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Friday 3 November

Starts at 09:00

Decoding the Gray Shades of Patent White Space Analysis

White space mapping helps businesses discover unserved markets that hold potential but do not have any products or services yet. With patents, the goal is to find promising technology areas where patents can be filed in order to strengthen ones portfolio or purely to block others. As the practice is not new, several techniques and visualizations are being used for Patent White space analysis. Using 3D Printing as an example, this presentation will focus on pitfalls in various approaches and recommend best practices for aligning the outcome of the white space analysis to your business objectives.

China: Life after the Patent Tsunami

China has grown to the largest publishing authority. However, the question has been whether this was real or inflated. As we are now starting to learn that it was in fact inflated, times will be changing. With a continuing challenge of keeping up high volumes of publications, will China now take its real position in the IP space, and start reflecting publications that really show the countries innovation skills?


Drug Discovery of Novel Molecules using Chemical Data Mining tool

Virtual screening (VS) and chemical data extracted from evidence based sources are the backbone of computational drug discovery workflow, an indispensable component in all drug design programs. It involves a host of modelling techniques from simple similarity search methods to advanced algorithms for finding the accurate bioactive conformation of a molecule to bind to its corresponding target. Chemoinformatics supports virtual screening at multiple levels during the lead optimization stage by suggesting suitable filters for numerous screenings by utilizing the power of data integration from multiple sources and derived knowledge that is essential for decision support in drug discovery and development.  It is therefore pertinent to develop tools, data and emerging methods in chemoinformatics to fully understand their role and applications in virtual screening.  Recently we have developed chemical informatics tools to assist drug discovery by chemical data extraction from literature, virtual library design, analysis and screening methods on selected case studies. 
The ligand based virtual screening methods presented include similarity searching, diversity selection, scaffold analysis, library generation, annotation and pharmacophore mapping to find diverse chemotypes from natural products. Structure and fragment based descriptors are compared with machine learning approaches in virtual screening. Text mining approaches involving gleaning of meaningful associations buried under layers of literature data have been successfully shown to act as a fast approach for finding hits in hitherto unknown chemical space. Though the techniques, algorithms computational time etc. for virtual screening have increased by leaps and bounds it is surprising that most of the research still focuses on limited number of targets and chemotypes.  It will become evident from these studies that a lot of target space is unchartered and a number of diseases have yet to be combated. As more and more authentic data in the form of publications, patents and internal reports, available with industry, are being made accessible to public at large, it is becoming increasingly important to have tools that can extract enormous amount of chemical information from these documents which in turn will multiply the virtual screening efforts. However, curating large sets of patent and publications is a slow and tedious process, hence we developed a workflow, that utilizes some commercial softwares like KNIME, ChemAxon’s Naming technology, Document to Structure, Markush Editor and ChemCurator, to extract Structures from published articles along-with Markush structures and chemical compound collections (e.g. exemplified structures) from Patents. We developed our own OCR/OSR tool, ChemRobot to convert chemical structure images into machine readable structures. The details of success story applying chemoinformatics for drug discovery inspired by bioactivity observed from Indian Medicinal plants will be discussed.  
10:30 - 11:00

Exhibition and Networking Break

Commercialization Potential of Emerging Technologies: Insights Based on Patent Analysis

It is important to understand the commercialization potential of an emerging technology before taking any business decision. The degree of commercialization of a technology, especially emerging technologies can be measured based on different parameters like market information, finance, Intellectual Property. Patent information can be considered as one of the good source for assessing the level of progression of technologies from invention to commercialization phase. In this talk, different correlations based on patent bibliographic data will be presented with case studies carried out in different technology fields.


Case of Classification Codes

Classification Codes in a patent document are given by Examiner. Due to time constraint and background/interest of the Examiner, some classification codes which could have been applied to the patent document are not applied. Though patent searchers know the inadequacy in searching Classification Codes, at times it is a useful field for focussed searches. Analysis of retrieved patent documents by Codes, Codes by Year and Codes by Assignee is typical but may not really represent the dataset truly. Here the presenter makes a case of Classification Codes and proposes solutions that would improve reliance on search and analysis of Classification Codes.

“Patentable Subject Matter” nurture or neglect innovation? A case study based rational analysis

Patentable Subject matter, list out the controversial inventions ineligible for patent registration. These inventions are related to genetic modification, software patents and business methods etc. which have been debated on national, international levels at various conventions. Currently, there are multiple patent litigation reported under patentable subject matter and are prosecuted at scientific, social and ethical perspectives. However, these inventions despite meeting the criteria of novelty, inventive step and commercial application are still been prosecuted based on patentable subject matter. The presentation would discuss some of the famous case studies in the area of genetic modification, software patents and business methods and logically compare various patent value under three special categories. Further, more emphasis is focused toward the recent patent litigation cases on genetically modified inventions in terms of plants, animals and humans. There by address the critical question whether “patentable subject matter” is actually satisfying the current upcoming technologies assessment or acting as an impediment for future innovations. In other words, dose patentable subject matter stifle the growth of latest upcoming technologies which could emerge as future breakthrough innovations!

New Product Introductions - CAS/STN / PIUG / One exhibitors slots is still availablle

13:00 - 14:00

Lunch, Exhibition and Networking - Lunch

IP Landscape Study – Unique Execution Approach – Actionable Intelligence with minimal effort (No automation)

IP Landscape study is integral part of any R&D planning, devising future strategy, to understand competition, assess early threat/opportunity etc. Enormous efforts and time is required to analyze large set of patents manually. It can vary from anywhere between 2000-200000 records. There are many smart tools and databases to do it automatically with generation of few dynamic charts and heat maps. However, the accuracy is not very high based on our comparative analysis.


Studies were carried out at MC, on with and without the use of automated IP tools for comparing and evaluating the accuracy. Post that, MC has designed its proprietary workflow which gives automatic tool like efficiency but with Human like quality. We apply this workflow  with end objective of identifying trending/key technology, top players, key companies in each sub-technology area, top countries, various trends based on timeline etc. Overall output helps the client in getting the top view with actionable intelligence. The study can be carried out in 50-70 hours/one week time of effort irrespective of domain, without compromising on quality. Here the presenter would cover few case scenarios to showcase the unique “MC-WAY". 

Why did I miss that Patent? How value added databases of STN  helps to find those missing patents

With a rapid increase in the patent and non-patent literature- there is always a chance that we miss some important patent due to the complexity with which they are being reported. This is critical in prior art, Freedom-to-Operate, Infringement searches. 

In this session, we will showcase case studies on how value added databases will help identify evasive information such as incompletely defined substances, chemically modified bio-sequences, prophetic substances, Markush structures, numeric properties discussed in Patents and NPL. 

Case studies will be presented using STN ®–an online platform with over 100 techno-scientific databases. Over 95% of the world’s patent applications are reviewed by patent offices that use STN.

Optimizing R&D strategy through organized patent database

With growing competition and the constant fear of being struck by disruption, it’s becoming increasingly tougher for corporate R&D departments to strategize research vis-à-vis stringent budgets. Avoiding re-inventing the wheel further poses to be an on-going challenge. In-house IP teams today largely adopt a reactive approach in which they tap ideas and inventions resulting from R&D and pursue patent protection. It would be beneficial if IP teams provide a proactive assistance to R&D teams and assist them in channeling R&D in the right direction. The presentation discusses how in-house IP teams can build an organized patent information database for R&D teams and guide them. The database can act as a common platform for which the R&D folks can have easy access to get the required technical information. Inventors can benefit from the insights received through such an organized database and can better understand the existing state-of-the-art. The presentation further discusses ways in which the database can be exploited for taking strategic R&D decisions.  

15:00 - 15:30

Exhibition and Networking Break

Worldwide IP activities in Green Technology

Recent trends in intellectual property around protecting green energy innovations are captured. Patent filing activities are collected worldwide in recent years and these activities are mapped geographically. Highlights from top active players are presented who are filing large number of patents in this technology domain and their collaborations with academics. Moreover, major economies in the world are promoting green energy innovations through reducing fees and less stringent conditions for filing patent applications. Those regional promotional activities are highlighted here, so that more and more research activities in green technology may enhance in coming future.

How many times must one file a patent before you can call it a grant?

How many times must one file a patent before you can call it a grant? The answer to this question is not blowin' in the wind. So, we have done some analysis across USPTO art units to study grant rates and other trends. Our talk will focus on the results of the analysis and key takeaways.

Closing Remarks

Meeting ends at approximately 17:00