Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Applications of Machine Learning to Predict Cisplatin Resistance in Lung Cancer

1 Sept 2021

Abstract excerpt

PURPOSE: Lung cancer, mainly lung adenocarcinoma, lung squamous cell carcinoma and small cell lung cancer, has the highest incidence and cancer-related mortality worldwide. Platinum-based chemotherapy plays an important role in the treatment of various lung cancer subtypes, but not all patients benefit from this treatment regimen; thus, it is worth identifying lung cancer patients who are resistant or sensitive...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cancer Genomics and Diagnostics
Share to Ferroptosis and cancer prognosis
Share to Lung Cancer Treatments and Mutations

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34588799
DOI: 10.2147/ijgm.s329644

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Applications of Machine Learning to Predict Cisplatin Resistance in Lung CancerPMID 34588799Read ↗

Applications of Machine Learning to Predict Cisplatin Resistance in Lung CancerSemantic proximity Read ↗

Drug resistance related genes in lung adenocarcinoma predict patient prognosis and influence the tumor microenvironmentSemantic proximity Read ↗

Prediction models for platinum-based chemotherapy response and toxicity in advanced NSCLC patients.Semantic proximity Read ↗

Predicting responses to platin chemotherapy agents with biochemically-inspired machine learningSemantic proximity Read ↗

Identification and experimental verification of a novel cisplatin resistance-related lncRNA signature for predicting prognosis and immune response in lung adenocarcinoma.Semantic proximity Read ↗

Extensive prediction of drug response in mutation-subtype-specific LUAD with machine learning approach.Semantic proximity Read ↗

Transcriptome Sequencing Reveals Key Pathways and Genes Associated with Cisplatin Resistance in Lung Adenocarcinoma A549 CellsSemantic proximity Read ↗

Regulation of cisplatin resistance in lung cancer by epigenetic mechanismsSemantic proximity Read ↗

Predicting Response to Platin Chemotherapy Agents with Biochemically-inspired Machine LearningSemantic proximity Read ↗

DNAH10 mutation correlates with cisplatin sensitivity and tumor mutation burden in small-cell lung cancer.Semantic proximity Read ↗

Genome-wide examination of genetic variants associated with response to platinum-based chemotherapy in patients with small-cell lung cancer.Semantic proximity Read ↗

Computational Methods for the Analysis and Prediction of EGFR-Mutated Lung Cancer Drug Resistance: Recent Advances in Drug Design, Challenges and Future Prospects.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.