Nucleo Research, Inc.

About Nucleo Research, Inc.

Nucleo provides automated AI technology to streamline clinical workflows in oncology care using CT scan analysis. The platform offers automatic quantification of body composition, precise tumor lesion sizing, and lesion classification based on RECIST criteria. This automation accelerates analysis compared to manual segmentation, improving consistency in diagnostic imaging review.

Nucleo provides automated AI technology to streamline clinical workflows in oncology care using CT scan analysis. The platform offers automatic quantification of body composition, precise tumor lesion sizing, and lesion classification based on RECIST criteria. This automation accelerates analysis compared to manual segmentation, improving consistency in diagnostic imaging review.

What does Nucleo Research, Inc. do?

Nucleo provides automated AI technology to streamline clinical workflows in oncology care using CT scan analysis. The platform offers automatic quantification of body composition, precise tumor lesion sizing, and lesion classification based on RECIST criteria. This automation accelerates analysis compared to manual segmentation, improving consistency in diagnostic imaging review.

Who founded Nucleo Research, Inc.?

Nucleo Research, Inc. was founded by Angelica Iacovelli.

  • Angelica Iacovelli - CEO
Employees
3 employees
Investors
Lombardstreet

Nucleo Research, Inc.

Executive Summary

Nucleo provides automated AI technology to streamline clinical workflows in oncology care using CT scan analysis. The platform offers automatic quantification of body composition, precise tumor lesion sizing, and lesion classification based on RECIST criteria. This automation accelerates analysis compared to manual segmentation, improving consistency in diagnostic imaging review.

nucleoresearch.com300+

Funding

Backed by

Lombardstreet

Team (<5)

Angelica Iacovelli

CEO

Company Description

Nucleo provides automated AI technology to streamline clinical workflows in oncology care using CT scan analysis. The platform offers automatic quantification of body composition, precise tumor lesion sizing, and lesion classification based on RECIST criteria. This automation accelerates analysis compared to manual segmentation, improving consistency in diagnostic imaging review.

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