Biotech Startups And The Hard Truth Of Innovation

Gary Pisanos recent Harvard Business Review piece, The Hard Truth About Innovative Cultures, beautifully frames up how innovative corporate environments are frequently misunderstood. Innovative startups arent just about being cool and nimble, having beer taps in the kitchen, or an endless bounty of swag. Pisano sums up the harder, harsher reality of truly innovative environments: These cultures are not all fun and games.Pisanos piece struck a huge chord with my own experience working with both large pharma and small startups over the past 20 years.  And many of the observations are in line with my post from July 2017 on Distinctive Biotech Corporate Cultures.

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Iluma Alliance

Iluma Alliance is the union of more than 800 people who have decided to invest their time, intellect, capabilities, energy, and existence for one purpose: nurturing well-being to enhance life. Our dream is to impact people’s lives and bring nutrition and wellness to the world. We do this motivated by our endless curiosity and through the use of knowledge, technology, and innovation.

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Medical

Data Analytics: A Groundbreaking Technology in Biotech

Article | August 16, 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.

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Medical

Advancement in Genomics Accelerating its Penetration into Precision Health

Article | July 14, 2022

Genomics is an interdisciplinary field of biology emphasizing the structure, editing, evolution, function, and mapping of genomes. It is creating deeper inroads across the precision health domain with the increasing introduction of advanced technologies such as quantum simulation, next-generation sequencing (NGS), and precise genome manipulation. As precision health focuses on providing the proper intervention to the right patient at the right time, genomics increasingly finds applications in human and pathogen genome sequencing in clinical and research spaces. Rising Hereditary Diseases Burden Paving the Way for Genomics in Precision Health In the last few years, a significant surge in the prevalence of diseases and ailments such as diabetes, obesity, baldness, and others has been witnessed across the globe. A history of family members with chronic diseases, such as cancer, diabetes, high blood pressure, hearing issues, and heart disease, can sometimes continue into the next generation. Hence, the study of genes is extensively being conducted for predicting health risks and early treatment of these diseases. It also finds use in CRISPR-based diagnostics and the preparation of precision medication for the individual. In addition, ongoing advancements in genomics are making it possible to identify different genetic traits that persuade people to more widespread diseases and health problems. The Emergence of Genomics Improves Disease Understanding Genomics refers to the study of the complete genetic makeup of a cell or organism. Increasing scientific research in the area substantially contributes to increasing knowledge about the human genome and assists in improving the ability to understand disease etiology, risk, diagnosis, treatment, and prevention. On account of these improvements, innovative genomic technologies and tools are being developed to enable better precision health not only for the individual but for various regional populations as well. The Way Forward With growing preference for personalized medicine and an increasing need for more accurate pathogen detection and diagnostics, genomics is gaining huge popularity across the precision health domain. Also, increasing research activities for developing novel high-precision therapeutics and rising importance of gene study in the prevention, diagnosis, and management of infectious and genetic diseases will further pave the way for genomics in the forthcoming years.

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MedTech

Making Predictions by Digitizing Bioprocessing

Article | July 12, 2022

With advances in data analytics and machine learning, the move from descriptive and diagnostic analytics to predictive and prescriptive analytics and controls—allowing us to better forecast and understand what will happen and thus optimize process outcomes—is not only feasible but inevitable, according to Bonnie Shum, principal engineer, pharma technical innovation, technology & manufacturing sciences and technology at Genentech. “Well-trained artificial intelligence systems can help drive better decision making and how data is analyzed from drug discovery to process development and to manufacturing processes,” she says. Those advances, though, only really matter when they improve the lives of patients. That’s exactly what Shum expects. “The convergence of digital transformation and operational/processing changes will be critical for the facilities of the future and meeting the needs of our patients,” she continues. “Digital solutions may one day provide fully automated bioprocessing, eliminating manual intervention and enabling us to anticipate potential process deviations to prevent process failures, leading to real-time release and thus faster access for patients.” To turn Bioprocessing 4.0 into a production line for precision healthcare, real-time release and quickly manufacturing personalized medicines will be critical. Adding digitization and advanced analytics wherever possible will drive those improvements. In fact, many of these improvements, especially moving from descriptive to predictive bioprocessing, depend on more digitization.

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MedTech

Immunology: A New Frontier in Medical Science

Article | July 16, 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.

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Spotlight

Iluma Alliance

Iluma Alliance is the union of more than 800 people who have decided to invest their time, intellect, capabilities, energy, and existence for one purpose: nurturing well-being to enhance life. Our dream is to impact people’s lives and bring nutrition and wellness to the world. We do this motivated by our endless curiosity and through the use of knowledge, technology, and innovation.

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Transcriptomic Switch Turns Healthy Liver Tissue Cancerous

Technology Networks | December 17, 2019

By combining RNA sequencing, bioinformatics and mathematical modeling, University of California San Diego School of Medicine and Moores Cancer Center researchers identified a sudden transcriptomic switch that turns healthy liver tissue cancerous. The finding was used to develop a quantitative analytical tool that assesses cancer risk in patients with chronic liver disease and to predict tumor stages and prognosis for patients with liver cancer. In the December 16, 2019 online edition of the Proceedings of the National Academy of Science (PNAS), Gen-Sheng Feng, PhD, professor of in the Department of Pathology and Section of Molecular Biology, Division of Biological Sciences at UC San Diego, and team describe developing a tumorigenic index score that identifies a shift from healthy to malignant cells

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Transcriptomic Switch Turns Healthy Liver Tissue Cancerous

Technology Networks | December 17, 2019

By combining RNA sequencing, bioinformatics and mathematical modeling, University of California San Diego School of Medicine and Moores Cancer Center researchers identified a sudden transcriptomic switch that turns healthy liver tissue cancerous. The finding was used to develop a quantitative analytical tool that assesses cancer risk in patients with chronic liver disease and to predict tumor stages and prognosis for patients with liver cancer. In the December 16, 2019 online edition of the Proceedings of the National Academy of Science (PNAS), Gen-Sheng Feng, PhD, professor of in the Department of Pathology and Section of Molecular Biology, Division of Biological Sciences at UC San Diego, and team describe developing a tumorigenic index score that identifies a shift from healthy to malignant cells

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