use case
Target-Disease Association

Connect targets and diseases with confidence,
in seconds

Quickly find the right target-disease connections so your team can focus on science, not search.

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The high-stakes science of getting targets right

Selecting the right biological targets is a high-stakes decision that can define the success of a therapeutic program. But finding truly disease-relevant targets is incredibly complex. Smarter target selection is about making those connections faster and with greater clarity and confidence. It means linking genes, proteins, or pathways to diseases based on high-quality, contextualized evidence.

When done right, it unlocks therapeutic opportunities with real clinical potential. But the path to confident decisions is often blocked by data fragmentation and research silos.

The challenge: volume, complexity, and noise

Life Sciences R&D teams face a mountain of disconnected data. Genetic studies, omics data, and clinical observations are scattered across siloed systems (both internal and external), publications, and formats.

Manual methods drain resources and extend timelines. Researchers spend hours combing through biomedical papers, research reports, experimental data, and databases, only to end up with incomplete or biased analyses. Parsing that volume manually isn’t just slow, it’s risky: without a clear way to evaluate evidence, promising targets get overlooked, and weak associations can get prioritized.

In a sea of articles, data sources, and data points, how do you surface what really matters?
Testimonials

Faster answers and deeper insights

“Causaly is my go-to tool for researching drug-disease associations because it is an easy way to look for relevant publications. The quality of the results is better because I see diseases and not documents; I think the relevance of the articles is much higher in Causaly vs the others and I can even refine the searches through the filters.”

Senior Medical Information Analyst

Top 20 Pharma

“One of the most valuable things about Causaly is that it doesn't cost you time in the lab. You can find something on the platform and look at the experiments performed; what are the methods used, can they be reproduced, do you agree with the results. This helps with understanding what validation experiments to conduct.”

Data Science Specialist

Top 20 Pharma

“As soon as I started using Causaly, I immediately realized its benefits. It helps me a lot in my day-to-day work interpreting a range of data and understanding connections with the disease, and I find myself always coming back to Causaly.”

TranslationalResearch Scientist

Top 20 Pharma

Proven productivity benefits to life science organizations

77%

Of scientists believe that Causaly improves their decision-making.

(Source: Causaly customer survey.)

40%

Average time savings observed.

(Source: Causaly customer survey.)

$26-42M

Potential cost savings to be realized

(through efficiency gains across a typical organization of 5,000+ scientists; and faster deprioritizing non-viable targets.)

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Get to know Causaly

What would you ask the team behind life sciences’ most advanced AI? Request a demo and get to know Causaly.

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