Preliminary Program
| 19 September 2021: | Workshops | ||
| 20 September 2021: | Conference sessions | ||
| 21 September 2021: | Conference sessions | ||
| 22 September 2021: | Conference sessions |
Plenary talks
BMS2021 features interdisciplinary plenary talks:
Title: The Role of Bioengineering Innovation in (Rapid) Pandemic Response
Geoffrey Chase,
University of Canterbury, Department of Mechanical Engineering
Biography: Professor Chase received his B.S. from Case Western Reserve University in 1986, with M.S. and PhD from Stanford University (1991, 1996). He spent 6 years working for General Motors and a further 5 years in Silicon Valley, including Xerox PARC, ReSound, Hughes Space and Communications, and Infineon Technologies, before joining the University of Canterbury in 2000, where he is currently its inaugural Distinguished Professor. His research focuses on the intersection of engineering and clinical medicine, primarily in intensive care, metabolic disease in all units, and cardio-pulmonary diseases. These efforts have led to a range of model-based systems to improve care and outcomes, and reduce costs, which are in clinical trials or standard of care use. Dr. Chase has published over 1500 journal and conference papers and 17 US and European patents. He founded 3 startup companies, and is a Fellow of the Royal Society of NZ (FRSNZ), the American Society of Mechanical Engineers (FASME) and IPENZ (FIPENZ).
Abstract: Bioengineers play a crucial role in improving medical care and practice via innovation. Innovation is most frequently driven by need or insufficiency. This plenary talk presents a case study of control engineering in the response to the Covid-19 pandemic. These case studies cover how to use control engineering and dynamics to address Covid pandemic issues. First, where ventilator equipped beds are insufficient to demand, to avoid having to deny care, and, secondly, how to use innovation. The second considers the use of bioengineering to address diagnostic concerns resulting from universal masking mandates, while also creating potential next-generation medical devices. These case studies are used to illuminate key areas where bioengineers can have outsize impact on care and outcomes in emergency situtations.
Title: to be announced
Andrea De Gaetano,
National Research Council of Italy, Biomathematics Laboratory
Biography: to be announced
Abstract: to be announced
Title: Personalized Cancer Therapy by Model-based Optimal Robust Control Algorithm
Levente Kovacs,
Obuda University, Department of Physiological Controls Research Center
Biography: Professor Levente Kovacs is teh rector of Óbuda University, Hungary. He is the holder of the prestigious ERC Starting Grant on Tamed Cancer research. His research interests are also in the area of physiological control systems, including the creation of artificial organs and control systems for them. He is also a professor of the Physiological Controls Research Center (PhysCon) with focus on the interdisciplinary field of biomedical engineering mostly on the physiological modeling, simulation and control domain, efficiently supporting the progress of medical science (both in terms of research and clinical practice) with actual knowledge of engineering sciences. The most important research domains of his team are connected to diabetes (artificial pancreas), hemodialysis, biostatistics (evidence-based medicine), cancer, where in case of the last one it is recipient of the EU's ERC StG grant.
Abstract: In conventional cancer therapies the doses are chosen to be as high as possible to maximize the effect of the drug and minimize the chance of the development of drug resistance. Although, this approach increases side effects and costs. Personalizing treatments could result in a therapy with smaller doses but the same effect, resulting in smaller costs for the drug and fewer side effects. We have developed tumor models based on ordinary differential equations for several mice models, for angiogenic inhibitor and also for cytotoxic drugs. Also, we have developed control algorithms focusing on problems specific to physiological control, such as inter- and intrapatient variability, positivity, and impulsive nature of the control input. In silico tests proved that our algorithms are suitable for optimizing therapies demonstrated on animal experiments as well.
Title: Towards Industry 4.0 and Continuous Pharmaceutical Manufacturing
Ioana Nascu ,
University of Surrey, Department of Chemical and Process Engineering
Biography: Postdoctoral Research Associate at Texas A&M and Eli Lilly and Co with a strong background in Control Engineering, Chemical Engineering - Process Systems Engineering (PhD) and Biomedical Process Control. My expertise lies in areas such as modeling, optimization and control, multiparametric programming advanced estimation techniques, hybrid systems, I have applied my experteeste for various systems such as: biomedical systems, Pharmaceutical processes and wastewater treatment systems among other. I have worked on a number of projects that broadened my expertise in different areas, which required a close collaboration with different universities, departments and companies as part of EU, and projects founded by industry. Moreover, I have been a teaching assistant and given courses as well as practical laboratories in: Process Instrumentation; Continuous Process Control; Advance Process Optimization and Numerical Methods.
Abstract: 'The pharmaceutical industry has a little secret: Even as it invents futuristic new drugs, its manufacturing techniques lag far behind those of potato-chip and laundry-soap makers'. This is a famous quote from a WSJ article that pointed out the state of manufacturing of pharmaceutical products until the beginning of this century. Due to the complex nature of pharmaceutical materials, there has always been a gap between fundamental science and applied engineering. Pharmaceutical plants are required to operate with very strict product quality specifications and deal with complex and highly integrated processes, varying production targets and incoming material variability. Therefore, there is a great need to adopt manufacturing innovations that can rise quality standards while lowering time, effort and cost of the manufacturing. Industry 4.0 (Smart Manufacturing) emerged as a manifestation of cultural and mindset change across multiple industries leading to highly automated and data-rich systems for manufacturing by integrating digital tools in process design and operations. Applied to the pharmaceutical systems, this will facilitate the implementation of continuous manufacturing as well as real-time release testing by being able to track product quality in real-time. This will lead to the release of life critical medication with reduced off-line quality testing compared to existing practices. For this to succeed an appropriate infrastructure for Information and Operations Technology integration is needed along with systematic integration of product and process knowledge, instrumentation and automation systems, quality control protocols and real-time process management for a solids processing system handling pharmaceutical materials.
Title: Closed-loop control of anesthesia: a help for the anestesiologists
Biographies:
Nicola Latronico,
University of Brescia, Department of Medical and Surgical Specialties, Radiological Sciences and Public Health
Nicola Latronico is full professor of anesthesia and critical care medicine at the Department of Medical and Surgical Specialties, Radiological Sciences and Public Health of the University of Brescia. He is also clinical director of the University Division of Anesthesia and Critical Care Medicine of the Brescia Hospital of Brescia. He has been director of the School of Specialty in Anesthsia, Critical Care and Pain Medicine from 2012 to 2018, vice-president of the Italian National Society of Anesthesia, Critical Care and Pain from 2015 to 2018 and president of the Brescia Ethics Committee from 2017 to 2020. His main research interests are in ICU-acquired neurological disorders, long-term consequences of critical illness, neurocritical care, neurotrauma, sepsis and multiple organ dysfunction syndrome, evidence based medicine, ethics.
Massimiliano Paltenghi ,
Brescia Hospital, Department of Anesthesiology
Massimiliano Paltenghi is an anesthesiologist at the Brescia Hospital with fifteen years of practice experience, using of the latest industry equipment and technology. He has been the supervisor of medical students, fellows, and residents. He has also been the author or co-author of several medical articles on current anaesthesia techniques that has been published in professional journals. From 2019 he is also operating room manager, so that he is in charge of the supervision of the planning, implementation and evaluation of patient care programs for the perioperative patient population, working with associated services and clinics as appropriate. He is the principal medical investigator of the ACTIVA project.
Antonio Visioli ,
University of Brescia, Department of Mechanical and Industrial Engineering
Antonio Visioli is a full professor of control systems at the Department of Mechanical and Industrial Engineering, University of Brescia, Italy, where he leads the industrial control systems research group. His research interests include anesthesia control, industrial controllers, mechatronics, dynamic inversion based control, fractional control. He has edited one book and authored or co-authored three monographs, one textbook and more than 300 papers in international journals and conference proceedings. He is the vice-chair of the IFAC Technical Committee on Education and a member of the IFAC Technical Committee on Biological and Medical Systems. In 2014 he started the ACTIVA project in cooperation with anesthesiologists of the University of Brescia and of the Brescia Hospital, in order to develop a control system for general anesthesia in operating rooms.
Abstract: Engineering tools can be helpful for clinical anesthesiologists to maintain optimal safety and efficiency, in particular when the available resources are scarce compared to number of patients, as for example during the COVID-19 pandemic.
Among these tools, closed-loop control of general anesthesia has attracted a lot of research interest in the last decades. In this talk we will present the methods and the results of the ACTIVA (Automatic Control of
Total IntraVenous Anesthesia) project, which has been developed as a cooperation between the University of Brescia and the Brescia Hospital in Italy. The aim is to control the depth of hypnosis, measured through the BIS signal, obtained by co-administering propofol with a portent narcotic agent, the remifentanil. Practical issues in the design as well as in the implementation of the controller will be discussed, showing that the system may have practical application in daily practice contributing to high patients safety during surgical anesthesia.
Title: to be announced
Thomas De Beer ,
Ghent University, Department of Pharmaceutical Process Analytical Technology
Biography: to be announced
Abstract: to be announced
Title: to be announced
Martine Neckebroek ,
Ghent University Hospital, Department of Anesthesiology
Biography: Dr MD Martine Neckebroek postgraduated in algology and was anesthesiologist in Hospital Aalst-Asse-Ninove area for 8 years, with applications in anesthesiology, emergency medicine and intensive care. She followed a 16 years specialisation traject in the field of Anesthesiology. Since 2006 she is anesthesiologist at Ghent University Hospital, with expertise in pediatric anesthesia, difficult airway risk patients and intensive care. She is the vice-director of the Department of Anesthesiology at Ghent University Hospital. Her research interest is on automated anesthesia with computer based optimization algorithms and she is principal investigator in clinical trials for analgesia modelling, enrolled for doctoral degree at Ghent University.
Abstract: to be announced
