ICIC 2017: New Poduct presentations BizInt

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Dr. Haxel Consult

Healthcare

Support your IPAnalysis with
BizInt Smart Charts for Patents
Patents & IP Sequences | Clinical Trials | Drug Pipelines
www.bizint.com
ICIC 2017
Diane Q. Webb, President
23 October 2017, Heidelberg, Germany

© 2017 BizInt Solutions, Inc | www.bizint.com 2
20 Years of BizInt Solutions
• Small software company
founded in 1996.
• BizInt Smart Charts for
Patents released in 1998.
• Attended our first ICIC
in 1998 in Nimes.

© 2017 BizInt Solutions, Inc | www.bizint.com 3
BizInt has moved to Seattle in the Pacific NW

takes your search results
Patents & IP Sequences | Clinical Trials | Drug Pipelines

…and automatically builds tabular reports.
Integrating results
from different databases.

And, helps you create visualizations from your reports.

© 2017 BizInt Solutions, Inc | www.bizint.com 7
Reports integrating key IP data…

© 2017 BizInt Solutions, Inc | www.bizint.com 8
from patent databases…

© 2017 BizInt Solutions, Inc | www.bizint.com 9
…and IP sequence databases.

© 2017 BizInt Solutions, Inc | www.bizint.com 10
Summary Record export
New!
with hit structures

© 2017 BizInt Solutions, Inc | www.bizint.com 11
Top Assignees (PatBase) by Therapy (DWPI)

© 2017 BizInt Solutions, Inc | www.bizint.com 12
Patent Databases
Provide data on patents filed worldwide
• STN – Classic (including STNext) & New STN
• Questel Orbit.com (including FULLPAT)
• Minesoft PatBase
• Innovation, Cortellis IP, Integrity Patents
• LexisNexis TotalPatent
• GQ LifeSciences LifeQuest

© 2017 BizInt Solutions, Inc | www.bizint.com 13
IP Sequence Databases
Provide data on sequences filed in patents
• GenomeQuest (Geneseq, GQ-PAT)
• STN (USGENE, DGENE, PCTGEN)

© 2017 BizInt Solutions, Inc | www.bizint.com 14
• Biomedical (Embase, Biosis, Medline)
• Scientific (SciSearch, Chemical Abstracts,
PQSciTech, etc)
• Technical (INSPEC, RAPRA, GEOREF, etc.)
• Hosts: STN (Classic & New),
ProQuest Dialog, Ovid, PubMed
Literature Databases
Provide data on technical and
scientific publications

© 2017 BizInt Solutions, Inc | www.bizint.com 15
Family Status table
(including Kind Code)
Orbit.com: Improved Family Status table
and Key Content

© 2017 BizInt Solutions, Inc | www.bizint.com 16
Orbit.com: FULLPAT support
including top line legal status
Status Details table
(like Family Status)

© 2017 BizInt Solutions, Inc | www.bizint.com 17
Orbit.com: FULLPAT includes status details
for all EP member states

© 2017 BizInt Solutions, Inc | www.bizint.com 18
Dead or Alive
Publication and Family Level
PatBase: Dead or Alive status

© 2017 BizInt Solutions, Inc | www.bizint.com 19
Derwent Innovation: Family State,
Estimated expiry, relevancy
• Family State for INPADOC and DWPI families
• Estimated Expiry Date w/ justification

© 2017 BizInt Solutions, Inc | www.bizint.com 20
Hit Index Terms
table in the chart
Improved Index
Terms display in the
records
Index terms

© 2017 BizInt Solutions, Inc | www.bizint.com 21
Support for hit structures in summary records
• New STN - now
• Classic STN –
later this year

© 2017 BizInt Solutions, Inc | www.bizint.com 22
This fall: Structure-oriented table

© 2017 BizInt Solutions, Inc | www.bizint.com 23
• Drug Pipeline databases:
Citeline Pharmaprojects
Clarivate Cortellis
Adis R&D Insight
IMS R&D Focus
Clarivate Integrity
• Clinical Trial databases:
Registries: ClinicalTrials.gov, EudraCT, WHO ICTRP
Commercial: Citeline Trialtrove, Adis Clinical Trials Insight,
Cortellis Trials Intelligence

© 2017 BizInt Solutions, Inc | www.bizint.com 24
• Designed for analysts who don’t have the time
to learn some or all of the BizInt tools.
• BizInt will use the BizInt Smart Charts tools to
build BizInt Smart Strategy Dashboards for you.
BizInt Smart Strategy
Dashboards (BizDash)

© 2017 BizInt Solutions, Inc | www.bizint.com 25

Come talk with us
in the exhibit hall!
www.bizint.com

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Srinivasan Parthiban (VINGYANI, India) Deep learning is hot, making waves, delivering results, and is somewhat of a buzzword today. There is a desire to apply deep learning to anything that is digital. Unlike the brain, these artificial neural networks have a very strict predefined structure. The brain is made up of neurons that talk to each other via electrical and chemical signals. We do not differentiate between these two types of signals in artificial neural networks. They are essentially a series of advanced statistics based exercises that review the past to indicate the likely future. Another buzzword that was used for the last few years across all industries is “big data”. In biomedical and health sciences, both unstructured and structured information constitute "big data". On the one hand deep learning needs lot of data whereas “big data" has value only when it generates actionable insight. Given this, these two areas are destined to be married. The couple is made for each other. The time is ripe now for a synergistic association that will benefit the pharmaceutical companies. It may be only a short time before we have vice presidents of machine learning or deep learning in pharmaceutical and biotechnology companies. This presentation will review the prominent deep learning methods and discuss these techniques for their usefulness in biomedical and health informatics.

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CIC is the International Conference on Trends for Scientific Information Professionals. 29th ICIC International Conference for the Information Community For those in the sci-tech world, sharing best practices, networking and evaluating trends have become matters of considerable importance, and the annual ICIC Meeting & Exhibition is the significant forum for this, attracting over 100 attendees from the main sci-tech companies and information, service or software providers. It will be a venue where attendees will learn about new ways to work with disseminate scientific and patent information. Started in 1989 ... These exciting and highly respected annual conferences, that started in Montreux in 1989 and were subsequently held in Annecy, Nîmes, Barcelona, Nice, Vienna and Berlin have always provided a barometer as to the strengths and frailties of the world of sci-tech and patent information. The conference lasts for two days and features approximately 24 formal presentations, panels on topical matters, all interspersed with short new product information presentations. All sessions are plenary. The conference normally begins with a reception and Welcome Dinner on the first evening to enable attendees to begin to network with each other. Lunches are taken at the conference venue, and breaks are designed to facilitate networking and interaction. A focused exhibition of approximately 20 stands is integrated within the conference. Attendance at these meetings is highly international, with no one nationality predominating. The 2017 ICIC conference is organised by Dr Haxel Congress and Event Management. Subject Areas for the 2017 Programme The traditional focus of the ICIC programmes is subjects of interest to information professionals in a scientific or technical environment. As in previous years, this year's programme contains a number of presentations examining aspects of patent information retrieval, including drug discovery; patent information presents many challenges and is thus an excellent test-bed when it comes to information technology. The ICIC meeting's roots in chemical information also ensure that that area features prominently; chemical information was one of the first fields to attract modern information technologies back at the end of the twentieth century and the very beginning of the twentyfirst. Next ICIC: 23 - 24 October 2017, Heidelberg, Germany. Location: Heidelberg Congress House http://www.heidelberg-conventions.com/ Neckarstaden 24, 69117 Heidelberg

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What if there was a platform where literature, conference abstracts, patents, clinical trials, news, grants and other sources were fully integrated? What if the data would be harmonized, enriched with standardized concepts and ready for analysis? After building our patent analytics platform we didn’t stop dreaming and built our big data analytics platform by semantically integrating text-rich, scientific sources. In my presentation I will talk about what we built and why we built it. And, of course, I will also address the challenges and hurdles along the way. Was it worth it and what comes next? Let’s talk about it!

AI-SDV 2022: Big data analytics platform at Bayer – Turning bits into insight...

Dr. Haxel Consult

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