Using Patents To Identify Emerging Fields In Biomedical Engineering (original) (raw)

Patents and literature

Applied Biochemistry and Biotechnology, 1991

The objective of the Patents and Literature Section of Applied Biochemistry and Biotechnology is to summarize and cite recent developments in industrial and academic research as portrayed within the scope of recent patents and literature and to highlight emerging biotechnological research areas. To add to the value of this section of the journal, mini-reviews on a topic in biotechnology will be included. Fonowin8 each mini-review, a patent and literature search will be presented, much as before. The reviews will be authored by experts in the topic, who will also prepare the patent and literature searches. The manuscripts will be peer-reviewed. Reviews will be solicited by the Patents and Literature editor, but unsolicited submissions are also encouraged. However, please contact the Patents and Literature Editor regarding a topic of interest before commencing with the preparation of such a review.

PATENTING BIOINFORMATICS INNOVATIONS: EMERGING TRENDS AND CHALLENGES IN THE UNITED STATES

Bioinformatics tools and techniques are useful not only to manage and analyze vast amount of raw biological data generated from various genomics research but also to understand the phenomena of biological system at the macromolecular level. The development of bioinformatics has come a long way from DNA sequencing tools of the Human Genome Project (HGP) era to DNA circuits and programmable synthetic biological devices in the twenty first century. The present article attempts to analyze and reveal the emerging trends in bioinformatics and computational biology research and innovation and challenges in patenting them under the current US patent regime.

Early Identification of Patentable Medical Innovations

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018

There is considerable interest in developing methods for early detection of medical advances which are likely to lead to effective treatments. Because the number of potentially significant discoveries published each year is very large, practically-useful detection must be accomplished using computational models. This paper considers a key component of this detection process – early identification of patentable innovations – and presents a novel machine learning-based prediction model to perform the identification. Experiments demonstrate the efficacy of the proposed approach.

Innovations in Biomedical Engineering

Advances in Intelligent Systems and Computing, 2017

The series "Advances in Intelligent Systems and Computing" contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing. The publications within "Advances in Intelligent Systems and Computing" are primarily textbooks and proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and worldwide distribution. This permits a rapid and broad dissemination of research results.