msd.ai

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Inspiration

The project is a problem statement by MSD. Healthcare professionals are required to keep up with the rapidly growing knowledge base intheir field, with over a million research articles published on PubMed every few months. This flood of information can make it difficult for healthcare professionals to extract meaningful insights from research papers and stay up-to-date on the latest advancements in their field.

What it does

To tackle this issue, we built an AI summary - sharing platform to encourage quick learning between colleagues. Primarily, the platform takes in research articles as inputs from users, and aims to summarise it, before it is posted into the shared community for all colleagues to view. The summarised articles will generate related classifications to tag them for easier identification, and also provide relatable Wikipedia links.

On top of that, users can interact with MerckBot to ask him questions pertinent to the article. If a user deem his insights useful, they can choose it to save it so other users that browse that webpage can see it too.

How we built it

We used React for the frontend, and Express for the backend. We hosted our postgresql on supabase, and hosted our backend on render. The application also currently relies on Azure's cognitive services for A.I. generation. This can be further improved in the future with more time to customise and train our model.

Accomplishments that we're proud of

Proud of learning some basics of A.I. by using Azure's services.

What's next for msd.ai

More interestingly, we see that the value of msd.ai is the possibility of integrating summarizing pipelines if we are able to partner with medical publishing companies for regular articles input from their end. This will allow msd.ai to perform batch jobs of summarising daily to churn out high quality and shortened articles to make learning more efficient for users.

Built With

• azure
• express.js
• react