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Abstract 2750: Leveraging machine-learning approaches to dissect drivers of clinical metastatic dynamics in lung adenocarcinoma

Year: 2024

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2024-2750

Authors: Tyler Aprati, Michael Manos, Giuseppe Tarantino, Marc Glettig, Maryclare Griffin, Alexander Gusev, Kenneth Kehl, David Liu

Institutions: Dana-Farber Cancer Institute, University of Massachusetts Amherst

Language: English

Topic: Lung Cancer Treatments and Mutations

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4393092530

Cites:

Cited by: 1

Related to: 10