Healthcare Services

Faster diagnosis and improved patient outcomes

Healthcare is one of the major success stories of our times with advances in medicine, supported by progress in public health, research, innovation and technology, significantly reducing mortality and morbidity. As longevity increases, healthcare systems face growing demand for their services, rising costs and a workforce that is struggling to meet the needs of its patients. 

By 2030, AI will be able to reveal patterns in disease and aid treatment and care. Today, we’re already seeing AI-powered solutions addressing routine, repetitive and largely administrative tasks on a daily basis. The value AI and ML create in giving decision makers the ability to take meaningful action is clear to see. What’s not so clear is the long list of challenges facing the deployment of the necessary computing power required to run these AI/HPC workloads.

Edge computing at the point-of-care

Deploying IT at the point-of-care means deploying it in close proximity to people. Whether it be bedside or under a desk, people present risk to the IT in terms of accidental damage, tampering and contamination whilst the IT presents risk to the people in terms of noise, heat, germs and space consumption. Power availability, power draw and its sustainability also must be considered as does the impact of latency, resilience and scalability on real-time decision making at the point-of-care. 

Primary AI/ML-powered use cases in healthcare services

There are many AI/ML use cases being considered, trialed and rolled out around the world, but these require high-performance computing to be moved from the data center to the point-of-care 

Diagnostic Image Interpretation

Capture abnormalities, predict diseases, revaluate treatment and plan surgery

LEARN MORE right-arrow

Precision Medicine

Structured data, actionable insights, longitudinal understanding and precision diagnosis

LEARN MORE right-arrow

Next-Generation Genomic Sequencing

Understanding, integration and examination of large data sets

LEARN MORE right-arrow

How can Iceotope help?


Extreme cooling performance from the data center to the Edge

LEARN MORE right-arrow


Ultra-efficient and highly scalable Edge Computing

LEARN MORE right-arrow


Zero-touch computing for extreme edge locations

LEARN MORE right-arrow

Learning Hub

For more information about Precision Liquid Cooling, please visit our Learning Hub to explore additional resources and classes about the technology, markets and industries Iceotope supports.

How does Precision Liquid Cooling works at system and facility level

LEARN MORE right-arrow

If you have any questions you'll find the answers here

LEARN MORE right-arrow

Explore, learn, and stay ahead of Precision Liquid Cooling

LEARN MORE right-arrow


Get more insight on how Precision Liquid Cooling is accelerating a sustainable, digital world.

Why serviceability at the edge is so important

Deploying edge computing in remote locations can be challenging and expensive to maintain

LEARN MORE right-arrow

Energy Efficiency – It's just the tip of the iceberg

In the data center industry, sustainability has become a siloed discussion focused primarily on energy efficiency

LEARN MORE right-arrow

Redefining Liquid Cooling from the server to the switch

Precision Liquid Cooling technologies are changing the game when it comes to removing heat from the whole IT stack

LEARN MORE right-arrow