One of the biggest hurdles facing medical research today is that researchers are often tasked with deducing complex health problems with only basic information. Patient data is frequently stratified by age, disease, organ or data type, and not easily available to be compared and analyzed.
As a result, researchers aren’t able to provide comprehensive patient information that includes factors such as lifestyle or environmental influences. This creates a challenge for doctors who don’t receive the best available information for deciding on the most effective patient treatment.
At T-CAIREM, we envision a future of medical research that incorporates womb-to-tomb data that’s free of artificial boundaries. We seek to establish new tools and data-driven projects that integrate clinical, translational and basic research into real-world applications. In the future, AI-assisted patient data will better inform health practitioners, allowing them to make decisions that improve treatment and health outcomes.
T-CAIREM collaborates with several organizations to create advanced tools for precision medicine. We also partner with institutions and researchers to equip health care providers with the skills to use these new tools.
T-CAIREM offers grants to innovative researchers. We seek proposals that use Artificial Intelligence to establish new capabilities and demonstrate the power of machine learning to improve medical outcomes.