OBJECTIVES/GOALS: Utilize polymer-based fiber scaffolds and machine learning methods applied to patient biomarker data to enhance and personalize T cell expansion and production for T cell therapy in chronic lymphocytic leukemia.METHODS/STUDY POPULATION: Scaffolds are 1) generated from a co-polymer blend of PDMS and PCL with controlled fiber diamet
Introduction: The problem of counterfeiting of drugs is assuming alarming proportions and is getting difficult to combat due to its trans-national character.It is undermining the faith of people on health care system.Therefore, there is a need to adopt zero tolerance approach to combat the problem.The Way Forward: There are many solutions available
During the past decades, convolutional neural network (CNN)-based models have achieved notable success in remote sensing image classification due to their powerful feature representation ability.However, the lack of explainability during the decision-making process is a common criticism of these high-capacity networks.Local explanation methods that
Leukaemia accounted for approximately 2.5% of all new cancer incidence and 3.1% of cancer-related mortality.The investigation of its risk factors and epidemiologic trends could help describe the geographical distribution and identify high-risk population groups.This study aimed to evaluate the global incidence, mortality, associated risk factors, a
Penggunaan media pembelajaran saat ini telah berkembang pesat.Dewasa ini banyak penelitian yang menggunakan komputer sebagai media pembelajaran yang adaptif bagi mahasiswa; salah satu contohnya adalah hypermedia learning environment (HLE).Media HLE dikembangkan untuk membantu mahasiswa dalam belajar, misalnya pada situasi pandemi COVID-19 saat ini,