Evogene makes Lilliputian plants to test seed traits; moves to cannabis

Cannabis is one of those new markets where everyone and his brother is racing in to make a quick buck. About 500 cannabis-related companies are listed on exchanges in countries like Canada, yet only a handful of those companies are involved in serious biotech endeavors or research. The rest of them, about 90% of those companies are selling recreational products with claims and products that lack medical or scientific backing.

Spotlight

Magenta Therapeutics

Magenta Therapeutics is a clinical-stage biotechnology company developing medicines to bring the curative power of stem cell transplant to more patients with blood cancers

OTHER ARTICLES
MedTech

Data Analytics: A Groundbreaking Technology in Biotech

Article | September 22, 2022

Biotechnology is a vast discipline of biology that employs diverse biological systems to create solutions that can significantly alter the ways in which they operate across various domains. That said, biotechnology is not a new notion. It has existed for millennia, with ancient civilizations using its earliest incarnations to cultivate crops and create alcoholic beverages. Today, the biotechnology industry has developed by leaps and bounds and has amassed a vast quantity of scientific data through study and research. Given the importance of data in the biotechnology business, it is not difficult to understand why biotech companies utilize data analytics. Modern data analytics tools have made it possible for researchers in the biotech industry to build predictive analytics models and gain knowledge about the most efficient approaches to accomplish their desired goals and objectives. Data analytics is increasingly being adopted by biotech businesses to better understand their industry and foresee any problems down the road. How is Data Analytics Revolutionizing Fields in Biotechnology? Today's business and scientific fields greatly benefit from data. Without the analysis of vast information libraries that provide new insights and enable new innovations, no industry can really advance. Being highly reliant on big data analytics, biotech is not an exception in this regard. With the tools and methods that help scientists systematize their findings and speed up their research for better and safer results, data analytics is making deeper inroads into the biotechnology industry. It is emerging as a crucial link between knowledge and information and is extensively being used for purposes other than just examining the information that is already available. The following are a few of the cutting-edge biotechnology applications of data analytics Genomics and Disease Treatment Pharmaceutical Drug Discovery Drug Recycling and Safety Agriculture and Agri-products Environmental Damage Mitigation Data Analytics Possibilities in Biotechnology With data analytics becoming an integral part of how biotech businesses operate, biotechnologists and related stakeholders need to understand its emergence and crucial role. Data analytics has opened new frontiers in the realm of biotechnology. Thanks to developments in data analytics, research and development activities that once took years may now be accomplished in a matter of months. Also, now scientists have access to biological, social, and environmental insights that can be exploited to create more effective and sustainable products. By understanding the importance of data-related tools and techniques applications, biotech companies are aiming to invest in the popularizing technology to stay updated in the fast-paced biotechnology industry.

Read More
MedTech

Immunology: A New Frontier in Medical Science

Article | July 12, 2022

Introduction Recent developments in the bioengineering of monoclonal antibodies (mAbs) have revolutionized the treatment of numerous rheumatic and immunological disorders. Currently, several immunological disorders are successfully being targeted and treated using innovative medical techniques such as immunotherapy. Leading companies are increasingly investing in research activities to expand the usage and application of immunology for the treatment of various infectious diseases, including multiple sclerosis, inflammatory bowel disorders, lupus, and psoriasis, leading companies are increasingly investing in research activities. Today, the efforts of researchers in immunology, with a long history of study and research, have borne fruit, as bioengineered mAbs are now being employed in clinical practices. Accelerating Investments: Paving the Way for Immunology The increasing prevalence of infectious diseases, cancer, and immune-mediated inflammatory disorders (IMIDs) is raising the need for more precise classification and an in-depth understanding of the pathology underlying these ailments. Numerous leaders in the biotechnology domain are thus focusing on undertaking numerous strategies, such as new facility launches and collaborations, to address the need by finding deeper inroads into immunology and its use in disease treatments. For instance, in 2022, the University of Texas MD Anderson Cancer Center announced the launch of a visionary research and innovation hub, the James P. Allison Institute, to find new roads in immunotherapy, develop new treatments, and foster groundbreaking science. These developments will result in better diagnosis through the use of selective biomarkers, and early detection of fatal diseases and their treatment, which will prevent complications from happening. Also, the identification of high-risk populations through a deeper understanding of genetic and environmental factors can assist in the prevention of disease through immunotherapy. The Way Forward Immunology has led to the development of biotechnology, making it possible to develop novel drugs and vaccines, as well as diagnostic tests, that can be used to prevent, diagnose, and treat a wide range of autoimmune, infectious, and cancerous diseases. With the rapid advancement in technology and the integration of artificial intelligence, immunology is finding its way into an array of domains and industries, encompassing several research areas including medicine, pharmaceuticals, agriculture, and space. Today, not only researchers but also leading biotech and pharmaceutical companies have recognized that conventional therapies with pharmaceutical and chemical products are being replaced by products derived from immunology. This is because they work well for health problems, are environmentally friendly, and are also emerging as a wealth-generating business in the medical field.

Read More
MedTech

2022 U.S. Market Research Report with COVID-19 Forecasts2

Article | July 20, 2022

The global biotechnology market is expected to grow at a compound annual growth rate (CAGR) of 13.9 percent from 2022 to 2030, with a value estimated at USD 1,023.92 billion in 2021. The market is being propelled by strong government support in the form of initiatives aimed at modernizing the regulatory framework, improving approval processes and reimbursement policies, and standardizing clinical studies. The growing presence of personalized medicine and an increasing number of orphan drug formulations are opening up new avenues for biotechnology applications and driving the influx of emerging and innovative biotechnology companies, which is driving market revenue even further. The 2022 Biotech Research and Development Market Research Report is one of the most comprehensive and in-depth assessments of the industry in the United States, containing over 100 data sets spanning the years 2013 to 2026. This Kentley Insights report contains historical and forecasted market size, product lines, profitability, financial ratios, BCG matrix, state statistics, operating expense details, organizational breakdown, consolidation analysis, employee productivity, price inflation, pay bands for the top 20 industry jobs, trend analysis and forecasts on companies, locations, employees, payroll, and much more. Companies in the Biotech Research and Development industry are primarily engaged in biotechnology research and experimental development. Biotechnology research and development entails the investigation of the use of microorganisms and cellular and bimolecular processes to create or modify living or non-living materials. This biotechnology research and development may result in the development of new biotechnology processes or prototypes of new or genetically altered products that can be replicated, used, or implemented by various industries. This report was created using the findings of extensive business surveys and econometrics. The professionals follow reports with accurate and apt information on market sizing, benchmarking, strategic planning, due diligence, cost-cutting, planning, understanding industry dynamics, forecasting, streamlining, gap analysis, and other ana

Read More
MedTech

Top 3 Biotech Clinical Data Management Trends to Watch in 2022

Article | September 22, 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.

Read More

Spotlight

Magenta Therapeutics

Magenta Therapeutics is a clinical-stage biotechnology company developing medicines to bring the curative power of stem cell transplant to more patients with blood cancers

Related News

The Power of Cannabis Hairs Revealed With Microscopy, Genetic Testing

LabRoots | November 01, 2019

A recent study from the University of British Columbia, published in The Plant Journal examined the hairs, or glandular trichomes, of cannabis plants. The structures and chemical outputs of various hairs were studied through microscopy and chemical profiling. The plant sample used was a quick-flowering variety of hemp Cannabis sativa known as “Finola.” The largest and mushroom-shaped “stalked” plant hairs were discovered to be the most potent; they produced the most THC- and CBD-forming metabolites and scent-producing terpenes. This fact has been previously suspected but unproven within the cannabis community. Earlier studies categorized the cannabis plant hairs as either bulbous, sessile or stalked, based on how they looked. But how they actually affected the strength of the plant’s effects was unknown. A gene expression analysis and UV light examinations helped the researchers to better understand the hairs’ properties. "We saw that stalked glandular trichomes have expanded ‘cellular factories’ to make more cannabinoids and fragrant terpenes. We also found that they grow from sessile-like precursors and undergo a dramatic shift during development that can be visualized using new microscopy tools,” co-lead author and Botany Ph.D. candidate Sam Livingston said.

Read More

Is There Really a Difference Between Indica and Sativa?

labroots | April 26, 2019

The idea that there are different strains, (Cannabis indica and Cannabis sativa), has almost become cannabis dogma. They look different, indicas are typically shorter and more scrub-like while sativas are taller. They came from different regions, indicas from Afghanistan and India and sativas from central America. They even are thought to have different effects. Indicas are thought to induce a sense of deep body relaxation, while sativas tend to produce an energizing experience. But is there any science to these claims? The idea that these strains are different species comes from the famous biologist Jean Baptiste Lamarck, known primarily being wrong about how species evolve. Lamark classified these strains as different species based primarily in the manner that we do today. According to an essay published by Jacob L. Erkelens and Arno Hazekamp in the journal Cannabinoids, Lamark distinguished the plant C. sativa, which was cultivated at the time, from a new variant of cannabis that grew wild in India, was thought to be a new species. In honor of the country that it came from, Lamarck called it C.indica (for India).

Read More

CanniMed Inks Canada’s First Pharmacy Cannabis Distribution Deal

biotech | March 02, 2017

This industry-leading collaboration will see CanniMed responsible for producing and delivering accredited pharmacy education programs to PharmaChoice pharmacists and pharmacy technicians across Canada. In addition, CanniMed and PharmaChoice intend to enter a definitive agreement for distribution of medical cannabis through PharmaChoice pharmacists in Canada upon completion of the first provincial legislation change that allows such distribution

Read More

The Power of Cannabis Hairs Revealed With Microscopy, Genetic Testing

LabRoots | November 01, 2019

A recent study from the University of British Columbia, published in The Plant Journal examined the hairs, or glandular trichomes, of cannabis plants. The structures and chemical outputs of various hairs were studied through microscopy and chemical profiling. The plant sample used was a quick-flowering variety of hemp Cannabis sativa known as “Finola.” The largest and mushroom-shaped “stalked” plant hairs were discovered to be the most potent; they produced the most THC- and CBD-forming metabolites and scent-producing terpenes. This fact has been previously suspected but unproven within the cannabis community. Earlier studies categorized the cannabis plant hairs as either bulbous, sessile or stalked, based on how they looked. But how they actually affected the strength of the plant’s effects was unknown. A gene expression analysis and UV light examinations helped the researchers to better understand the hairs’ properties. "We saw that stalked glandular trichomes have expanded ‘cellular factories’ to make more cannabinoids and fragrant terpenes. We also found that they grow from sessile-like precursors and undergo a dramatic shift during development that can be visualized using new microscopy tools,” co-lead author and Botany Ph.D. candidate Sam Livingston said.

Read More

Is There Really a Difference Between Indica and Sativa?

labroots | April 26, 2019

The idea that there are different strains, (Cannabis indica and Cannabis sativa), has almost become cannabis dogma. They look different, indicas are typically shorter and more scrub-like while sativas are taller. They came from different regions, indicas from Afghanistan and India and sativas from central America. They even are thought to have different effects. Indicas are thought to induce a sense of deep body relaxation, while sativas tend to produce an energizing experience. But is there any science to these claims? The idea that these strains are different species comes from the famous biologist Jean Baptiste Lamarck, known primarily being wrong about how species evolve. Lamark classified these strains as different species based primarily in the manner that we do today. According to an essay published by Jacob L. Erkelens and Arno Hazekamp in the journal Cannabinoids, Lamark distinguished the plant C. sativa, which was cultivated at the time, from a new variant of cannabis that grew wild in India, was thought to be a new species. In honor of the country that it came from, Lamarck called it C.indica (for India).

Read More

CanniMed Inks Canada’s First Pharmacy Cannabis Distribution Deal

biotech | March 02, 2017

This industry-leading collaboration will see CanniMed responsible for producing and delivering accredited pharmacy education programs to PharmaChoice pharmacists and pharmacy technicians across Canada. In addition, CanniMed and PharmaChoice intend to enter a definitive agreement for distribution of medical cannabis through PharmaChoice pharmacists in Canada upon completion of the first provincial legislation change that allows such distribution

Read More

Events