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END-TO-END-Clinical-SAS-Project-Oncology

This project showcases an end-to-end clinical Trial data transformation workflow for a Phase III Oncology (Lung Cancer) clinical trial (ONCO-PEMBRO-500) using SAS OnDemand. It demonstrates complete CDISC implementation from simulated raw data to SDTM mapping, ADaM analysis-ready datasets, and regulatory-compliant TLFs with QC validation.

Details

External ID
1371268991
Source
GITHUB
Company
—
Product
END-TO-END-Clinical-SAS-Project-Oncology
Website domain
github.com
Launched
Sept. 15, 2026
Cohort
—
Upvotes
11
Upvotes percentile
0.33858570330514987
Tags
—
Fetched at
Sept. 19, 2026, 5:02 p.m.
Updated at
Sept. 19, 2026, 5:02 p.m.

Enrichment

Theme
computational biology and personalized therapeutics
Vertical
Healthcare
Function
Analytics & BI
Audience
Prosumer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
cdisc sdtm and adam clinical trial data pipeline in sas
Manually corrected
False

Could you build this?

No Clinical trial data conversion requires rigorous biostatistical domain knowledge, complex regulatory standards (CDISC SDTM/ADaM), and validated double-programming QC procedures that AI coding assistants cannot substitute for.

What it would actually take: Requires an enterprise SAS programming suite or specialized pharmaceutical data pipelines (e.g., R pharmaverse) adhering strictly to FDA/ICH guidelines. The hard parts are defining CDISC SDTM/ADaM mapping specifications, handling intricate oncology endpoints like RECIST 1.1 progression-free survival, and executing dual-independent statistical validation.

Competitors

Other products that read as similar to this one — 15 launches clear the similarity bar, closest 8 shown.

Attention rank: #13 of 16 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 313 days after the earliest competitor.

Other launches for this product

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