Uppsala, Sweden

Tobias Sjoblom

USPTO Granted Patents = 4 

Average Co-Inventor Count = 7.3

ph-index = 2

Forward Citations = 6(Granted Patents)


Location History:

  • Baltimore, MD (US) (2014)
  • Uppsala, SE (2017 - 2020)

Company Filing History:


Years Active: 2014-2020

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4 patents (USPTO):Explore Patents

Title: Innovations by Tobias Sjoblom: Pioneering Cancer Research and Image Recognition Techniques

Introduction

Tobias Sjoblom, an accomplished inventor based in Uppsala, Sweden, has made significant contributions in the fields of cancer research and digital image classification. With a total of four patents to his name, Sjoblom’s work demonstrates a commitment to innovation and a keen understanding of complex biological and computational systems.

Latest Patents

His latest patents include groundbreaking research on consensus coding sequences of human breast and colorectal cancers. This work involved an extensive analysis of 13,023 genes across 11 breast and 11 colorectal cancers, revealing that individual tumors generally accumulate about 90 mutant genes. However, only a specific subset contributes to the neoplastic process. By applying stringent criteria, Sjoblom identified 189 genes, averaging 11 per tumor, that were mutated with significant frequency. Notably, many of these genes were previously unrecognized as genetically altered in tumors and have the potential to impact various cellular functions, including transcription, adhesion, and invasion. This research not only delineates the genetic landscape of two critical cancer types but also provides new targets for diagnostic and therapeutic interventions.

Another innovative patent developed by Sjoblom involves a Poisson-binomial based image recognition method and system. This improved approach for digital image classification involves a host computer coupled with a processor and a memory storing reference feature data. A graphics processing unit (GPU) is designed to classify digital images based on determined semi-metric distances derived from Poisson-Binomial distribution comparisons. This system represents a significant advancement in digital image classification technologies, enhancing accuracy and efficiency.

Career Highlights

Sjoblom has built a robust career through his associations with respected institutions such as The Johns Hopkins University and Temasek Life Sciences Laboratory Limited. These experiences reflect his dedication to addressing complex scientific challenges and fostering innovation in both academic and research settings.

Collaborations

Throughout his career, Sjoblom has collaborated with esteemed colleagues, including Sian Jones and D Williams Parsons. These partnerships have undoubtedly contributed to the refinement and success of his innovative endeavors, showcasing the importance of teamwork in the scientific community.

Conclusion

Tobias Sjoblom’s work exemplifies the spirit of innovation, particularly in the realm of cancer research and digital technology. With his impressive portfolio of patents and collaborative spirit, he continues to make meaningful contributions that have the potential to impact fields significantly. His dedication to advancing knowledge and technologies is commendable, positioning him as a prominent figure in his field.

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