Altio-AI

Altio-AI/open-altio

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

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adverse-events drug-safety duckdb faers fda open-data pharmacovigilance python
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41 Open Issues Need Help Last updated: Oct 19, 2026

Open Issues Need Help

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Rule: pin a drug to its DailyMed label by hand when the mapping misses it, kept current by the daily refresh 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: grow the reviewed list of reaction terms that mean the same, one tested pair at a time 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: does the reported indication hint at the drug's form? Analysis first 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: show each provisional label fix's own effect in notebook 10, so each can be ruled yes or undo 16 days ago
help wanted type: feature area: rules area: docs
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: keep a label section's subsections, and read a label with no safety text as Not compared 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: make tips and links look different (dotted and solid underline), drawn first 16 days ago
help wanted type: feature area: explorer
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: re-upload changed label tables for downloads each day 16 days ago
help wanted type: feature area: pipeline area: explorer
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: a Label column on the All cases tab 16 days ago
help wanted type: feature area: explorer
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: read a treated disease named inside a longer indication (Dupixent and nasal polyps) 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: carry reviewed label answers across a MedDRA version change 16 days ago
help wanted type: feature area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: let an originator brand with no DailyMed mapping row compete for its own ingredient's label 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: read the label's drug abuse and dependence section as a safety section 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: review label table rows that do not line up one label at a time, the whole table on one screen, one click per row 16 days ago
help wanted type: feature area: rules area: explorer
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: realistic dose ranges for each product, reviewed before any dose decides a class 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: a reviewed dose-form table that keeps what FDA's words say, and no more 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: read the dose from older reports' free text, so dose rules reach 2004 to 2012 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: choose a two-use drug's class from the reported indication when dose and route can't 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: give a combination WHO's \"X, combinations\" class when one of its ingredients names it 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: a release you rebuild keeps your MedDRA, read to the newest version you hold 16 days ago
help wanted type: feature area: pipeline area: explorer
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: a trial and placebo flag from DiAna and the raw drug name, published with its reliability by quarter 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: count insulins by type and the two tenofovir prodrugs apart, where the spelling says which 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: a quarterly top-up of drug-name mappings before each release, and DiAna's updates taken by checksum 16 days ago
help wanted type: feature area: pipeline
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: model proposals for unmapped drug spellings seen five times or more, reviewed most frequent first 16 days ago
help wanted type: feature area: pipeline
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: propose ingredients for drug spellings DiAna leaves unmapped, by reviewed rules, newest quarters first 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Data: map the sender names of older reports (2004 to 2012) to the company names FAERS uses 16 days ago
help wanted type: data area: pipeline
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Docs: say which notebooks run on the one-quarter demo release 16 days ago
good first issue type: docs area: docs status: ready
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: a test that every column of a release is in the data dictionary 16 days ago
good first issue type: docs area: docs status: ready
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Docs: show how to read a release in R 16 days ago
good first issue type: docs area: docs status: ready
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: send Improve this notes to your own inbox by SMTP, for a copy run for a team 16 days ago
good first issue type: feature area: explorer status: ready
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Bug: an age or a weight written with a leading point (.9) is read as empty 16 days ago
good first issue type: bug area: pipeline status: ready
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Bug: retired country codes show the wrong country (AN shows Curaçao, CS and YU show Serbia) 16 days ago
good first issue type: bug area: explorer status: ready
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: a probability that two cases are one, for the cases exact rules cannot compare 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: match duplicates on any version of a case, not only its latest 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: a tick box for every rule that decides which cases count 16 days ago
help wanted type: feature area: pipeline area: rules area: explorer
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: \"How these cases were chosen\" beside the explorer's counts 16 days ago
help wanted type: feature area: explorer
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: a sweep that tests every field and combination for reporting artifacts 16 days ago
help wanted type: feature area: pipeline
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: disproportionality statistics and case charts in the explorer 16 days ago
help wanted type: feature area: explorer
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: EBGM with EB05 and EB95, written from the published papers 16 days ago
help wanted type: feature area: pipeline
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Idea: count and search reactions under today's MedDRA terms in the explorer and the statistics 16 days ago
help wanted type: feature area: explorer
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: link renamed companies and their arms to the company that owns them, with dates 16 days ago
help wanted type: rule area: pipeline area: explorer
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python
Rule: clean sex, age, weight, country and dates, with the evidence for each choice 16 days ago
help wanted type: rule area: pipeline area: rules
Altio-AI/open-altio
0

FDA's adverse event reports (FAERS), cleaned and deduplicated in the open: the pipeline, the rules, the evidence and a local explorer.

Jupyter Notebook
#adverse-events#drug-safety#duckdb#faers#fda#open-data#pharmacovigilance#python