February 18, 2026

E30 - Automating Cancer Pain Assessment

10 minutes

E30 | 11 min | Latest | Publication Link

Podcast based on: Cascella, M.; Perri, F.; Ottaiano, A.; Santorsola, M.; Marciano, M.L.; Rampetta, F.R.; Pontone, M.; Crispo, A.; Sabbatino, F.; Franci, G.; Esposito, W.; Cisale, G.; Romano, M.; Amato, F.; Scuotto, A.; Santoriello, V.; Ponsiglione, A.M. Linking Cancer Pain Features and Biosignals for Automatic Pain Assessment. Cancers 2026, 18, 646. https://doi.org/10.3390/cancers18040646

Type: Article | Publication date: 16 February 2026

Summary: Although pain is a frequent and burdensome symptom in people with cancer, it is commonly evaluated using self-reported scales that may be unreliable in patients with cognitive, communicative, or clinical limitations. This study explored whether objective physiological signals could enhance cancer pain assessment. We analyzed electrodermal activity and heart rate variability recorded in cancer patients and examined their relationships with pain intensity and pain type. The results indicate that specific electrodermal activity parameters are associated with both pain intensity and distinct pain phenotypes (mainly mixed pain). In contrast, heart rate variability failed to provide meaningful discrimination in this context. Despite limitations, these findings suggest that electrodermal activity may represent a valuable objective marker to complement conventional pain scales and support the development of automated pain assessment approaches in oncology.

Keywords: cancer pain; breakthrough cancer pain; biosignals; electrodermal activity; automatic pain assessment; heart rate variability

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This podcast provides a synthetically generated voice summary and discussion of scientific publications. The views expressed do not represent the views of the original authors, journals, or publishers. This podcast uses AI-assisted summaries, so it may or may not introduce inaccuracies or omit important details. Listeners are strongly encouraged to consult the original publications or sources for full context and accuracy. This podcast is for educational and informational purposes only and does not constitute clinical advice, medical guidance, or recommendations. The creators of this podcast are not liable for any errors, omissions, or outcomes resulting from the use of the information provided.

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