Advances in Neuro-oncology

JEFF ZAGOUDIS | April 11, 2019 | 44 views

Brain tumors are some of the most complicated forms of cancer to treat due to their extremely sensitive location. Surgery is the first choice when possible, as it guarantees removal of the tumor. Brain surgery is, however, an extremely invasive procedure and requires weeks to months of recovery time for the patient. Radiation therapy offers a minimally invasive alternative, but it comes with its own set of side effects and complications, including cognitive issues, fatigue, and hair and scalp problems, among others. According to the National Brain Tumor Society, however, only four drugs and one device have been U.S. Food and Drug Administration (FDA)-approved to treat brain tumors in the past 30 years.

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How to Choose a Reliable Biotech Clinical Trial Management System?

Article | July 16, 2022

Introduction The medical and life-science industries are experiencing a robust transformation with the increasing prevalence of various types of diseases, including infectious diseases, chronic disorders, and acute conditions around the world. As a result, a significant rise in demand for more effective therapeutic drugs and bionics is being witnessed, leading to a swift increase in the number of clinical trials. For a successful trial, it is important for biotech companies to ensure the data submitted to regulatory bodies regarding clinical trials is accurate, reliable, and definitive from an ethical point of view. A reliable clinical trial management system plays a vital role in collecting, monitoring, and managing clinical data. The availability of high-quality clinical data also helps clinical research institutions make efficient treatment decisions and provide proper patient care. Hence, a number of biotech companies and research organizations are focusing on leveraging innovative clinical trial management solutions to handle a large amount of data, particularly in multi-center trials, and generate reliable, high-quality, and statistically sound data from clinical trials. However, selecting the most appropriate and reliable clinical trial management system is vital for the clinical trial's success. Let's see some of the steps that will assist these firms in choosing the right CTMS. Key Steps for Selecting Right Biotech Clinical Trial Management System Prioritize Study Needs Considering and prioritizing study needs is a crucial step in choosing the most reliable clinical trial management system for biotech companies. Prioritizing helps them to identify a solution that improves the study's quality and removes uncertainty for researchers when faced with difficult choices. Hence, biotech and life-science organizations should choose a clinical trial system that is simple to use, well-organized, and suitably designed to minimize the number of clicks required to complete a task. Select CTMS with Multiple Integrations Integrated clinical trial management systems provide the best value for the companies’ funds as they guarantee the smooth functioning of research protocols. In addition, integrations are necessary to fully understand the importance and advantages of clinical trial management software for ensuring smooth transitions between site management and data collection. Biotech and clinical research should look for CTMS platforms that can integrate with electronic medical record (EMR) platforms and clinical research process content (CRPC) billing grids. This will allow them to use the same billing designations and ensure compliance while minimizing the need for duplicate processes. Ensure System Compliance and Security Clinical research organizations need to adhere to a plethora of complex regulations in order to ensure compliance with one of the most challenging environments of principles, which is information security and privacy. Security and system compliance are vital aspects of choosing the right CTMS solutions for biotech firms as they assist in building trust and form a part of the system’s duties. While selecting CTMS systems, it is essential for companies engaged in clinical research to ensure that these platforms are able to configure both, group and individual permissions, along with having a data backup and recovery plan for hosted systems. This will allow companies to assess the privacy and security implications of research and anticipate complications that may arise in each phase of the project. Assess the Scalability Choosing a scalable CTMS that can accommodate various types of fluctuations and expansions enables biotech and clinical firms to quickly adapt to fast-changing trends and demand spikes while reducing maintenance costs and enhancing user agility. As scalability also means secure and expanded data storage, these businesses should instead use SaaS solutions than manually manage an ever-growing collection of hard drives. The right CTMS ensures accommodating the firm’s availability requirements without incurring the capital costs associated with expanding a physical infrastructure. The Closing Thought A well-executed and successful clinical trial involves multiple stages and processes. Several quality controls and stringent adherence to regulations are essential for the steps, along with efficient cross-departmental processes and procedures. Incorporating the right CTMS paves the way for paperless data collection, regulatory filing, and fiscal management tools for biotech researchers and administrative personnel.

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MEDICAL

Top 3 Biotech Clinical Data Management Trends to Watch in 2022

Article | August 16, 2022

Introduction The administration of medical records and data has advanced significantly during the past few decades. Clinical data management, which was once only a small subset of biotech research organizations, has now developed into a mission-critical, specialized unit. In the late 1990s, electronic data capture (EDC) began to alter the traditional function of clinical data management. After that, the data configuration and management of data queries for the EDC system fell under the purview of clinical data management services. Today, clinical data management is not only responsible for managing the clinical data configuration and data queries but also developing and implementing data administration plans, ensuring data accuracy and completeness, and maintaining optimum data security. In recent years, as digital technologies have gained acceptance around the globe, data has become a vital aspect in decision-making across numerous industries, and the life sciences and biotechnology sectors are no exception. Using data has provided granular insights to biotech organizations, assisting them in creating breakthroughs in drug development and medical research and signifying the importance of clinical trial management systems in these medical verticals. The Biggest Biotech Clinical Data Management Trends to Know About Today The future of clinical data management is contingent upon the implementation of systems and regulations. It is imperative for all organizations participating in a medical or life science trial to have transparent rules in place for sharing and retaining patient data. Also, there is a need to have a standardized format for maintaining these records and documents related to trials. This assists biotech organizations in reducing the chances of ambiguity regarding who owns what kind of data or paperwork at any given time. Over the past couple of years, the focus of the life science and biotechnology industries has shifted towards developing more effective medications and therapies, implementing personalized treatment, and finding cures for diseases such as cancer and AIDS. In response to this, a substantial rise in the number of clinical trials is being witnessed globally. As the number of clinical trials continues to accelerate, the spending on these trials rises as well. In response to this, the worldwide cost of conducting clinical trials is anticipated to reach US$ 49.80 billion in 2022. With the transition of the world from traditional to digital, medical professionals and biotech businesses are increasingly shifting towards adopting high-tech and reliable clinical trial management systems for various applications, starting from diagnosis and clinical trials to patient data documentation. But, what are the future trends in biotechnology clinical data management? Let’s discuss. Cloud-Based Clinical Metadata Repositories Automation is emerging as a new frontier in the biotech clinical data management domain, along with other innovative technologies such as artificial intelligence and machine learning. Because of this, life science establishments are witnessing a huge shift from paper-based documentation toward data-based documentation, which is creating mountains of research, compliance, and clinical data. The growing demand for new and more effective medications and drugs is augmenting the need to expedite clinical trials. This is resulting in an increased number of initiatives aimed at optimizing clinical trial processes to prepare and launch successful trials. However, pharmaceutical and biotechnology laboratories are encountering several challenges in collecting, managing, and analyzing metadata due to its complexities. So, what is the best solution to this problem? The answer to this is cloud-based clinical metadata repositories. Clinical research facilities are leveraging advanced, all-in-one, cloud-based clinical metadata repositories to assist them in centralizing and managing metadata; increasing metadata quality, consistency, and accuracy; and speeding up clinical trial management, documentation, and compliance processes. Shift Towards Digital Solutions Electronic Case Report Form Adequate research and accurate data are crucial for a clinical trial to succeed. Whether developing new drugs, medication, or therapies; conducting life science research; or studying the latest clinical trial systems, it is best to use electronic solutions as it reduces the room for mistakes during the transition of clinical data from paper-based format. Realizing this, biotech organizations are shifting towards using electronic case report forms to speed up record retrieval, improve record security, and cut down on operational costs associated with running clinical trials. The electronic case report form assists in lowering the failure rate of the clinical trial, enhancing efficiency, and optimizing security along with improving clinical trial documentation and productivity, further driving its adoption in the medical space. Electronic Clinical Outcome Assessment Electronic clinical outcome assessment is surfacing as one of the fast-growing future trends in biotechnology. It allows clinical trial facilities to automate data entry and improve the reliability of the collected information. The technology enables clinical trial institutions to automatically record patient-provided information about side effects, symptoms, drug timing, and other aspects during the clinical trial for increased precision. It also helps these institutions analyze the results of medication or therapy in clinical trials and lets clinical researchers use medical technologies like biosensor-enabled devices, self-service applications, and medical wearables for evaluation. Hence, biotech clinical facilities are increasingly deploying advanced electronic clinical outcome assessment systems to ensure adherence to protocols and regulations. Clinical Trial Customization The success of a new drug is determined by numerous factors other than its effectiveness, safety, and creativity of its developers, such as a successful clinical trial. Each clinical trial involves a number of decision-making points, and one wrong choice in any of these aspects can jeopardize the success of the entire endeavor. A crucial component of making well-informed decisions is data management, which is a part of clinical study as a whole. Clinical trial customization is emerging as one of the most prominent biotech clinical trial management trends. Every clinical trial is unique and needs a tailored approach to be successful. With the emergence of the trend of personalized treatment around the globe, biotech and pharmaceutical organizations are adopting innovative customized clinical trial management solutions to accelerate the pace of clinical trials and approvals. This is giving clinical researchers innovative ways to come up with new medicines for patients and streamline the clinical data as per the requirements for faster approvals. What Are the Key Clinical Data Management Challenges Faced by Biotech Companies? Groundbreaking medical interventions are of no use without reliable, accurate, and extensive clinical trial data. Without the data, biotech and pharmaceutical companies will not be able to provide the assurance of safety and efficacy required to bring the medication to market. Regulatory bodies such as the Food and Drug Administration (FDA), the Medicines and Healthcare Products Regulatory Agency (MHRA), and others are putting stricter rules in place to ensure the quality of clinical data. In addition, the fast-changing clinical development environment is creating more obstacles for biotech and medical spaces to ensure the accuracy, standard, and completeness of the clinical trial data. Hence, clinical teams are spending valuable time cleaning up data instead of analyzing it. Time spent trying to figure out issues with clinical trial data is detrimental and expensive but also mission-critical. This is because a small issue in the data can lead to numerous consequences, from small delays to calamitous setbacks, making it necessary to rerun clinical trials. This problem will only get more challenging to address as the volume of data and the types of data sources continue to grow. Here are some of the major clinical data management challenges that biotech firms encounter Standardization of Clinical Metadata Stringent Regulatory Compliance Increased Clinical Trial Complexity Mid-Study Changes Why Are Clinical Data Management Systems Garnering Popularity in the Biotech Industry? With the changing regulatory and clinical landscape, biotech and pharmaceutical companies are facing several obstacles in the management of clinical data and clinical trials. In addition, regulatory agencies are moving toward integrated electronic systems, which is making it more and more important for clinical laboratories to change the format of their submissions. Because of this, several biotech clinical labs are focusing on adopting innovative laboratory solutions, such as biotech clinical data management systems, to meet the need for standardized data inputs and replace all manual ways of working with electronic systems. A clinical data management system establishes the framework for error-free data collection and high-quality data submission, resulting in speedier drug discovery and shorter time-to-market. These solutions are gaining huge traction among biotech and pharmaceutical companies, owing to their ability to effectively manage clinical data, accelerate clinical trials, and ensure compliance. Let’s see some of the features of biotech clinical data management software that are most sought after by life-science companies Controlled, standardized data repository. Centralized data analysis and administration. Reduced operational expenditures for clinical data processes. Enhanced process effectiveness. Superior submission quality Compliance with predefined standards. Clinical Data Management Systems: The Future The role of clinical data management systems is evolving at a rapid pace as the life science and medical industries continue to incorporate digital solutions for diverse operations. These systems are being used in a variety of biotech clinical settings, ranging from clinical data compliance to data science and analytics, to help them analyze large and growing volumes of clinical data. Hence, a number of high-tech medical companies are aiming at integrating innovative technologies, such as artificial intelligence and machine learning, into clinical data management software to automate clinical data management tasks, improve clinical data submission, and enhance data quality. These new biotech clinical management technologies are anticipated to help life science laboratories gain a better understanding of diseases and speed up clinical trials in the coming years. FAQ What is a clinical data management system? A clinical data management system (CDMS) is a tool used in clinical research to track, record, and manage clinical trial data across medical establishments such as biotech laboratories. What are the key functions of the biotech clinical data management system? Some of the key functions of biotech clinical data management system are Documentation of Protocols and Regulations Patient Recruitment Real-time Clinical Study Analytics Reporting Investigator Relationship Management Electronic Visit Report Why is a clinical data management system needed for clinical trials today? A clinical data management system helps shorten the time from drug development to marketing by assisting in the collection of high-quality, statistically sound, and accurate data from clinical trials.

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RESEARCH

Top 10 biotech IPOs in 2019

Article | July 11, 2022

The big question at the start of 2019 was whether the IPO window would stay open for biotech companies, particularly those seeking to pull off ever-larger IPOs at increasingly earlier stages of development. The short answer is yes—kind of. Here’s the long answer: In the words of Renaissance Capital, the IPO market had “a mostly good year.” The total number of deals fell to 159 from 192 the year before, but technology and healthcare companies were standout performers. The latter—which include biotech, medtech and diagnostics companies—led the pack, making up 43% of all IPOs in 2019. By Renaissance’s count, seven companies went public at valuations exceeding $1 billion, up from five the year before

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Cell Out? Lysate-Based Expression an Option for Personalized Meds

Article | February 18, 2020

Cell-free expression (CFE) is the practice of making a protein without using a living cell. In contrast with cell line-based methods, production is achieved using a fluid containing biological components extracted from a cell, i.e., a lysate. CFE offers potential advantages for biopharma according to Philip Probert, PhD, a senior scientist at the Centre for Process Innovation in the U.K.

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Create superior customer experiences in the spectroscopy segment of the instrument market. Integrate the most current detection technologies with advanced interface devices to enable ease of use, elegant form factors, and strong value positions. Develop these improved products for accepted applications.

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Precision NanoSystems is Now a Part of Danaher's Life Sciences Platform

Cytiva, Pall Corporation | June 02, 2021

Danaher Corporation's Life Sciences platform has acquired precision NanoSystems (PNI). PNI is a global leader in technologies and solutions for developing genetic medicines, including mRNA vaccines and therapeutics. PNI will join Danaher's Life Sciences platform and complement other businesses in the forum, including Cytiva and Pall. "PNI has advanced several exciting innovations, and we're thrilled to welcome this talented team," says Emmanuel Ligner, Danaher Group Executive. "As mRNA has matured as a successful technology in some COVID vaccines, we see huge potential for this technology to accelerate other therapies. The work done thus far by the PNI team will also enable our customers at Cytiva and Pall to take a huge step forward in advancing their science to improve the lives of patients." James Taylor, co-founder, and CEO of Precision NanoSystems, says: "Over the last ten years, PNI has been a leading technology company, enabling the development of genetic medicines. Joining Danaher's Life Sciences platform allows our world-class team to accelerate and expand the work we do to support our customers with comprehensive technology platforms and the expertise to manufacture transformative medicines for the benefit of humanity. With the global reach of the Danaher Life Sciences platform and customers who are leaders in biotechnology, this is an incredible opportunity to bring PNI's innovations to market and expand our impact." The overall mRNA therapeutics and vaccines market was growing rapidly and accelerated with the development of COVID-19 mRNA vaccines. It is anticipated that mRNA technology will be used to develop other vaccines and to treat other conditions of high unmet medical need, such as cancer and genetic diseases. At present, most mRNA therapies and other types of genetic medicines in clinical development are designed to be delivered with the help of lipid nanoparticles (LNPs). PNI's Genetic Medicine Toolkit, including its proprietary GenVoyTM LNP delivery platform and NanoAssemblrTM microfluidic-based nanoparticle manufacturing platform, enables the rapid development of genetic medicines. PNI's validated technologies increase the stability, efficacy, yield, and quality of non-viral genetic medication and lower the barrier to develop these essential medicines. PNI is developing a new center of manufacturing excellence in Vancouver, which will proceed as planned. When complete, the biomanufacturing center will further advance Canadian therapeutic and vaccine manufacturing capabilities, broaden the domestic life sciences sector, create new jobs in the region, and foster a new generation of scientific talent. About Pall Pall Corporation may be a filtration, separation, and purification leader providing solutions to meet customers' critical fluid management needs across the broad spectrum of life sciences and industry. Pall works with customers to advance health, safety, and environmentally responsible technologies. The Company's engineered products enable process and product innovation and minimize emissions and waste. Pall Corporation serves customers worldwide. About Cytiva Cytiva is a global life science leader with more than 8,000 associates across 40 countries dedicated to advancing and accelerating therapeutics. As a trusted partner to customers that range in scale and scope, Cytiva brings speed, efficiency, and capacity to research and manufacture workflows, enabling the development, manufacture, and delivery of transformative medicines to patients.

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MEDTECH

ZS and Seven Bridges Collaborate to Innovate Drug Research

ZS, Seven Bridges | May 07, 2021

ZS and Seven Bridges disclosed a collaboration today that will merge ZS's experience in biomedical testing facilities and data science with Seven Bridges' technology platform, which enables multi-omics analytics through the translational and clinical continuum. The hybrid offers biopharmaceutical and biotechnology firms a one-stop-shop for multi-omics analysis innovation and scalability. ZS and Seven Bridges work together to help clients produce breakthrough science, promote drug development, and improve the probability of approval for potential drug candidates. "Working side by side with our clients to help streamline R&D data and maximize pace and market to enhance patients' lives is at the heart of what we do at ZS," said Aaron Mitchell, principal, and leader of ZS's research and development excellence program. "Our collaboration with Seven Bridges allows our clients, and eventually patients, to gain access to new therapies and diagnostics more quickly." "Drug discovery, translational medicine, and preclinical drug research all require study at the molecular and genomic levels of implementation, and our collaboration with Seven Bridges provides our clients with a new option for innovation and scalable capacity," said John Piccone, principal, and leader of ZS's biomedical research service line. "We are building a talent pool of molecular natives with a strong knowledge of chemistry, data science, and technology to collaborate with our clients in the discovery of potential drug targets, the selection of drug candidates, and the solution of key translational medicine challenges. The integration of the Seven Bridges Platform and experts with the ZS consulting teams results in a modular approach for clients with growing multi-omics data and analytics requirements." "We are delighted to be combining the Seven Bridges platform with ZS's innovative apps for drug discovery and translational medicine. Integrating our multi-omics analysis platform and ARIATM, a centralized solution for molecular and patient-level phenotypic analysis at scale, with their research data lake is a critical requirement for ZS's pharmaceutical clients "said Bruce Press, Seven Bridges' Chief Revenue Officer. About Seven Bridges Seven Bridges allows researchers to derive meaningful insights from genomic and phenotypic data, thereby advancing precision medicine. A compliant analytic platform, intelligently curated content, innovative algorithms, unmatched access to federated data sets, and specialist on-demand technical resources comprise the Seven Bridges Ecosystem. Researchers at the world's leading academic, biotechnology, clinical diagnostic, government, medical centers, and pharmaceutical institutions are using this systematic approach to bioinformatics to maximize R&D effectiveness, improve hypothesis resolution, isolate vital biomarkers, and even transform a failing clinical trial around while also minimizing computational workflow times and data storage costs.

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RESEARCH

Chemistry42, an AI System from Insilico, has been Incorporated into UCB's Drug Discovery Programmes

Insilico Medicine | March 15, 2021

Insilico Medicine, an AI drug discovery company, reported that UCB will incorporate Insilico's Chemistry42™ into UCB's inward drug discovery pipeline. UCB's initial appropriation of Insilico Medicine's restrictive innovation will give UCB's researchers the capacity to plan novel hit compounds that fulfill various predefined boundaries quickly and smooth out lead enhancement. With the Chemistry42™ platform, UCB researchers will likewise lessen the endeavors and expenses commonly connected with the plan, testing and commercialization of new drugs. Chemistry42™ v1.0 will be modified and conveyed on UCB's cloud-based supercomputing infrastructure. Chemistry42™ is an adaptable, easy to understand programming platform that incorporates man-made brainpower (AI) strategies with the fields of therapeutic and computational science for the plan of novel little atoms with client characterized druglike physicochemical properties. The platform is an adaptable conveyed web application equipped for running various assignments in equal very quickly. Container coordination and work process the executives consider unsurprising equipment freethinker asset distribution and the execution on one or the other cloud or neighborhood HPC infrastructures. "UCB is one of the leading companies in small molecule drug discovery. It was their insight and approach at the forefront of this science that encouraged us to move into AI-powered chemistry over five years ago and it gives me great pleasure to see UCB among the launch partners of our Chemistry42 operating system," said Alex Zhavoronkov, Ph.D., CEO of Insilico Medicine. "Insilico Medicine has been very responsive in this quickly developing area of science and we are delighted to be one of the launch partners for Chemistry42," Jiye Shi, Global Head of Computer-Aided Drug Design at UCB said. "Our hope is that this platform will further enhance the digital transformation of our drug discovery capabilities for the benefit of patients worldwide." About Insilico Medicine Insilico Medicine develops software that leverages generative models, reinforcement learning (RL), and other modern machine learning techniques to generate new molecular structures with specific properties. Insilico Medicine also develops software for the generation of synthetic biological data, target identification, and the prediction of clinical trial outcomes. The company integrates two business models: providing AI-powered drug discovery services and software through its Pharma.AI platform (www.insilico.com/platform/) and developing its pipeline of preclinical programs. The preclinical program is the result of pursuing novel drug targets and novel molecules discovered through its platforms. Since its inception in 2014, Insilico Medicine has raised over $52 million and received multiple industry awards. About UCB UCB, Brussels, Belgium is a global biopharmaceutical company focused on the discovery and development of innovative medicines and solutions to transform the lives of people living with severe diseases of the immune system or of the central nervous system.

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MEDICAL

Precision NanoSystems is Now a Part of Danaher's Life Sciences Platform

Cytiva, Pall Corporation | June 02, 2021

Danaher Corporation's Life Sciences platform has acquired precision NanoSystems (PNI). PNI is a global leader in technologies and solutions for developing genetic medicines, including mRNA vaccines and therapeutics. PNI will join Danaher's Life Sciences platform and complement other businesses in the forum, including Cytiva and Pall. "PNI has advanced several exciting innovations, and we're thrilled to welcome this talented team," says Emmanuel Ligner, Danaher Group Executive. "As mRNA has matured as a successful technology in some COVID vaccines, we see huge potential for this technology to accelerate other therapies. The work done thus far by the PNI team will also enable our customers at Cytiva and Pall to take a huge step forward in advancing their science to improve the lives of patients." James Taylor, co-founder, and CEO of Precision NanoSystems, says: "Over the last ten years, PNI has been a leading technology company, enabling the development of genetic medicines. Joining Danaher's Life Sciences platform allows our world-class team to accelerate and expand the work we do to support our customers with comprehensive technology platforms and the expertise to manufacture transformative medicines for the benefit of humanity. With the global reach of the Danaher Life Sciences platform and customers who are leaders in biotechnology, this is an incredible opportunity to bring PNI's innovations to market and expand our impact." The overall mRNA therapeutics and vaccines market was growing rapidly and accelerated with the development of COVID-19 mRNA vaccines. It is anticipated that mRNA technology will be used to develop other vaccines and to treat other conditions of high unmet medical need, such as cancer and genetic diseases. At present, most mRNA therapies and other types of genetic medicines in clinical development are designed to be delivered with the help of lipid nanoparticles (LNPs). PNI's Genetic Medicine Toolkit, including its proprietary GenVoyTM LNP delivery platform and NanoAssemblrTM microfluidic-based nanoparticle manufacturing platform, enables the rapid development of genetic medicines. PNI's validated technologies increase the stability, efficacy, yield, and quality of non-viral genetic medication and lower the barrier to develop these essential medicines. PNI is developing a new center of manufacturing excellence in Vancouver, which will proceed as planned. When complete, the biomanufacturing center will further advance Canadian therapeutic and vaccine manufacturing capabilities, broaden the domestic life sciences sector, create new jobs in the region, and foster a new generation of scientific talent. About Pall Pall Corporation may be a filtration, separation, and purification leader providing solutions to meet customers' critical fluid management needs across the broad spectrum of life sciences and industry. Pall works with customers to advance health, safety, and environmentally responsible technologies. The Company's engineered products enable process and product innovation and minimize emissions and waste. Pall Corporation serves customers worldwide. About Cytiva Cytiva is a global life science leader with more than 8,000 associates across 40 countries dedicated to advancing and accelerating therapeutics. As a trusted partner to customers that range in scale and scope, Cytiva brings speed, efficiency, and capacity to research and manufacture workflows, enabling the development, manufacture, and delivery of transformative medicines to patients.

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MEDTECH

ZS and Seven Bridges Collaborate to Innovate Drug Research

ZS, Seven Bridges | May 07, 2021

ZS and Seven Bridges disclosed a collaboration today that will merge ZS's experience in biomedical testing facilities and data science with Seven Bridges' technology platform, which enables multi-omics analytics through the translational and clinical continuum. The hybrid offers biopharmaceutical and biotechnology firms a one-stop-shop for multi-omics analysis innovation and scalability. ZS and Seven Bridges work together to help clients produce breakthrough science, promote drug development, and improve the probability of approval for potential drug candidates. "Working side by side with our clients to help streamline R&D data and maximize pace and market to enhance patients' lives is at the heart of what we do at ZS," said Aaron Mitchell, principal, and leader of ZS's research and development excellence program. "Our collaboration with Seven Bridges allows our clients, and eventually patients, to gain access to new therapies and diagnostics more quickly." "Drug discovery, translational medicine, and preclinical drug research all require study at the molecular and genomic levels of implementation, and our collaboration with Seven Bridges provides our clients with a new option for innovation and scalable capacity," said John Piccone, principal, and leader of ZS's biomedical research service line. "We are building a talent pool of molecular natives with a strong knowledge of chemistry, data science, and technology to collaborate with our clients in the discovery of potential drug targets, the selection of drug candidates, and the solution of key translational medicine challenges. The integration of the Seven Bridges Platform and experts with the ZS consulting teams results in a modular approach for clients with growing multi-omics data and analytics requirements." "We are delighted to be combining the Seven Bridges platform with ZS's innovative apps for drug discovery and translational medicine. Integrating our multi-omics analysis platform and ARIATM, a centralized solution for molecular and patient-level phenotypic analysis at scale, with their research data lake is a critical requirement for ZS's pharmaceutical clients "said Bruce Press, Seven Bridges' Chief Revenue Officer. About Seven Bridges Seven Bridges allows researchers to derive meaningful insights from genomic and phenotypic data, thereby advancing precision medicine. A compliant analytic platform, intelligently curated content, innovative algorithms, unmatched access to federated data sets, and specialist on-demand technical resources comprise the Seven Bridges Ecosystem. Researchers at the world's leading academic, biotechnology, clinical diagnostic, government, medical centers, and pharmaceutical institutions are using this systematic approach to bioinformatics to maximize R&D effectiveness, improve hypothesis resolution, isolate vital biomarkers, and even transform a failing clinical trial around while also minimizing computational workflow times and data storage costs.

Read More

RESEARCH

Chemistry42, an AI System from Insilico, has been Incorporated into UCB's Drug Discovery Programmes

Insilico Medicine | March 15, 2021

Insilico Medicine, an AI drug discovery company, reported that UCB will incorporate Insilico's Chemistry42™ into UCB's inward drug discovery pipeline. UCB's initial appropriation of Insilico Medicine's restrictive innovation will give UCB's researchers the capacity to plan novel hit compounds that fulfill various predefined boundaries quickly and smooth out lead enhancement. With the Chemistry42™ platform, UCB researchers will likewise lessen the endeavors and expenses commonly connected with the plan, testing and commercialization of new drugs. Chemistry42™ v1.0 will be modified and conveyed on UCB's cloud-based supercomputing infrastructure. Chemistry42™ is an adaptable, easy to understand programming platform that incorporates man-made brainpower (AI) strategies with the fields of therapeutic and computational science for the plan of novel little atoms with client characterized druglike physicochemical properties. The platform is an adaptable conveyed web application equipped for running various assignments in equal very quickly. Container coordination and work process the executives consider unsurprising equipment freethinker asset distribution and the execution on one or the other cloud or neighborhood HPC infrastructures. "UCB is one of the leading companies in small molecule drug discovery. It was their insight and approach at the forefront of this science that encouraged us to move into AI-powered chemistry over five years ago and it gives me great pleasure to see UCB among the launch partners of our Chemistry42 operating system," said Alex Zhavoronkov, Ph.D., CEO of Insilico Medicine. "Insilico Medicine has been very responsive in this quickly developing area of science and we are delighted to be one of the launch partners for Chemistry42," Jiye Shi, Global Head of Computer-Aided Drug Design at UCB said. "Our hope is that this platform will further enhance the digital transformation of our drug discovery capabilities for the benefit of patients worldwide." About Insilico Medicine Insilico Medicine develops software that leverages generative models, reinforcement learning (RL), and other modern machine learning techniques to generate new molecular structures with specific properties. Insilico Medicine also develops software for the generation of synthetic biological data, target identification, and the prediction of clinical trial outcomes. The company integrates two business models: providing AI-powered drug discovery services and software through its Pharma.AI platform (www.insilico.com/platform/) and developing its pipeline of preclinical programs. The preclinical program is the result of pursuing novel drug targets and novel molecules discovered through its platforms. Since its inception in 2014, Insilico Medicine has raised over $52 million and received multiple industry awards. About UCB UCB, Brussels, Belgium is a global biopharmaceutical company focused on the discovery and development of innovative medicines and solutions to transform the lives of people living with severe diseases of the immune system or of the central nervous system.

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