We’re proud to announce that the Clinical Trial Risk Tool has been selected as a winner of the Plotly Dash Example Apps Challenge (2023), out of 25 amazing apps submitted by the community!
Our NLP research has been published in Gates Open Research! Clinical trials are the backbone of medical progress, but a worrying trend is emerging: a large portion end without delivering useful results. This “uninformativeness” wastes valuable resources and delays advancements.
Read more about AI for business on fastdatascience.com
I’m sure you will have seen news articles and social media posts about the recent generation of language models which are able to generate human-like text. For example, I’ve seen claims that OpenAI’s GPT-3 or ChatGPT can write essays, YouTube scripts or blog posts, and even sit a bar exam.
What are artificial neural networks and how do they learn? What do we use them for? What are some examples of artificial neural networks? How do we use neural networks?
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. Get in touch with us if you need custom AI strategy consulting for healthcare.
In 2009, Hal Varian, Google Chief Economist, was quoted as saying to the McKinsey Quarterly: “The sexiest job in the next 10 years will be statisticians.”
‘Data Scientist’ was recently named by LinkedIn as “the most promising career” and according to a report by the US Bureau of Labour Statistics, there will be, on average, a 28% increase across the world in data science jobs by 2026.
A tour of the challenges you encounter when using natural language processing on multilingual data. Most of the projects that I take on involve unstructured text data in English only, but recently I have seen more and more projects involving text in different languages, often all mixed together. This makes for a fun challenge.
What we can do for you
