MedTech
Article | October 7, 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
Article | July 11, 2022
Genetic therapeutics such as genetic engineering and gene therapy are increasingly emerging as one of the most influential and transformed biotechnological solutions around the globe in recent times. These genetic solutions are being assessed across various medical domains, including cancer treatment, neurology, oncology, and ophthalmology. Citing the trend, the genetics industry is estimated to experience a tsunami of approvals, with over 1,000 cell and gene therapy clinical trials currently underway and over 900 companies worldwide focusing on these cutting-edge therapies.
Growing Cancer Encourages Advancements in Genetic Technologies
With the surging cases of cancers such as leukemias, carcinomas, lymphomas, and others, patients worldwide are increasing their spending on adopting novel therapeutic solutions for non-recurring treatment of the disease, such as gene therapy, genetic engineering, T-cell therapy, and gene editing.
As per a study by the Fight Cancer Organization, spending on the treatment of cancer increased to $200.7 billion, and the amount is anticipated to exceed $245 billion by the end of 2030.
Growing revenue prospects are encouraging biotechnology and biopharmaceutical companies to develop novel genetic solutions for cancer treatment. For instance, Bristol-Myers Squibb K.K., a Japanese pharmaceutical company, introduced a B-cell maturation antigen (BCMA)-directed chimeric antigen receptor (CAR) T cell immunotherapy, Abecma, for the treatment of relapsed or refractory (R/R) multiple myeloma in 2022.
Amid a New Market: Genetics Will Attract Massive Investments
Despite several developments and technological advancements, genetics is still considered to be in a nascent stage, providing significant prospects for growth to the companies that are already operating in the domain.
Genetics solutions such as gene therapies, gene editing, and T-cell immunotherapy are emerging as highly active treatments across various medical fields, resulting in increasing research and development activities across the domain, drawing significant attention from investors. Given the potential of genetic treatments and the focus on finding new ways to treat cancer and other related diseases, it's easy to understand why companies are investing in the domain.
For instance, Pfizer has recently announced an investment of around $800 million to construct development facilities supporting gene therapy manufacturing from initial preclinical research through final commercial-scale production.
Due to these advancements, cell and gene therapies are forecast to grow from $4 billion annually to more than $45 billion, exhibiting growth at a 63% CAGR.
The Future of Genetics
Though there is a significant rise in advancement in genetic technologies and developments, the number of approved genetic treatments remains extremely small. However, with gene transfer and CRISPR solutions emerging as new modalities for cancer treatment, the start-up companies will attract a growing amount and proportion of private and public investments.
This is expected present a tremendous opportunity for biopharma and biotechnology investors to help fund and benefit from the medical industry's shift from traditional treatments to cutting-edge genetic therapeutics in the coming years.
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MedTech
Article | July 16, 2022
The robust global channel of more than, 800 gene and cell curatives presently in trials will produce clinical readouts in 2022, revealing what lies ahead for advanced curatives. The impact will be felt in 2022, no matter how you slice it. Eventually, how well industry and non-supervisory bodies unite to produce new frameworks for advanced therapies will shape the year 2022 and further.
Pacific Northwest talent will continue to contribute to the advancement of gene and cell curatives in both the short and long term, thanks to its deep pool of ground-breaking scientific developers, entrepreneurial directorial leadership, largely skilled translational scientists, and endured bio manufacturing technicians.
We may see continued on-life science fund withdrawal from biotech in 2021, but this can be anticipated as a strong comeback in 2022 by biotech industry, backed by deep-pocketed life science investors who are committed to this sector. A similar investment, combined with pharma's cash-heavy coffers, can result in increased junction and acquisition activity, which will be a challenge for some but an occasion for others.
Over the last five years, investment interest in Seattle and the Pacific Northwest has grown exponentially, from Vancouver, British Columbia, to Oregon. The region's explosive portfolio of new biotech companies, innovated out of academic centres, demonstrates the region's growing recognition of scientific invention. This created a belief that continued, especially because Seattle's start-ups and biotech enterprises are delivering on their pledge of clinical and patient impact.
Talent and staffing will continue to be difficult to find. It's a CEO's market, but many of these funds' return, and are not rising in proportion to the exorbitant prices they're paying to enter deals. This schism has become particularly pronounced in 2021. Hence, everyone in biotech is concerned about reclamation and retention.
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MedTech
Article | July 20, 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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