WELCOME TO The Biotechnology REPORT
Advanced HDX-MS and Native-MS Approaches for Improved Biologic Candidate Selection and De-Risked CMC and Clinical Development Programs
| January 14, 2019
Agfa HealthCare, present in 1 hospital out of 2, is a leading provider of Healthcare IT & Digital Imaging solutions
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.
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.
World traveler‘s will rejoice at the idea of a seemingly magical device that would guarantee they never suffer from the all-too-familiar stomach issues that come from traveling internationally while reducing jet lag at the same time. But it’s not just privileged globetrotters that would benefit from a device that eliminates the bacteria associated with the so-called Montezuma’s Revenge. In 2016, more than 230,000 children around the world died from some of the same types of bacteria as those that cause traveler’s diarrhea, and the bacteria mainly come from unsafe “drinking water, poor sanitation and malnutrition,” according to Oxford University’s Our World In Data portal. On Monday, DARPA announced it was researching an “implantable or ingestible bioelectronic carrier” that would eliminate the five major bacteria associated with traveler’s diarrhea.
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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