Home ›
Entities
› academia
› Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study.
Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study.
Research article (Applied Intelligence, 2022) · cited 23× · AI/ML
Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study.
Summary
Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study. is a scholarly article[1].
Key Facts
Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study.'s instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study.. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-characterization-of-cancer-patients-derived-extracellular-vesicles-using-vibrational-spectroscopies-res
MLA“Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study..” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-characterization-of-cancer-patients-derived-extracellular-vesicles-using-vibrational-spectroscopies-res.
BibTeX@misc{4ortxyz_machine-learning-characterization-of-cancer-patients-derived-extracellular-vesicles-using-vibrational-spectroscopies-res_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study.}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-characterization-of-cancer-patients-derived-extracellular-vesicles-using-vibrational-spectroscopies-res}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning characterization of cancer patients-derived extracellular vesicles using vibrational spectroscopies: results from a pilot study. — https://4ort.xyz/entity/machine-learning-characterization-of-cancer-patients-derived-extracellular-vesicles-using-vibrational-spectroscopies-res (retrieved 2026-05-24)