The document discusses BioApp Creator, a tool being developed by Insightomics to empower researchers to create their own interactive bioinformatics apps (BioApps) without coding. It aims to scale up the ecosystem into a global bioinformatics app marketplace and lower barriers to innovation in life sciences R&D by making researchers more autonomous. BioApp Creator builds on Insightomics' existing platform which blends visualizations and machine learning in a cloud-based environment. It addresses challenges like increasing the number of available apps and researchers' autonomy by allowing them to visually design BioApps that integrate with underlying methods.
This paper revisits the issues discussed in our 2013 and 2016 presentations "Challenges in Visualizing Pharmaceutical Business Information," where we analyzed some of the unique challenges in visualizing competitive intelligence information for the pharmaceutical industry. A key challenge for pharmaceutical companies is to evaluate the competitive landscapes for drug launches many years in the future, based on a combination of publicly available drug pipeline and clinical trials data and internal company knowledge. This information is often conveyed in hand-drawn PowerPoint slides, which are very time consuming to create and update as the competitive landscape changes. In this year's presentation, we'll discuss the development of a "dashboard" of visualizations (piano charts, trial completion timelines, maps, etc.) to facilitate the analysis and visualization of competitive drug landscapes.
BizInt Solutions, Inc. is a small software company based in Seattle. We develop, market and support the BizInt Smart Charts software products, which help information specialists create, customize and distribute tabular reports from the leading patent and drug pipeline databases. Our customers include pharmaceutical, biotech, chemical, petroleum, and device manufacturing companies in North America, Europe, and Japan.
Hadoop and Data Virtualization - A Case Study by VHADenodo
Access to full webinar: http://goo.gl/dQjxRe
This webinar by Hortonworks, VHA and Denodo provides information about the functionalities and benefits of Hadoop in Modern Data Architectures; how Hadoop along with data virtualization simplify data management and enable faster data discovery; and what data virtualization can offer in big data projects. VHA explains how they deployed data virtualization and Hadoop together and presents their lessons learned and best practices for data lake and data virtualization deployment.
Seattle Code Camp 2016- Role of Data Science in HHealthcareRuba Qaqish
Everyone loves to shake a stick at the healthcare industry for being backward. The fact is that there is no lack of technology or data in healthcare. The biggest challenge for healthcare providers is to identify what questions to ask the data. My team has implemented over 75 enterprise data warehouse projects in the US healthcare industry.
This talk shares some of the examples of how data is used in the healthcare industry for compliance reporting (BI) and predictive analytics.
At the end, I will also share some ideas on what questions to ask from healthcare data. Some of these ideas are now products built by industry leaders like Caradigm, GE Healthcare, Get:Well Network and Philips Healthcare.
Perhaps, you will be inspired to build the next game changing product for the healthcare industry!
The OntoChem IT Solutions GmbH ...
... was founded in 2015 as a purely IT-oriented offshoot of the OntoChem GmbH. Even before we had many years of experience and it has always been our mission to provide added value to our customers by helping them to navigate today’s complex information world by developing cognitive computing solutions, indexing intranet and internet data and applying semantic search solutions for pharmaceutical, material sciences and technology driven businesses.
We strive to support our customers with the most useful tools for knowledge discovery possible, encompassing up-to-date data sources, optimized ontologies and high-throughput semantic document processing and annotation techniques.
We create new knowledge from structured and unstructured data by extracting relationships thereby exploiting the full potential of full-text documents & databases while also scanning social media, news flows and analyzing web-pages.
We aim at an unprecedented, machine understanding of text and subsequent knowledge extraction and inference. The application of our methods towards chemical compounds and their properties supports our customers in generating intellectual property and their use as novel therapeutics, agrochemical products, nutraceuticals, cosmetics and in the field of novel materials.
It's our mission to provide added value to customers by:
developing and applying cognitive computing solutions
creating intranet and internet data indexing and semantic search solutions
Big Data analytics for technology driven businesses
supporting product development and surveillance.
We deliver useful tools for knowledge discovery for:
creating background knowledge ontologies
high-throughput semantic document processing and annotation
knowledge mining by extracting relationships
exploiting the full potential of full-text documents & databases while also scanning social media, news flows and analyzing web-pages.
As access to the internet grows globally, the number of information sources are growing exponentially. In addition, innovations driven by technology platforms such as IoT, AI, MEMS, etc. are bringing new competitors into spaces that were never considered before. Whoever thought that an automotive OEM would feel threatened by Apple or Google. This period of expansion in both information sources and technologies presents a tremendous opportunity and challenge for global corporations. Information needs to be tracked on a regular and consistent basis from various (previously ignored) sources to identify new opportunities, innovations and threats. SciTech Patent Art will share its learnings from the establishment of one such well-thought through Competitive Technology Intelligence program for a global corporation. The presenter will discuss how scope was established, approach used, learnings/refinements to make the program more useful and at the end, summarize key elements of establishing and making such a program successful. Use of tools such as Artificial Intelligence, which is playing a critical role in program sustenance, will be reviewed in the context of establishing such a cost-effective global CTI program.
Today’s research projects are often carried out across collaborative networks of pharma’s, biotech’s, CRO’S and
Academics in a variety of arrangements from fee-for-service to joint IP discovery to large consortia.
The Dotmatics
informatics solution for collaborative network research can help ensure the success of all these arrangements,
allowing real-time scientific data exchange, enhanced communication, project management and even shared
scientific decision making across all partners.
We have 15 years of experience working with CROs to support collaborative data management platforms. Many of our
customers had significant problems in working with their partners to capture and share data, often this was a manual
process and highly error prone. Due to it being a manual process the sharing of data between organizations was time
consuming and caused significant delay in sharing results across the project.
IC-SDV 2018: Aleksandar Kapisoda (Boehringer) Using Machine Learning for Auto...Dr. Haxel Consult
Focusing on the significance of targets is one of the key drivers for quality of web search.
Filtering targeted companies based on the significance of their business model for the expected search results was one of our “nice to haves” last year.
Evaluating a number of artificial intelligence approaches based on neural networks, classical machine learning and semantic technologies lead us to a working hybrid approach.
Knowledge Graphs: Changing How We Think About DataTim Williams
An introduction to Knowledge Graphs for FDA Department of Regulatory Science Technology Forum 2020-08-17. Includes SPARQL querying, SHACL, 3D visualization.
NIH NSF Digital Clinical Trials Workshop 02Apr2019 [Lipset]Craig Lipset
Presentation by Craig Lipset at the NIH / NSF "Digital Clinical Trials Workshop" on April 2 2019 in Bethesda MD.
https://www.nhlbi.nih.gov/events/2019/digital-clinical-trials-workshop-creating-vision-future
This presentation details two key themes for digital in medicine development as well as a range of incremental areas where digital is impacting clinical trials today.
AI-SDV 2020: Implementation of new technology within a big pharma company: Fi...Dr. Haxel Consult
Pharmaceutical companies have always relied on data to support innovation and drive the business. This concept has remained unchanged, despite the fact that today we get it at the speed of light, in an overwhelming volume, and in a global and mostly unstructured way. In order to continue to derive knowledge and insights from that data to support drug discovery and business strategies, integrating AI tools into work processes and acquiring the required skills to do so has become crucial. Although the need is clear, how to implement these new tools is not straightforward in an era of restructuring, divesting, outsourcing, and budget crunching. This talk will focus on creative ways to overcome some of these barriers within a “big pharma” setting with a specific example demonstrating the application of these concepts.
Growth Opportunities for Entrepreneurs in Clinical Research ServicesCraig Lipset
Presentation by Craig Lipset for mHealth Israel on February 12 2020 hosted at Google Tel Aviv.
This talk reviews current challenges and trends in clinical trials today, followed by a forecast for trials will be impacted by decentralization, distribution, democratization, and disruption.
The presentation concludes with some considerations for entrepreneurs seeking to grow new solutions for clinical trials.
This paper revisits the issues discussed in our 2013 and 2016 presentations "Challenges in Visualizing Pharmaceutical Business Information," where we analyzed some of the unique challenges in visualizing competitive intelligence information for the pharmaceutical industry. A key challenge for pharmaceutical companies is to evaluate the competitive landscapes for drug launches many years in the future, based on a combination of publicly available drug pipeline and clinical trials data and internal company knowledge. This information is often conveyed in hand-drawn PowerPoint slides, which are very time consuming to create and update as the competitive landscape changes. In this year's presentation, we'll discuss the development of a "dashboard" of visualizations (piano charts, trial completion timelines, maps, etc.) to facilitate the analysis and visualization of competitive drug landscapes.
BizInt Solutions, Inc. is a small software company based in Seattle. We develop, market and support the BizInt Smart Charts software products, which help information specialists create, customize and distribute tabular reports from the leading patent and drug pipeline databases. Our customers include pharmaceutical, biotech, chemical, petroleum, and device manufacturing companies in North America, Europe, and Japan.
Hadoop and Data Virtualization - A Case Study by VHADenodo
Access to full webinar: http://goo.gl/dQjxRe
This webinar by Hortonworks, VHA and Denodo provides information about the functionalities and benefits of Hadoop in Modern Data Architectures; how Hadoop along with data virtualization simplify data management and enable faster data discovery; and what data virtualization can offer in big data projects. VHA explains how they deployed data virtualization and Hadoop together and presents their lessons learned and best practices for data lake and data virtualization deployment.
Seattle Code Camp 2016- Role of Data Science in HHealthcareRuba Qaqish
Everyone loves to shake a stick at the healthcare industry for being backward. The fact is that there is no lack of technology or data in healthcare. The biggest challenge for healthcare providers is to identify what questions to ask the data. My team has implemented over 75 enterprise data warehouse projects in the US healthcare industry.
This talk shares some of the examples of how data is used in the healthcare industry for compliance reporting (BI) and predictive analytics.
At the end, I will also share some ideas on what questions to ask from healthcare data. Some of these ideas are now products built by industry leaders like Caradigm, GE Healthcare, Get:Well Network and Philips Healthcare.
Perhaps, you will be inspired to build the next game changing product for the healthcare industry!
The OntoChem IT Solutions GmbH ...
... was founded in 2015 as a purely IT-oriented offshoot of the OntoChem GmbH. Even before we had many years of experience and it has always been our mission to provide added value to our customers by helping them to navigate today’s complex information world by developing cognitive computing solutions, indexing intranet and internet data and applying semantic search solutions for pharmaceutical, material sciences and technology driven businesses.
We strive to support our customers with the most useful tools for knowledge discovery possible, encompassing up-to-date data sources, optimized ontologies and high-throughput semantic document processing and annotation techniques.
We create new knowledge from structured and unstructured data by extracting relationships thereby exploiting the full potential of full-text documents & databases while also scanning social media, news flows and analyzing web-pages.
We aim at an unprecedented, machine understanding of text and subsequent knowledge extraction and inference. The application of our methods towards chemical compounds and their properties supports our customers in generating intellectual property and their use as novel therapeutics, agrochemical products, nutraceuticals, cosmetics and in the field of novel materials.
It's our mission to provide added value to customers by:
developing and applying cognitive computing solutions
creating intranet and internet data indexing and semantic search solutions
Big Data analytics for technology driven businesses
supporting product development and surveillance.
We deliver useful tools for knowledge discovery for:
creating background knowledge ontologies
high-throughput semantic document processing and annotation
knowledge mining by extracting relationships
exploiting the full potential of full-text documents & databases while also scanning social media, news flows and analyzing web-pages.
As access to the internet grows globally, the number of information sources are growing exponentially. In addition, innovations driven by technology platforms such as IoT, AI, MEMS, etc. are bringing new competitors into spaces that were never considered before. Whoever thought that an automotive OEM would feel threatened by Apple or Google. This period of expansion in both information sources and technologies presents a tremendous opportunity and challenge for global corporations. Information needs to be tracked on a regular and consistent basis from various (previously ignored) sources to identify new opportunities, innovations and threats. SciTech Patent Art will share its learnings from the establishment of one such well-thought through Competitive Technology Intelligence program for a global corporation. The presenter will discuss how scope was established, approach used, learnings/refinements to make the program more useful and at the end, summarize key elements of establishing and making such a program successful. Use of tools such as Artificial Intelligence, which is playing a critical role in program sustenance, will be reviewed in the context of establishing such a cost-effective global CTI program.
Today’s research projects are often carried out across collaborative networks of pharma’s, biotech’s, CRO’S and
Academics in a variety of arrangements from fee-for-service to joint IP discovery to large consortia.
The Dotmatics
informatics solution for collaborative network research can help ensure the success of all these arrangements,
allowing real-time scientific data exchange, enhanced communication, project management and even shared
scientific decision making across all partners.
We have 15 years of experience working with CROs to support collaborative data management platforms. Many of our
customers had significant problems in working with their partners to capture and share data, often this was a manual
process and highly error prone. Due to it being a manual process the sharing of data between organizations was time
consuming and caused significant delay in sharing results across the project.
IC-SDV 2018: Aleksandar Kapisoda (Boehringer) Using Machine Learning for Auto...Dr. Haxel Consult
Focusing on the significance of targets is one of the key drivers for quality of web search.
Filtering targeted companies based on the significance of their business model for the expected search results was one of our “nice to haves” last year.
Evaluating a number of artificial intelligence approaches based on neural networks, classical machine learning and semantic technologies lead us to a working hybrid approach.
Knowledge Graphs: Changing How We Think About DataTim Williams
An introduction to Knowledge Graphs for FDA Department of Regulatory Science Technology Forum 2020-08-17. Includes SPARQL querying, SHACL, 3D visualization.
NIH NSF Digital Clinical Trials Workshop 02Apr2019 [Lipset]Craig Lipset
Presentation by Craig Lipset at the NIH / NSF "Digital Clinical Trials Workshop" on April 2 2019 in Bethesda MD.
https://www.nhlbi.nih.gov/events/2019/digital-clinical-trials-workshop-creating-vision-future
This presentation details two key themes for digital in medicine development as well as a range of incremental areas where digital is impacting clinical trials today.
AI-SDV 2020: Implementation of new technology within a big pharma company: Fi...Dr. Haxel Consult
Pharmaceutical companies have always relied on data to support innovation and drive the business. This concept has remained unchanged, despite the fact that today we get it at the speed of light, in an overwhelming volume, and in a global and mostly unstructured way. In order to continue to derive knowledge and insights from that data to support drug discovery and business strategies, integrating AI tools into work processes and acquiring the required skills to do so has become crucial. Although the need is clear, how to implement these new tools is not straightforward in an era of restructuring, divesting, outsourcing, and budget crunching. This talk will focus on creative ways to overcome some of these barriers within a “big pharma” setting with a specific example demonstrating the application of these concepts.
Growth Opportunities for Entrepreneurs in Clinical Research ServicesCraig Lipset
Presentation by Craig Lipset for mHealth Israel on February 12 2020 hosted at Google Tel Aviv.
This talk reviews current challenges and trends in clinical trials today, followed by a forecast for trials will be impacted by decentralization, distribution, democratization, and disruption.
The presentation concludes with some considerations for entrepreneurs seeking to grow new solutions for clinical trials.
FocalCxm presentation on improving productivity in life sciences researchFOCALCXM
This webinar is organized by FocalCXM in partnership with Salesforce. As part of this webinar, we will walk you through our vision and explain how the various aspects of Salesforce and Heroku come to life to improve the overall productivity of research in Life Sciences.
A Reference Architecture for Digitalization in the Pharmaceutical IndustryCapgemini
A Reference Architecture for Digitalization in the Pharmaceutical Industry - Alina Chircu, Bentley University; Levent Sözer, Capgemini Germany; Eldar Sultanow, Capgemini Germany
INFORMATIK 2017
47. Jahrestagung der Gesellschaft für Informatik e.V. (GI) | 25.-29.9.2017 | Chemnitz
Workshop Enterprise Architecture Management in Forschung und Praxis
“The Most Recommended Pharma & Life Sciences Solution providers in 2021” highlighting the pharmaceutical and healthcare industries help to improving the human health and forwarding life-expectancy one step further.
How Big Data can drive innovative technologies and new approaches in large or...Nick Brown
Presentation by Nick Brown at Big Data in Paris on 8th March 2016. Overview about how we have developed a big data engine around search and unstructured content (with Sinequa) and how this has lead to innovating with mobility, user experience and digital health initiatives. Also provides access to our PitchIT open innovation site.
OTOinsights Mobile UX Webinar, April 15 2010One to One
At OTOinsights we have conducted over 40 research projects in the mobile sector for mobile application developers and mobile manufacturers helping design products that connect with customers in meaningful ways.
Using our experience and knowledge we have created a new study called 'Mobile insights'. Key points include:
- details of research methodologies and techniques that can be used to understand the customer 's 'informational landscape'
- explores how to make mobile applications not only 'usable' but also 'engaging' so that your customers want to use them time and time again
Themes and objectives:
To position FAIR as a key enabler to automate and accelerate R&D process workflows
FAIR Implementation within the context of a use case
Grounded in precise outcomes (e.g. faster and bigger science / more reuse of data to enhance value / increased ability to share data for collaboration and partnership)
To make data actionable through FAIR interoperability
Speakers:
Mathew Woodwark,Head of Data Infrastructure and Tools, Data Science & AI, AstraZeneca
Erik Schultes, International Science Coordinator, GO-FAIR
Georges Heiter, Founder & CEO, Databiology
Insilicogen Company Brochure 2020 (En)Insilico Gen
Insilicogen is a company, specializes in Bioinformatics. Our company provides a platform to share and communicate various biological data analysis effectively.
Application Of Python in Medical ScienceAditya Nag
Python is an interpreted high-level general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant indentation. Its language constructs, as well as its object-oriented approach, aim to help programmers write clear, logical code for small and large-scale projects.
Presentazione nell'ambito del workshop: OPEN DATA E CLOUD COMPUTING: OPPORTUNITÀ DI BUSINESS. Una vista internazionale - 15 Settembre 2014 Pad. 152 della Regione Puglia - 78 Fiera del Levante Bari
2023 Insilicogen Company Brochure (en)Insilico Gen
Insilicogen is a company, specializes in Bioinformatics. Our company provides a platform to share and communicate various biological data analysis effectively.
cliniTRUST- Stefanini Digital Data Flow Solution -TransCelerateNagesh Jadhav
Stefanini Life sciences mission is to co-innovate, co-create such solutions to enable life sciences organizations deliver discover, develop and deliver medicines, care to patients faster. With our experience in Clinical AI and Automation we co-innovated and co-created cliniTRUST a robust DDF automation platform enabling interoperability, reducing cycle times, increasing efficiency, data quality and compliance.
Fairification experience clarifying the semantics of data matricesPistoia Alliance
This webinar presents the Statistics Ontology, STATO which is a semantic framework to support the creation of standardized analysis reports to help with review of results in the form of data matrices. STATO includes a hierarchy of classes and a vocabulary for annotating statistical methods used in life, natural and biomedical sciences investigations, text mining and statistical analyses.
Innovation applications of microphysiological systems (MPS) have been growing over the past decade, especially with respect to the use of complex human tissues for assessing safety of drug candidates – but broad industry adoption of MPS methods has not yet become a reality.
This webinar addresses some recent advances in MPS development and begins to explore the barriers to increased incorporation of MPS to improve drug safety assessment and to provide safer, more effective drugs into the clinical pipeline.
Federated Learning (FL) is a learning paradigm that enables collaborative learning without centralizing datasets. In this webinar, NVIDIA present the concept of FL and discuss how it can help overcome some of the barriers seen in the development of AI-based solutions for pharma, genomics and healthcare. Following the presentation, the panel debate on other elements that could drive the adoption of digital approaches more widely and help answer currently intractable science and business questions.
It seems that AI is also becoming a buzzword, like design thinking. Everyone is talking about AI or wants to have AI, and sees all the ideas and benefits – that’s fine, but how do you get started? But what’s different now? Three innovations have finally put AI on the fast track: Big Data, with the internet and sensors everywhere; massive computing power, especially through the Cloud; and the development of breakthrough algorithms, so computers can be trained to accomplish more sophisticated tasks on their own with deep learning. If you use new technology, you need to explore and know what’s possible. With design thinking, it aids to outline the steps and define the ways in which you’re going to create the solution. Starting with mapping the customer journey, defining who will be using that service enhanced with intelligent technology, or who will benefit and gain value from it. We discuss how these two worlds are coming together, and how you get started to transform your venture with Artificial Intelligence using Design Thinking.
Speaker: Claudio Mirti, Principal Solution Specialist – Data & AI, Microsoft
Knowledge graphs ilaria maresi the hyve 23apr2020Pistoia Alliance
Data for drug discovery and healthcare is often trapped in silos which hampers effective interpretation and reuse. To remedy this, such data needs to be linked both internally and to external sources to make a FAIR data landscape which can power semantic models and knowledge graphs.
2020.04.07 automated molecular design and the bradshaw platform webinarPistoia Alliance
This presentation described how data-driven chemoinformatics methods may automate much of what has historically been done by a medicinal chemist. It explored what is reasonable to expect “AI” approaches might achieve, and what is best left with a human expert. The implications of automation for the human-machine interface were explored and illustrated with examples from Bradshaw, GSK’s experimental automated design environment.
This presentation reviewed the challenges in identifying, acquiring and utilizing research data in relation to an evolving data market. Strategic solutions were examined in which the FAIR principles play a key role in the future of data management.
Dr. Dennis Wang discusses possible ways to enable ML methods to be more powerful for discovery and to reduce ambiguity within translational medicine, allowing data-informed decision-making to deliver the next generation of diagnostics and therapeutics to patients quicker, at lowered costs, and at scale.
The talk by Dr. Dennis Wang was followed by a panel discussion with Mr. Albert Wang, M. Eng., Head, IT Business Partner, Translational Research & Technologies, Bristol-Myers Squibb.
With the explosion of interest in both enhanced knowledge management and open science, the past few years have seen considerable discussion about making scientific data “FAIR” — findable, accessible, interoperable, and reusable. The problem is that most scientific datasets are not FAIR. When left to their own devices, scientists do an absolutely terrible job creating the metadata that describe the experimental datasets that make their way in online repositories. The lack of standardization makes it extremely difficult for other investigators to locate relevant datasets, to re-analyse them, and to integrate those datasets with other data. The Center for Expanded Data Annotation and Retrieval (CEDAR) has the goal of enhancing the authoring of experimental metadata to make online datasets more useful to the scientific community. The CEDAR work bench for metadata management will be presented in this webinar. CEDAR illustrates the importance of semantic technology to driving open science. It also demonstrates a means for simplifying access to scientific data sets and enhancing the reuse of the data to drive new discoveries.
Open interoperability standards, tools and services at EMBL-EBIPistoia Alliance
In this webinar Dr Henriette Harmse from EMBL-EBI presents how they are using their ontology services at EMBL-EBI to scale up the annotation of data and deliver added value through ontologies and semantics to their users.
Fair webinar, Ted slater: progress towards commercial fair data products and ...Pistoia Alliance
Elsevier is a global information analytics business that helps institutions and professional’s
advance healthcare and open science to improve performance for the benefit of humanity.
In this webinar, we discuss how Elsevier is increasingly leveraging the FAIR Guiding Principles to improve its products and services to better serve the scientific community.
Application of recently developed FAIR metrics to the ELIXIR Core Data ResourcesPistoia Alliance
The FAIR (Findable, Accessible, Interoperable and Reusable) principles aim to maximize the discovery and reuse of digital resources. Using recently developed software and metrics to assess FAIRness and supported through an ELIXIR Implementation Study, Michel worked with a subset of ELIXIR Core Data Resources to apply these technologies. In this webinar, he will discuss their approach, findings, and lessons learned towards the understanding and promotion of the FAIR principles.
Implementing Blockchain applications in healthcarePistoia Alliance
Blockchain technology can revolutionise the way information is exchanged between parties by bringing an unprecedented level of security and trust to these transactions. The technology is finding its way into multiple use cases but we are yet to see full adoption and real-world business implementation in the Healthcare industry.
In this webinar we will explore the main challenges and considerations for the implementation of Blockchain technology in Healthcare use cases. This is the third webinar in our Blockchain Education series.
Building trust and accountability - the role User Experience design can play ...Pistoia Alliance
In this webinar our panel of UX specialists give a brief introduction to User Experience before presenting the design opportunities UX can bring to AI. We all know that AI has great potential but has some significant hurdles to overcome not least so the human aspect of trust and ethical considerations when designing in the life sciences.
In the late Fall and Winter of 2018, the Pistoia Alliance in cooperation with Elsevier and charitable organizations Cures within Reach and Mission: Cure ran a datathon aiming to find drugs suitable for treatment of childhood chronic pancreatitis, a rare disease that causes extreme suffering. The datathon resulted in identification of four candidate compounds in a short time frame of just under three months. In this webinar our speakers discuss the technologies that made this leap possible
PA webinar on benefits & costs of FAIR implementation in life sciences Pistoia Alliance
The slides from the Pistoia Alliance Debates Webinar where a panel of experts from technology support providers and the biopharma industry, who have been invited to share their views on the "Benefits and costs of FAIR Implementation for life science industry".
Creating novel drugs is an extraordinarily hard and complex problem.
One of the many challenges in drug design is the sheer size of the search space for novel chemical compounds. Scientists need to find molecules that are active toward a biological target or pathway and at the same time have acceptable ADMET properties.
There is now considerable research going on using various AI and ML approaches to tackle these challenges.
Our distinguished speakers, Drs. Alex Tropsha and Ola Engkvist, will discuss their recent work in Drug Design involving Deep Reinforcement Learning and Neural Networks, and will answer questions from the audience on the current state of the research in the field.
Speakers:
Prof Alex Tropsha, Professor at University of North Carolina at Chapel Hill, USA
Dr. Ola Engkvist, Associate Director at AstraZeneca R&D, Gothenburg, Sweden
The slides from thecontinuing part of Pistoia Alliance's drive to improve education and communication around new technologies to life science professionals, this webinar explored how blockchain/DLT and IoT could come together to add even more trust to the GxP domain. If you want to know more about how these new technologies could help enhance GxP compliance, then this webinar will give you much food for thought.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
2. Data Analysis Bottleneck
Pharma and Biotech increasingly combine omics and clinical data in their
R&D efforts.
The bottleneck in life sciences R&D is shifting towards data analysis.
Making sense of large volumes of heterogeneous data is a significant
problem.
2
3. Market Situation
3
Existing bioinformatics tools are, in general, complex to use. Too
technical, unwieldy and not built for usability. Steep learning curve.
A large part still focuses on data acquisition, storage, search or simple
analyses. Lack of tools offering analysis integrated with interactive
visualizations - Visual Analytics.
Overdispersion of software - multiple implementations hinder
reproducibility.
Overdispersion of expertise - many different problems to solve, hard to
know which approach solves the problem best.
4. Market Pain
4
Lack of productivity in a complex and large
bioinformatics application landscape.
Existing tools are a limiting factor to innovation.
5. The Insightomics Platform
5
App platform for bioinformatics.
Blends interactive visualizations with state-of-the-art machine learning
and statistical methods in a big data platform.
Web-based, sits in the cloud and can also be deployed on-premises.
Promotes collaboration.
Engine for creating visually rich, intuitive, and interactive bioinformatics
apps - BioApps.
7. Are we there yet?
7
BioApp development still requires coding skills.
Research needs and ideas change constantly.
Developers are unable to anticipate all research needs.
Which apps to implement?
8. Key Challenges
8
How to increase the coverage of apps
available to researchers?
How to increase researchers’ autonomy?
9. Our Proposed Solution – BioApp Creator
9
Empower researchers to create their own BioApps.
Through a visual and user-friendly web interface, researchers will be able
to create BioApps with relevant functionality without coding.
Resulting BioApps are visualization-focused by nature, and integrate
transparently with underlying bioinformatics methods.
BioApp Creator is powered by the existing declarative and feature-rich
APIs provided by the Insightomics Platform.
10. BioApp Creator Goals
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Scale up the ecosystem into a
global bioinformatics app marketplace.
Empower researchers to become more autonomous,
thus lowering barriers to R&D innovation.
11. In conclusion...
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BioApp Creator is strongly aligned with this competition’s goals, as well
as with Pistoia Alliance’s mission.
Provides the R&D community with a Global Bioinformatics App
Marketplace, greatly improving the number and quality of tools available
to researchers.
Empowers researchers to become more autonomous and make better
use of their data, with visualization-driven BioApps.
Transforms R&D processes by offering new means to store, secure,
manage and analyse data in the cloud.
Lowers barriers to R&D innovation in the life sciences.
15. Leadership
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José Caldas, PhD
Co-founder & CEO
José has an extensive expertise in
bioinformatics, statistics and machine
learning. His specialties include advanced
machine learning and data mining
algorithms, large-scale bioinformatics
applications and biological problems such
as biomarker discovery, drug repurposing,
meta-analysis, and information retrieval.
He is first author of multiple scientific
papers on applying state-of-the-art
computational approaches in a Big Data
context, in collaboration with leading
experts in the field. José holds a PhD in
bioinformatics from Aalto University in
Finland, and an MSc and a BSc in
software engineering from Instituto
Superior Técnico, University of Lisbon.
Pedro Castro, MSc
Co-founder & CTO
Pedro has wide experience in managing
and delivering consulting services to
companies across a number of industries,
including Life Sciences, Health Care,
Public Sector, Insurance and Tourism.
With a background in IT and management
consulting, as a supervisor at Deloitte, his
specialties include project management
and PMO, IT strategy, software
engineering and business process
optimization. Pedro holds an MSc and a
BSc in Software Engineering from
Instituto Superior Técnico, University of
Lisbon.
André Rocha, MSc
VP of Business Development
André has extensive experience in setting
up and scaling startups as well as defining
and implementing large-scale projects in a
wide range of sectors. He was part of the
initial founding team of ZALORA
Philippines, where he played a key role in
setting up operations, launching the product
and scaling it up to 15M+ of annualized
revenue. He was also the first Associate at
BCG Angola where he worked with some of
the countries' main players in the
Government, Banking and Oil & Gas
sectors, in projects with country-wide
impact. André holds a BSc in Economics
from Nova SBE, an MSc in International
Management from Bocconi University and
is currently an MBA candidate at Harvard
Business School.
Editor's Notes
Pharma and Biotech increasingly combine omics and clinical data in their R&D efforts,
something that was accelerated with the advent of technologies such as high-throughput sequencing and the increased digitization of medical records.
(…)
When we look at existing bioinformatics tools, we see that they are, in general, complex to use.
(…)
So this creates a very clear market pain:
There is lack a productivity in a complex and large bioinformatics application landscape.
(…)
These were the drivers that led us to build the Insightomics platform, which is an App Platform for bioinformatics.
(…)
BioApps can serve many different purposes. The most common are:
Exploratory data analysis - Enable the user to explore a data set in a visual and interactive manner (e.g., exploration of The Cancer Genome Atlas (TCGA) data).
Streamlining data analysis services - Package analysis pipelines (e.g., a transcriptomics pipeline) in a single place, improving efficiency on service delivery.
Interactive reports - allows service providers to deliver an app with each service results (e.g., a 16S metagenomics report), which enables their customers to perform additional data exploration in a visual manner.
Publication of reproducible research - on the web or via a link included in a research paper, allowing the research community to explore the results.
Still, are we there yet?
So these are key challenges the industry is facing.
(…)
In order to address these challenges, we propose for this challenge: BioApp Creator.
With BioApp Creator, we will be able to achieve two major goals: