Decoding the literature on genetic variation (original) (raw)

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.

Chapter 7. Scientific breakthroughs and Evolving practice in Patenting of genomic medicine

Biotechnology in Hong Kong, 2016

by Alice YT Wong and Nelson Tang Since DNA was discovered as the carrier of genetic information in 1953, we witnessed human genetics has evolved from the early period of trying to understand these codes to the era of personalized medicine today. Thanks to the Human Genome Project, HapMap Project and plenty of breakthroughs in the last two decades, we moved from the era of gene mapping of Mendelian diseases to Single Nucleotide Polymorphisms (SNPs), and from a piece of gene to the whole human genome. In this article, we will go through the sequential eras of human genetics and discuss key breakthroughs and patenting focus in the field of genomic medicine. A future perspective on upcoming development in genomic medicine with also be given at the end.

Mapping the Patent Landscape in the Field of Personalized Medicine

Journal of Pharmaceutical Innovation

Purpose This study aims to describe innovation profile in the field of personalized medicine. While the major market players have recognized the importance of personalizing health care as the next milestone towards improved clinical outcomes, a common framework has yet to emerge. In the absence of such governance framework, the practices of research and development can shape the progress of the field. The cognitive structure of the research and development in the personalized medicine is mapped by characterizing the attributes of underlying technological space. Methods By exploring the technological trajectory and emerging patterns of personalized medicine discerned in patenting activity and citation relations, a detailed picture of innovation in the field is obtained. Moreover, a topic modeling technique was applied to understand the emergence and institutionalization of new technological fields. Results The results show that the patent landscape is dominated by therapeutic patents used in the oncology and therapeutic areas of neurodegenerative and infectious diseases. Increase in funding for the proper cycling between research, clinical care, and cost management program would accelerate the adoption of precision medicine and promote the convergence of ITdriven data science and the traditional natural sciences. Conclusions This work offers a complementary perspective to the field of personalized medicine, focusing on the exploitation of patent information. We expect that systematic understanding of the technology landscape and evolving R&D process in the personalized medicine may help to provide insights for making future technology planning more rationally.

Patent Data for Comparative Study: Case study of Top Aspirants in Bioinformatics Industry

International Journal of Innovation

Innovation and technology are considered as a subject of success and achievement to the firm. The comparative study represents an essential procedure to identify the innovation and technological capabilities of major players involved in the bioinformatics related inventions. The aim of the research is to map out the top firms and identify their strategically important technologies. In view of this, the comparative analysis of major firms in bioinformatics industry is carried out using patent information. Herein the top three assignees are considered and based on this further analysis is performed. The top companies’ trend suggests that Thermo Fisher Scientific Inc. is the major player in bioinformatics research. Thus, we have tried to develop an overview on their patenting trend and important concerned areas of research. Also, our results indicate that the application of computational tools is being utilized for most of the research areas like the study of genomics and proteomics, s...

A landscape of bioinformatics patents - Garnering of IPR in the field of bioinformatics

World Patent Information, 2017

In the current information technology era, Bioinformatics is growing rapidly due to availability of vast database systems and the ever increasing amount of biological data. It is a flexible and creative means of storing, managing, and querying of complex biological datasets. With these rapid advancements in today's technology-driven age, it is also imperative that protection in the form of Intellectual Property Rights (IPR) is sought for such research and development activity. In addition, there is a need to formulate an aggressive strategy to protect one's IP. In fact, various companies', universities', institutions' and researchers' are into the process to protect their core invention. This landscape will give an outline of the latest technological growth, geographical distribution, and top competitors playing an important role in this field.

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.

Using Patents To Identify Emerging Fields In Biomedical Engineering

2003 Annual Conference Proceedings

Patents are a rich source of information for educating students on emerging fields in biomedical engineering. Since 80% of the information in patents is not published elsewhere, faculty should seriously consider including patent instruction in their courses. Patents may be the first and only place that innovations are detailed. Protecting patent rights may preclude presenting and publishing cutting edge information in journal articles and conference papers. This paper covers U.S. issued patents and published applications as well as world patents and applications. Free databases available on the World Wide Web will be emphasized. Classification systems that are discussed include United States, International, and European. Known inventors and assignees are also discussed. Search examples are shown.

PATENTING GENOMICS INNOVATIONS:POST-MYRIAD CHALLENGES AND POSSIBILITIES .

Patenting gene and its nucleotide sequence has been a controversial subject since the release of working draft ofthe Human Genome Project. A number of US Supreme Court judgmentspronounced in the recent past and accordingly revisedpatent examination strategies of the United States Patent and Trademark Office (USPTO)created a huge confusion in the field of biotechnology. The present article explores the volatile nature of judicial decision-making inmodern biotechnology arena and attempts to analyze and gaugethe practical impact of the landmark judgment of Association for Molecular Pathology v. Myriad genetics Inc. The present article also reveals how the Myriadjudgmentchanged the USPTO’s long-standing practice of granting patents on isolated DNA molecules and set a new patent-eligibility standard for genes and DNA related innovations. The present article also endeavors to investigate the challenges and possibilities of patenting isolated proteins, sequence homology and protein three-dimensional structure based innovations in post-Myriad US patent regime.