Sampling of Non-Small Cell Lung Cancer (NSCLC) solid tumor patient results from 2013 - 2023. Dataset includes digital pathology H&E and IHC images, 500+ gene NGS panel, FISH and other clinical data.
As an industry leader in enterprise pathology workflow software, we leverage our platform and network of labs to bridge the gap between patients and novel diagnostics through multi-modal, real-world data.
Proscia’s network unlocks access to otherwise siloed real-world data for discovery and diagnosis. We reduce time and cost by sourcing accurate, timely and high-quality datasets for even the rarest cancer biomarkers. Our curated datasets help drive innovation by uncovering personalized treatments that can transform patient outcomes.
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This listing uses a single pricing dimension. Product Access (Units) grants you access to the product at no cost. There are no tiers, instance sizes, or usage-based add-ons to compare. You subscribe under one flat structure that provides entry to the offering. Because this is a free listing, the unit does not scale to a charge as you add usage. This pathology AI product supports precision medicine work across research and diagnostic review.
Top-of-mind questions for buyers
What does the Product Access (Units) dimension grant me?
This dimension grants you access to the product as a subscriber. It works as a single flat entry point with no cost attached. You receive access to the offering, which supports pathology work across research and diagnostic review. There are no seat counts, instances, or usage meters to track.
Will my cost change as I add more users or increase usage?
No. This is a free listing with one flat dimension. The unit does not scale to a charge as you add usage or users. There are no tiers, included amounts, or overage points that could trigger a cost change. Your subscription stays at no cost.
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Prostate cancer is a type of cancer that develops in the prostate gland, a small walnut-shaped organ located below the bladder in the male reproductive system. The exact cause of prostate cancer is unknown.
Risk factors that may increase the likelihood of cancer are age (most common in men over 65), family history, race (african american men have a higher risk), and hormonal imbalance.
For this Lung Cancer dataset,four distinct cohorts have been prepared including (1) patients with confirmed nodules (2) patients with confirmed nodules and malignancy (3) patients with confirmed nodules and confounders (4) normal (negative results) for control group.