20240029818. COMPUTATIONAL ANALYSIS OF BIOLOGICAL DATA USING MANIFOLD AND A HYPERPLANE simplified abstract (MeMed Diagnostics Ltd.)

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COMPUTATIONAL ANALYSIS OF BIOLOGICAL DATA USING MANIFOLD AND A HYPERPLANE

Organization Name

MeMed Diagnostics Ltd.

Inventor(s)

Eran Eden of Haifa (IL)

Kfir Oved of Hof HaCarmel (IL)

Roy Navon of Tel-Aviv (IL)

Assaf Cohen-dotan of Natania (IL)

Olga Boico of Atlit (IL)

COMPUTATIONAL ANALYSIS OF BIOLOGICAL DATA USING MANIFOLD AND A HYPERPLANE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240029818 titled 'COMPUTATIONAL ANALYSIS OF BIOLOGICAL DATA USING MANIFOLD AND A HYPERPLANE

Simplified Explanation

The abstract describes a method for analyzing biological data related to the expression values of multiple polypeptides in a subject's blood. The method involves calculating the distance between a segment of a curved line and an axis defined by a direction. This distance is calculated at a specific point on the curved line, determined by a coordinate along the direction. The method also includes correlating this distance to the presence, absence, or likelihood of a bacterial infection in the subject. The coordinate is defined by a combination of the expression values, where at least 90% of the segment falls between a lower bound line and an upper bound line.

  • The method involves analyzing expression values of polypeptides in the blood of a subject.
  • It calculates the distance between a segment of a curved line and an axis defined by a direction.
  • The distance is calculated at a specific point on the curved line determined by a coordinate along the direction.
  • The method correlates this distance to the presence, absence, or likelihood of a bacterial infection in the subject.
  • The coordinate is defined by a combination of the expression values.
  • At least 90% of the segment falls between a lower bound line and an upper bound line.

Potential applications of this technology:

  • Early detection of bacterial infections in subjects based on blood expression values.
  • Monitoring the progression or response to treatment of bacterial infections.
  • Identifying individuals at higher risk for bacterial infections.

Problems solved by this technology:

  • Current methods for detecting bacterial infections may be time-consuming and require invasive procedures.
  • This method provides a non-invasive and potentially faster way to assess the likelihood of a bacterial infection.

Benefits of this technology:

  • Enables early detection and intervention for bacterial infections.
  • Reduces the need for invasive procedures.
  • Provides a more efficient and accurate method for assessing the presence or likelihood of bacterial infections.


Original Abstract Submitted

a method of analyzing biological data containing expression values of a plurality of polypeptides in the blood of a subject. the method comprises: calculating a distance between a segment of a curved line and an axis defined by a direction, the distance being calculated at a point over the curved line defined by a coordinate along the direction. the method further comprises correlating the distance to the presence of, absence of, or likelihood that the subject has, a bacterial infection. the coordinate is defined by a combination of the expression values, wherein at least 90% of the segment is between a lower bound line and an upper bound line.

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