AI research automation for pharma and healthcare

Read papers faster, watch regulator pages for changes and pull trial data from dozens of tabs.

Used by professionals at
  • Roche
Use cases

Three jobs to hand to HARPA first.

01

Know when a regulator page changes

Guidance, safety notices and label pages change without notice. Know the day they do, without checking each one.

  1. Open the FDA, EMA or journal page, then the Automate tab.
  2. Set up Page text changes: Changes by more than 5%, or Text appears… with a name you track.
  3. Check every day. Tell me by Email.
  4. Open the monitor to see how much changed, each change in its history.

Good to knowA monitor says that a page changed, not what it means. For that in words, schedule a command that summarizes the page into your Inbox.

02

Papers read in minutes

From a 30-page paper you need the design, the endpoints and the results. Ask the PDF for them.

  1. Open the paper in Chrome and click Summarize this PDF, or attach the file with the paperclip.
  2. Ask for the methods, endpoints and results, one follow-up at a time.
  3. Pull out the key numbers turns the figures into a table.
  4. For a very long file, a command with a Chunked GPT step reads it in parts.

Good to knowAnswers don’t cite page numbers: check a figure in the document before you quote it.

03

Screen 40 abstracts at once

Screening search results for a review is reading the same fields forty times. Let one command read them all.

  1. Open each abstract from your search in tabs.
  2. Make a command that asks for the design, population and primary endpoint, as JSON.
  3. Choose Run on tabs…, select Like this page, answer its questions once and Run on N tabs.
  4. Export CSV: one row per page, one column per field.

Good to knowEach answer is capped at 4,000 characters. Bulk runs use HARPA AI cloud credits or your own OpenAI key, not a ChatGPT login.

With your own API keys, prompts go straight to your provider. With a local model, they stay on your machine.

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