools to investigate disease pathways and, when appropriate, advance to pre-clinical drug candidates for multiple diseases, e.g. TB and cancer. 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 Iktos’s other 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 recently diversified its R&D efforts into the development of an AI technology for retrosynthesis. Identifying and selecting synthetic pathways is one of the most challenging and time-consuming tasks in synthetic and medicinal chemistry. Iktos has developed AI based retrosynthesis analysis and planning tool Spaya™ by harnessing the power of data-driven retrosynthesis algorithm for systematic exploration and prioritisation of synthetic routes for a desired compound in minutes. “We are thrilled to be working with Iktos to drive our projects towards drug candidates. Iktos AI platform combined with our own in-house computational and medicinal chemistry design teams provide a powerful combination for innovative new drug design.” Professor Paul Wyatt, Head of the DDU “We are thrilled and proud to join forces with DDU with the aim to help in the discovery of therapeutics for neglected diseases and the translation of novel biology through small molecule drug discovery,” commented Yann Gaston-Mathé, President and CEO of Iktos. “Pleased to have earned DDU’s trust, we are confident that together with DDU and their established R&D partners, we will be able to identify promising novel chemical matter and solve complex multiparametric optimisation problems. The feedback from DDU’s research team will be highly valuable as we improve our product offerings. Our strategy has always been to tackle challenging problems alongside our collaborators where we can demonstrate value generation for new and on-going drug discovery projects.” About DDU The Drug Discovery Unit (DDU) (est. 2006) within the School of Life Sciences at The University of Dundee is a fully integrated, Biotech-style, drug discovery centre working across multiple disease areas. The DDU collaborates with partners to translate world-class biology research into novel drug targets and candidate drugs to address unmet medical need. 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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PHARMACY MARKET

Titan Pharmaceuticals to Explore Strategic Alternatives

Titan Pharmaceuticals, Inc. | December 22, 2021

Titan Pharmaceuticals, Inc. announced that it has commenced a process to explore and evaluate strategic alternatives to enhance shareholder value. Titan has engaged Maxim Group LLC as its exclusive financial advisor to assist in this process. Potential strategic alternatives that may be explored or evaluated as part of this process include an acquisition, merger, reverse merger, other business combination, sales of assets, licensing or other strategic transactions involving the Company. There can be no assurance that the exploration of strategic alternatives will result in any agreements or transactions, or that, if completed, any agreements or transactions will be successful or on attractive terms. Titan does not expect to disclose developments with respect to this process unless and until the evaluation of strategic alternatives has been completed or the board of directors has concluded that disclosure is appropriate or legally required. About Titan Pharmaceuticals Titan Pharmaceuticals, Inc. based in South San Francisco, CA, is a development stage company developing proprietary therapeutics with its ProNeura® long-term, continuous drug delivery technology. The ProNeura technology has the potential to be used in developing products for treating a number of chronic conditions, where maintaining consistent, around-the-clock blood levels of medication may benefit the patient and improve medical outcomes. Ultimate validation of the ProNeura® delivery system has been exemplified by approval of Probuphine in the US, EU and Canada. Key ongoing ProNeura implant programs include IND-enabling, non-clinical assessment of TP-2021, a potent peptide kappa opioid agonist for the long-term treatment of severe, chronic pruritis, and nalmefene, a mu opioid receptor blocker designed to decrease relapse and potential death from overdose in detoxed patients with Opiate Use Disorder.

Read More

BUSINESS INSIGHTS

TriMas Closes on Acquisition of Omega

TriMas | December 21, 2021

TriMasannounced that it has closed the acquisition of Omega Plastics (“Omega”), a manufacturer of custom components and tooling for medical, as well as industrial applications, adding to TriMas’ Packaging group. Omega leverages its core injection molding capabilities, ISO Class 8 clean room and advanced in-house tool making capabilities, to provide its customers a faster product development cycle, from prototype development, testing and validation, to short and medium run production and assembly. Omega’s medical components are currently used in drug delivery, including consumable intravenous applications, as well as diagnostic testing and orthopedic applications. As of September 30, 2021, TriMas’ Packaging group’s last twelve months sales were approximately $534 million, representing approximately 64% of TriMas’ total sales. TriMas plans to expand Omega’s production capacity, as required in order to benefit its customers’ longer-term needs, while also leveraging Omega’s advanced tool making capabilities to add to TriMas Packaging’s speed-to-market advantage on innovation and new product designs. Omega is expected to generate approximately $18 million in revenue in fiscal year 2021. “We welcome Omega to TriMas’ family of businesses and look forward to working with the Omega leadership team to unleash future growth opportunities. I’d like to thank all the teams from Omega, TriMas and our respective advisors that supported the work to complete this transaction.” Thomas Amato, TriMas President & CEO The addition of Omega further expands TriMas Packaging’s Pharmaceutical & Nutraceutical product offering into supporting medical device contract development manufacturing customers.

Read More

BUSINESS INSIGHTS

Iktos and The University of Dundee, Drug Discovery Unit (DDU) Announce a Collaboration to Use AI for Drug Design and Retrosyntheis

Iktos | December 20, 2021

Iktos, a company specialized in Artificial Intelligence for new drug design, and The Drug Discovery Unit (DDU), School of Life Sciences, The University of Dundee, focused on the discovery of therapeutics for neglected diseases and the translation of novel biology through small molecule drug discovery, announced entering a collaboration to apply Iktos’s generative modelling artificial intelligence (AI) technology in one of DDU’s drug discovery programs. Under the agreement, Iktos will apply its de novo ligand and structure-based generative modelling technologies, its AI-based retrosynthesis analysis and planning tool Spaya™, and know-how complementing DDU’s drug discovery capabilities to expedite the identification of potential pre-clinical candidates and to identify additional novel chemical matter with suitable properties. The DDU was established in 2006 to respond to a lack of drug targets identified for neglected tropical diseases being translated into therapeutics for diseases impacting the poorest people in the world. The DDU translates basic science into lead compounds to validate putative drug targets, to use as tools to investigate disease pathways and, when appropriate, advance to pre-clinical drug candidates for multiple diseases, e.g. TB and cancer. 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 Iktos’s other 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 recently diversified its R&D efforts into the development of an AI technology for retrosynthesis. Identifying and selecting synthetic pathways is one of the most challenging and time-consuming tasks in synthetic and medicinal chemistry. Iktos has developed AI based retrosynthesis analysis and planning tool Spaya™ by harnessing the power of data-driven retrosynthesis algorithm for systematic exploration and prioritisation of synthetic routes for a desired compound in minutes. “We are thrilled to be working with Iktos to drive our projects towards drug candidates. Iktos AI platform combined with our own in-house computational and medicinal chemistry design teams provide a powerful combination for innovative new drug design.” Professor Paul Wyatt, Head of the DDU “We are thrilled and proud to join forces with DDU with the aim to help in the discovery of therapeutics for neglected diseases and the translation of novel biology through small molecule drug discovery,” commented Yann Gaston-Mathé, President and CEO of Iktos. “Pleased to have earned DDU’s trust, we are confident that together with DDU and their established R&D partners, we will be able to identify promising novel chemical matter and solve complex multiparametric optimisation problems. The feedback from DDU’s research team will be highly valuable as we improve our product offerings. Our strategy has always been to tackle challenging problems alongside our collaborators where we can demonstrate value generation for new and on-going drug discovery projects.” About DDU The Drug Discovery Unit (DDU) (est. 2006) within the School of Life Sciences at The University of Dundee is a fully integrated, Biotech-style, drug discovery centre working across multiple disease areas. The DDU collaborates with partners to translate world-class biology research into novel drug targets and candidate drugs to address unmet medical need. 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.

Read More

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