Uji, Japan

Shigeki Kajihara



Average Co-Inventor Count = 2.1

ph-index = 7

Forward Citations = 180(Granted Patents)


Location History:

  • Uji, JP (1997 - 2022)
  • Kyoto, JP (2003 - 2022)

Company Filing History:


Years Active: 1997-2022

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22 patents (USPTO):Explore Patents

Title: Shigeki Kajihara - Innovator in Mass Spectrometry

Introduction

Shigeki Kajihara is a prominent inventor based in Uji, Japan, known for his contributions to the field of mass spectrometry. With an impressive portfolio of 22 patents, he has significantly advanced the reliability and methodology of cancer diagnosis through innovative analytical techniques.

Latest Patents

Kajihara's latest patent innovations include a mass spectrometric data analysis device and analysis method aimed at enhancing cancer diagnosis. This method utilizes machine learning to improve the reliability of mutual diagnosis in cancer determination. By storing m/z values of ions from tumor markers in a dedicated database, Kajihara's invention efficiently filters out irrelevant signal intensities from mass spectra, allowing for more accurate sample classification into cancerous and non-cancerous groups. Another significant patent involves an analytical data analysis method, which applies machine learning to generated simulated data with controlled variations, ensuring that the identification process remains intact while enhancing discrimination capabilities.

Career Highlights

Throughout his career, Kajihara has made notable contributions while working at Shimadzu Corporation, where he has developed various analytical instruments and techniques that streamline the analysis of complex biological materials and facilitate advancements in cancer research.

Collaborations

Kajihara has collaborated with esteemed professionals such as Sadamu Tomita and Yoshikazu Yoshida. These partnerships have enriched his work and led to impactful innovations in analytical methodologies, particularly in the realm of mass spectrometry.

Conclusion

Shigeki Kajihara's contributions to mass spectrometry and cancer diagnostics exemplify the importance of innovation in modern medicine. His dedication to improving analytical techniques through machine learning and valuable collaborations continues to influence the field significantly.

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