Cell-culture bioreactors lie at the heart of the processes used to produce large-molecule, protein-based therapeutics. In cell culture, mammalian cells are grown outside the human/plant body. These cells produce therapeutic proteins and antibodies. This is much easier said than done. In fact, cells do not cooperate much when they are grown outside the (human or plant) body. The question then is: Why is it so difficult for cells in culture to have the same physiological function in laboratory as in our body? Continue reading
On September 11th to 13th, I will be traveling to Washington, DC to present at the Frontiers in Medical Devices conference which ANSYS is helping to sponsor. The FDA and ASME are co-sponsoring this event that is focused on the application of computer modeling and simulation in the biomedical industry.
This conference is designed to present new research, foster discussion of the barriers to implementation of computer modeling and to promote the use of modeling for medical device applications. Conference tracks range from patient-specific to population modeling, and from novel computational methods to computational models as medical devices. Continue reading
My five year old came home from school the other day talking about how the shortest distance between two points is a straight line. That got me thinking about how a straight line might be the most direct route, but it’s not always the best one. For example, pilots fly around large thunderstorms because it is safer for the passengers…and the crew! So safety becomes the over-arching factor when determining the flight plan, even if the diversion uses a little more gas.
Medical devices are in a similar position of requiring a consideration of human lives. Therefore, linear thinking is probably not good enough when developing a new device. We must transition to the non-linear realm if we are to bring the safest devices to market.
Non-linear analysis will allow us to make great leaps forward in our understanding of device performance. But this will require us to cope with modeling complexities that may or may not have been dealt with in the past. Let me mention three typical sources of non-linear complexities: Continue reading