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Carcinoma Squamous Articles & Analysis: Older

4 articles found

A new model using artificial intelligence to predict recurrence after surgical resection of stage I-II non-small cell lung cancer.

A new model using artificial intelligence to predict recurrence after surgical resection of stage I-II non-small cell lung cancer.

Methods: We identified 275 patients who underwent surgical resection for pathologic stage I-II lung adenocarcinoma or squamous cell carcinoma from 2009 to 2019 in our institution’s prospective surgical database. ...

ByAuspex Diagnostics


Synthetic lethal kinases in Ras/p53 mutant squamous cell carcinoma

Synthetic lethal kinases in Ras/p53 mutant squamous cell carcinoma

To discover novel druggable targets for cancers carrying co-mutations in Ras and p53, we performed arrayed, kinome focused siRNA and oncology drug phenotypic screening utilizing a set of syngeneic Ras mutant squamous cell carcinoma (SCC) cell lines that also carried co-mutations in selected p53 pathway genes. ...

BySEngine Precision Medicine


Spanish Cancer Company Universal Dx to Commercialize Methylation Method for Lung Cancer Detection

Spanish Cancer Company Universal Dx to Commercialize Methylation Method for Lung Cancer Detection

In a study abstract presented at WCLC, Universal Dx and its academic collaborators collected plasma samples from 37 patients with stages l-IV lung cancer, including 11 adenocarcinoma, 10 squamous cell carcinoma, 11 small cell lung cancer (SCLC), and five rare lung cancer subtypes (large cell, carcinoid tumors). ...

ByUniversal Diagnostics SL


Many Faces of Sepsis (1): Cancer Therapy and Management Febrile Neutropenia - Case Study

Many Faces of Sepsis (1): Cancer Therapy and Management Febrile Neutropenia - Case Study

The purpose of this case study is to highlight ways in which medical algorithms can be integrated into the clinical decision making process. This case study is the first of a series focused on sepsis, a common but complex clinical problem. Use of algorithms can help healthcare providers diagnose sepsis early. Throughout our discussion, appropriate algorithms are suggested to help clinicians ...

ByThe Medical Algorithms Company Limited

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