WELCOME TO The Biotechnology REPORT
Contribution of Biotech Crops to Sustainability
| January 3, 2017
Bioceros is one of Europe’s premier providers of GMP-ready protein producing cell lines that operates from within the PolPharma Group.
Article | February 24, 2020
The year 2020 marks a decade since the term pharmacomicrobiomics was coined (Rizkallah et al., 2010) to crystallize a century-old concept of mutual interactions between humans, drugs, and the microbial world. The human microbiome, with its immense metabolic potential that exceeds and expands the human metabolic capacities, has the ability to modulate pharmacotherapy by affecting both pharmacokinetics and pharmacodynamics of drug molecules:
Article | April 9, 2020
Pfizer and BioNTech plan to begin human clinical trials on their lead COVID-19 therapeutic candidate, an mRNA vaccine, by the end of this month, the companies said today, through a collaboration that could generate up to $748 million for the German biotech. The companies announced plans last month to partner on BNT162, the first treatment to emerge from BioNTech’s accelerated COVID-19-focused development program, “Project Lightspeed.” BioNTech and Pfizer established collaboration intended to draw upon BioNTech’s proprietary mRNA vaccine platforms, and Pfizer’s expertise in vaccine research and development, regulatory capabilities, and global manufacturing and distribution network.
Article | April 3, 2020
The integration of artificial intelligence within life sciences is making drug discovery and development more innovative, less labor intensive and more cost-effective, says Deloitte’s annual global outlook. According to Deloitte’s 2020 Global Life Sciences Outlook, the biotech sector is at an inflection point. To prepare for the future and remain relevant in the ever-evolving business landscape, biopharma and medtech organizations will be looking for new ways to create value and new metrics to make sense of today’s wealth of data, the report overview says. As data-driven technologies provide biopharma and medtech organizations with treasure troves of information, and automation takes over some mundane tasks, new talent models are emerging based on purpose and meaning. The integration of artificial intelligence (AI) and machine learning approaches within life sciences is making drug discovery and development more innovative, time-effective and cost-effective, the Deloitte report states.
Article | April 20, 2021
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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