Healthcare and pharma

Healthcare Data Science vs. Healthcare Informatics (and why the difference matters)
Data scienceNatural language processing

Healthcare Data Science vs. Healthcare Informatics (and why the difference matters)

Informatics and data science in any sector, and not just healthcare, are two very distinct fields. While informatics focuses on coming up with systems for the collection, storage, and management of data, data science is all about using the right tools to gain valuable insights through complex analytics.

Natural language processing capabilities and use cases - the 2023 report
Data scienceProject management

Natural language processing capabilities and use cases - the 2023 report

NLP use cases have grown significantly in recent years. From NLP use cases in finance to NLP in healthcare use cases, we explore the various uses for business.

How can we assess the risk of a clinical trial using AI?
Ai and societyData science

How can we assess the risk of a clinical trial using AI?

We designed the Clinical Trial Risk Tool, a clinical trial risk assessment tool using AI and NLP to quantify the risk of a trial ending uninformatively.

Video about Harmony
Ai and societyData science

Video about Harmony

Do you need to compare questionnaire data across studies? Are the items inconsistent, or are there different versions of the same questionnaire floating around?

Harmonising Unstructured Text Data with NLP in Psychology  (Harmony project)
Ai and societyData science

Harmonising Unstructured Text Data with NLP in Psychology (Harmony project)

We have been developing a tool using Natural Language Processing which is designed to help researchers in the social sciences to harmonise datasets from different contexts.

Harmonising mental health data
Ai and societyData science

Harmonising mental health data

We excited to announce that we are working on a new project called Harmony for the Wellcome Trust Mental Health Data Prize - this uses natural language processing to combine data in the social sciences from different questionnaires, such as the GAD-7 and Beck’s Anxiety Inventory, even when the questionnaires are in different languages!

The Use of AI in Healthcare
Data scienceHealthcare and pharma

The Use of AI in Healthcare

How AI and machine learning are transforming healthcare. The use of Artificial Intelligence (AI) in the healthcare field is already expanding monumentally, showing its application in many subsets and providing benefits to companies, physicians, and patients alike.

What is Hybrid AI? Everything you need to know
Data scienceHealthcare and pharma

What is Hybrid AI? Everything you need to know

How Hybrid AI can combine the best of symbolic AI and machine learning to predict salaries, clinical trial risk and costs, and enhance chatbots.

Machine learning for business: formulas or intuition?
Ai and societyData science

Machine learning for business: formulas or intuition?

Many applications of machine learning in business are complex, but we can achieve a lot by scoring risk on an additive scale from 0 to 10.

What is natural language processing with examples?
Data scienceHealthcare and pharma

What is natural language processing with examples?

Natural language processing (NLP) is the science of getting computers to talk, or interact with humans in human language. Examples of natural language processing include speech recognition, spell check, autocomplete, chatbots, and search engines.

Midwives' Voices, Midwives' Demands NLP Dashboard
Ai and societyData science

Midwives' Voices, Midwives' Demands NLP Dashboard

Today, Thursday 5 May, is being celebrated worldwide as the International Day of the Midwife, organised by the International Confederation of Midwives.

Revolutionising Data Science at Non-Profits
Ai and societyData science

Revolutionising Data Science at Non-Profits

How can natural language processing and data science help non-profits (charities) such as the White Ribbon Alliance analyse survey data and share it with the world?

What we can do for you

Transform Unstructured Data into Actionable Insights

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