Biomedical Engineering and Bioengineering Commons^™

Novel Approaches For Enhancing Cell Survival And Function In Vivo, Ou Wang

Department of Chemical and Biomolecular Engineering: Theses and Student Research

FDA has approved several cell-based therapeutics and hundreds of cell therapy clinical trials are ongoing. Cells will be a significant type of medicine after small molecule and protein drugs. However, several obstacles need to be addressed to achieve the widespread use of cellular therapeutics. The first challenge is the low efficacy of cell transplantation due to low retention, survival, integration, and function of cells in vivo. The second challenge is producing a massive number of cells for clinical treatment with cost-effectively and reproducibly technologies.

In this thesis, we proposed and investigated two approaches to address these challenges. To begin …

Scientific Mapping Of Research On Digital Pulmonary Function Test: A Bibliometric Analysis, Aditya Kekre Mr., Ashutosh Desai Mr., Ashwin Sujit Mr., Dhruv Dewett Mr., Shilpa Hudnurkar Prof.

Library Philosophy and Practice (e-journal)

Digital Pulmonary Function Test (PFT) is a non-invasive test that helps in evaluating the efficiency of a patient’s lungs. The test is key to keeping tabs on a patient’s health that may be suffering from Chronic Obstructive Pulmonary Disease, Asthma, Restrictive Respiratory Disease, etc, as pollution increases day by day in the world the amount of people getting affected from it and being diagnosed with respiratory diseases the importance of PFT continues to grow. The Scopus database has been used exclusively for this analysis. A key observation of this survey has been that engineering and medicine have gone hand in …

Bibliometric Review On Applications Of Disease Detection Using Digital Image Processing Techniques, Jayant Jagtap, Rahil Sharma, Aryan Sinha, Nikhil Panda, Amulya Reddy

Library Philosophy and Practice (e-journal)

Advances around the field of deep learning and cognitive computing have allowed mankind to look and solve the problems of the world in a completely new way. Deep learning has been making huge advancements in the field of healthcare, which most importantly focuses upon disease detection and disease prediction. Techniques such as these have been conceptualized the idea of early detection and economical ways of treating the predicted disease in particular. Still, it has been observed that there seems to be no change in the way diagnosis of a particular disease takes place even in the 21^st generation of …