Eric Lefkofksy: Centralized Data Collection for Cancer Research

Eric Lefkofksy of TempusLabs explains that Cancer Moonshot tries to address this problem but requires a significant amount of application in order to do so. This is because physicians often use individualized data analysis procedures and techniques, isolating large amounts of patient data. The way that cancer research will improve is by collecting large-scale molecular data with multiple institutions, hospitals and medical centers.

This would take genomic and molecular profiling to a larger level because patients will be able to record much more data as a collective set. Finding relevant patterns through this clinical analysis will help build technology platforms and allows doctors the opportunity to work with new therapies. Biological and digital information can be modeled easier and treatment methods can be more precisely involved in what effects each patient and their condition.

Building scalable research platforms will be central to the development of cancer research and treatment methods in the future. Vivo end in vitro methods can also be used to impact the way patients diseases are defined and treated. The crossover between data analysis software and existing healthcare system infrastructure will allow for cancer research to take place in a responsible and successive way.

Tempus is one organization that aims to help physicians deliver greater care and personalized attention to cancer patients. This is done by including big data and learning tools in the process of documenting and designing treatment plans. Numerous geneticist and biology involved in computational data as well as engineers have been involved with the process of cancer documentation and infrastructure. By creating tools needed to establish molecular information, cancer research can use genetic sequencing and novel therapies when treating cancer patients. These insights are applicable to radiology, pathology, oncology and surgery.

Tempus aims to incorporate data analysis and related software in the way that cancer research takes place in the present and future. Building a platform that connects positions and healthcare research institutes can centralize data collection and allow for larger pools when sampling and and analyzing patient outcomes. These kinds of tools will help improve the way that physicians contribute to research while new technologies are developed over time.

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