MeaningCloud partners with the think tank “We the Humans“, sponsoring the challenge “Artificial Intelligence for social good”.
The mission of “We the Humans” consists in:
For the pharmaceutical industry, it is essential to listen and understand the feedback that their current and potential patients communicate through all sorts of channels and touchpoints.
Although there is a protocol that requires any identified Adverse Drug Reactions (ADRs) to be disclosed to the authorities, only 5–20% of them are reported. Fortunately, discussions regarding drugs, symptoms, conditions, and diseases can be analyzed to learn more about said branches of pharmaceutics. Artificial Intelligence significantly contributes in monitoring adverse episodes and understanding their impact in every phase of development.
Patient narratives of medicines and their adverse effects on social media represent an extra data source for drug safety monitoring.
At MeaningCloud, we have developed a platform to automate the process of monitoring ADRs on social media.
On May-23, 2018 we delivered the webinar “A gentle introduction to Artificial Intelligence in Pharma. Text-based sources”. Although it’s hard to believe, the level of marketing hype around Artificial Intelligence has even surpassed the one about digital transformation or Big Data.
Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn.
Did you know that in the Pharma industry, up to 80% of business-relevant information is made up of text?
We see that AI is transforming the Pharma industry from top to bottom.
During the session we covered these items:
Interested? Here you have the presentation and the recording of the webinar.
The Interactive Advertising Bureau (IAB) is perhaps the most influential organization in the online advertising business and, currently, brings together more than 650 leading companies in the industry that control 86% of the U.S. market. With a strong presence in the rest of the industrialized world as well, today IAB has become a standard for content classification, especially in fields with strong ties to the digital economy and new social media.
In fact, IAB promotes advertising techniques like behavioral targeting, which allows advertisers to direct marketing campaigns to specific users (according to their age, place of residence, political views, interests, etc.) and thus increase their effectiveness. What’s more, the organization is making consistent progress in the field of geotargeting, an area of digital marketing that is on the rise thanks to the unprecedented diffusion of mobile devices connected to the Internet and the latest advances in Internet-of-things technologies. Continue reading
Voice of the Employee gathers the needs, wishes, hopes, and preferences of all employees within an organization. The VoE takes into account both explicit needs, such as salaries, career, health, and retirement, as well as tacit needs such as job satisfaction and the respect of co-workers and supervisors. This post follows the line of Voice of the Customer in Excel: creating a dashboard. We are creating another dashboard, this time for the Voice of the Employee.
Text-based data sources are a key factor for any organization that wants to understand the “whys”.
MeaningCloud sponsors the E-pharma 2018 which is taking place in New York, March 21-23. MeaningCloud’s value proposition for the conference can be summarized as AI-based Voice of the Patient analysis for Patient Experience.
ePharma 2018 is about patient-centricity and engaging with patients with digital marketing.For pharmaceutical companies, it is vital to understand the feedback that their customers, both current and potential, express through all types of channels and contact points.
Tourism is one of the largest economic activities, with statistics indicating that people spend more discretionary income on travel than on home improvement, financial investment, or even health.
But how people travel is changing. For example, people are spending more and more time researching trip details on their mobile devices. In 2016, 40% of US travel site visits and 60% of searches for destination information came from mobile devices, and travelers are increasingly consuming and publishing information on tourism in online travel agencies, social networks, or review sites such as TripAdvisor, Booking.com, etc.
A new generation of contextual semantic analysis applications allow us to leverage all that information and communicate more naturally with hyperconnected tourists. These applications range from analyzing comments on social media to understanding natural language which allows us to develop much more conversational assistants and bots.
MeaningCloud and LaBDA research group were present at the TAC 2017 conference held on November 13th – 14th at NIST headquarters in Washington. In the Text Analysis Conferences, research groups from all over the world were invited to develop software systems to tackle text analytics-related problems. This year, one task was devoted to the automatic identification of adverse drug reactions (ADRs) appearing in drug labels, including features defining the ADR, such as its severity or if it is characteristic of a drug class instead of just a given drug. There has been a specific subtask to link the identified ADRs with their corresponding MedDRA codes and lexical terms. More than 10 research teams have taken part in the project, all of them applying some kind of deep learning approach to the problem. Results show that it is possible to reach 8
5% accuracy when identifying ADRs.
We were delighted to present our text analytics-based system for ADRs identification on drug labels, which combines natural language processing and machine learning algorithms. The system has been built as a joint effort between MeaningCloud and LaBDA research group at the Universidad Carlos III de Madrid. Identifying ADRs is a basic task for pharmacovigilance, and that is the reason why the Federal Drug Administration (FDA) is involved in the funding and definition of the ADRs identification tasks in the framework of the Text Analysis Conferences. We have learned a lot these days (e.g., a BiLSTM deep neural network is the best choice for the purpose), and shared pleasant moments with our colleagues at Washington. We hope to be able to attend next year’s edition, which will focus on the extraction of drug-drug interactions (DDI), another interesting task aimed at detecting situations where the use of a combination of drugs may lead to an adverse effect.
Konplik.Health begins operations with the health-related assets from MeaningCloud, including its leading natural language processing, deep semantic analysis, AI platform, and adaptations specific to the life sciences.
Adverse Drug Reactions (ADRs) are the biggest safety concern in the health field.
Artificial Intelligence can decisively contribute to promote patient safety, proactively monitor adverse events and understand their impact in every phase of development.
Text-based Artificial Intelligence for the Pharma Industry
At MeaningCloud, we are proud to sponsor the Eye for Pharma Conference. Data, Evidence and Access Summit 2017. November 13-14th, 2017 – Philadelphia, US. MeaningCloud’s value proposition for the conference can be summarized as Text-Based Information with Artificial Intelligence.
Eye for Pharma is about demonstrating and communicating value, no matter which department you’re in. Whether it’s exploring innovative uses of real-world evidence (RWE) or creating new outcomes-based pricing models, only by embracing the power of data can you fully unlock the value of your drugs. It is a great opportunity for learning and networking.
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