Making Knowledge and Making Drugs? Experimenting with University Innovation Capacity

The innovation process for novel medical therapies needs repair. The United States spends more than ever before on drug discovery without a corresponding increase in new medical therapies

Health System Reform: The Value and Price of Innovation

Explores the role of innovation in healthcare by reviewing the literature on international, federal, state, and local examples of system change; barriers to change; the contributions of research, academia, and industry; and the financing of innovation

Advancing medical technology innovation and clinical translation via a model of industry-enabled technical and educational support: Indiana Clinical and Translational Sciences Institute’s Medical Technology Advance Program

The success rate for translation of newly engineered medical technologies into clinical practice is low. Traversing the “translational valleys of death” requires a high level of knowledge of the complex landscape of technical, ethical, regulatory, and commercialization challenges along a multi-agency path of approvals. The Indiana Clinical and Translational Sciences Institute developed a program targeted at increasing that success rate through comprehensive training, education, and resourcing. The Medical Technology Advance Program (MTAP) provides technical, educational, and consultative assistance to investigators that leverages partnerships with experts in the health products industry to speed progress toward clinical implementation. The training, resourcing, and guidance are integrated through the entire journey of medical technology translation. Investigators are supported through a set of courses that cover bioethics, ethical engineering, preclinical and clinical study design, regulatory submissions, entrepreneurship, and commercialization. In addition to the integrated technical and educational resources, program experts provide direct consultation for planning each phase along the life cycle of translation. Since 2008, nearly 200 investigators have gained assistance from MTAP resulting in over 100 publications and patents. This support via medicine–engineering–industry partnership provides a unique and novel opportunity to expedite new medical technologies into clinical and product implementation

Advocacy spurs innovation: promoting synergy between physical and biomedical sciences

Despite dramatic advances in decoding the genes, proteins, and pathways that drive cancer, the disease has evaded the reductionist approaches to defeat it. Recent work has highlighted cancer’s heterogeneity, complexity, and ability to develop resistance as major barriers to progress. To better understand and control the processes that govern the initiation, behavior, and progression of cancer, the National Cancer Institute (NCI) created the Physical Sciences-Oncology Center (PS-OC) Network in 2009. As a hub for scientific innovation and as an example of the transdisciplinary research model, the twelve centers within the PS-OC strive for the systematic convergence of the physical sciences with cancer biology. Promoting collaboration between biologists, physicists, mathematicians, chemists, biomedical engineers, and oncologists, the program offers a compelling vision of how new frontiers in physical sciences and oncology will permit the emergence of new scientific principles and opportunities, and of how the benefits of the current convergence revolution would be enhanced by vigorous public/advocacy support

A Review of the Institute of Medicine’s Analysis of using Chimpanzees in Biomedical Research

We argue that the recommendations made by the Institute of Medicine’s 2011 report, Chimpanzees in Biomedical and Behavioral Research: Assessing the Necessity, are methodologically and ethically confused. We argue that a proper understanding of evolution and complexity theory in terms of the science and ethics of using chimpanzees in biomedical research would have had led the committee to recommend not merely limiting but eliminating the use of chimpanzees in biomedical research. Specifically, we argue that a proper understanding of the difference between the gross level of examination of species and examinations on finer levels can shed light on important methodological and ethical inconsistencies leading to ignorance of potentially unethical practices and policies regarding the use of animals in scientific research

Awareness of Opportunities and Challenges Related to Artificial Intelligence in Health Sector of Developing Economies: Systematic Review Analysis

Purpose: Given the proper implementation of Artificial Intelligence (AI) technology, administrative and medical processes in the health sector of countries with low incomes can change quickly. This modification highlights the crucial influence of AI on a variety of health sector processes. Previous research indicates that AI may improve the standard of medical treatments. According to reports, AI technologies make life better for people by making it simpler, safer, and more productive. This study sought to identify the most significant potential and difficulties related to the application of AI in the health sector of emerging economies. Method: A thorough systematic literature review analysis was conducted using a total of 6 databases (Web of Science, ACM Digital, Science Direct, Emerald, IEEE, and Scopus). The selection was narrowed down to 49 articles after careful consideration in order to complete the review on potential AI possibilities and challenges that the health sector of developing economies need to be aware of.Results: The study found five major obstacles connected with AI adoption that requires attention in developing nations' health sectors: a lack of infrastructure, a lack of AI capabilities and skills, data integration, security, privacy, and legal concerns, as well as patient safety. The research also revealed six AI potentials that can aid the developing economy's health sector, including data exchange and availability, workflow management, cost reduction, resource management, professional training, and autonomous decision-making. It was discovered that AI has the ability to significantly outperform humans in terms of accuracy, efficiency, and timeliness of medical and associated administrative activities. Keywords: Artificial Intelligence, Opportunities, Challenges, Health Sector, Developing Economies, PRISMA DOI: 10.7176/CEIS/14-3-03 Publication date:August 31st 2023

Preparedness of the CTSA's Structural and Scientific Assets to Support the Mission of the National Center for Advancing Translational Sciences (NCATS)

The formation of the National Center for Advancing Translational Sciences (NCATS) brings new promise for moving basic and discoveries to clinical practice, ultimately improving the health of the nation. The CTSA sites, now housed with NCATS, are organized and prepared to support in this endeavor. The CTSAs provide a foundation for capitalizing on such promise through provision of a disease-agnostic infrastructure devoted to C&T science, maintenance of training programs designed for C&T investigators of the future, by incentivizing institutional reorganization and by cultivating institutional support