Biotech Catalyst Tracker
Each morning the agent pulls fresh FDA and EMA approval announcements, clinical trial readouts, and biotech deal news, filters them against a watchlist of companies, drugs, and indications, logs each event to a tracking sheet with sentiment and impact scores, and emails a prioritized digest before market open.
Agent snapshot
Built for healthcare work, not a generic template.
0
template uses
1
catalog view
2
integrations used
2
labels matched
Sample input
Build an agent to biotech Catalyst Tracker. Use Google Sheets and Gmail. Focus on operations. Return a ready-to-review result after each run.
Sample output
Every morning, scans FDA and EMA approvals, clinical trial readouts, and biotech M&A for your watchlist, dedupes against the past 14 days, and emails you a ranked digest with sentiment.
Workflow brief
Where Biotech Catalyst Tracker fits in a healthcare automation system
Biotech Catalyst Tracker is designed for a specific recurring job: each morning the agent pulls fresh FDA and EMA approval announcements, clinical trial readouts, and biotech deal news, filters them against a watchlist of companies, drugs, and indications, logs each event to a tracking sheet with sentiment and impact scores, and emails a prioritized digest before market open. The agent page keeps the workflow concrete by showing the connected apps, the input a team can give Twin, and the output the run is expected to produce.
A team can start from this public template, adjust the instructions, connect the relevant accounts, and schedule the agent once the review path is clear. That makes it useful for repeatable work where the same research, update, summary, or follow-up needs to happen again.
In this setup Twin uses Google Sheets and Gmail as source systems, action targets, or reporting destinations. The agent can combine those tools with browser automation and API calls when the workflow crosses systems.
What this agent automates
This run includes 8 concrete steps from the published agent data.
Read watchlist of companies, drugs, and indications from setup fields and the tracking sheet
Run targeted web searches for each selected event type across regulators, registries, and biotech press
Match results against the watchlist by company name, ticker, generic/brand drug name, or indication
Use Twin AI to extract event metadata, classify sentiment, and write a one-line analyst summary
Score impact based on event type, phase, and watchlist priority; rank events for the digest
Dedupe against rows from the past N days in the tracking sheet using source URL and event signature
Integrations used
Biotech Catalyst Tracker connects Google Sheets and Gmail.
Google Sheets
Connected in this agent
Gmail
Connected in this agent
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