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Several possible studies

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How a photo of a person’s face could help predict whether they’ll survive cancer treatment | CNN (opens in a new tab)

cnn.com · 2026-10-20

Short answerEvidenceSource

Short answer

Several possible studies

Study not confirmed.

Several potential source studies were identified, but no single match could be confirmed. The article's claims remain unverified.

15 candidate papersExplore the search results

These papers were considered as possible sources, but none could be confirmed as the study behind this story.

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NewsLink checks it

Multiple potential source studies identified.

Several studies match details in the article, but none could be confirmed as its source. The claims have not been assessed against a source study.

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3

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Several studies could fit.

Several studies match details in the article, but none could be confirmed as its source. The claims have not been assessed against a source study.

Source paper

Source layer

The 2 papers the story cites

Source study separated from background citations.

The research anchor for the report.

The literature search

15 candidate papers

Studies identified during the search

These papers appeared in the search for the story’s source. None was confirmed as a direct match. Inclusion here does not mean a paper supports or contradicts the story, or that its full text was reviewed.

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Then inspect each claim

Evidence layer

Claim by claim

The article's claims are listed below. Without a confirmed source study, they have not been assessed as supported or unsupported.

Claim 1 of 6Not checkedResearchers at Mass General Brigham developed AI models that can predict a cancer patient’s biological age and chances of survival from a single photograph of the face.View evidenceHide evidence

As statedsingle photograph

Not checked

No source study was confirmed for this article. This claim remains unverified, rather than assessed as supported or unsupported.

Claim 2 of 6Not checkedThe research suggests facial analysis could become an additional tool for doctors to consider when evaluating a patient’s chances of survival and treatment options.View evidenceHide evidence

Not checked

No source study was confirmed for this article. This claim remains unverified, rather than assessed as supported or unsupported.

Claim 3 of 6Not checkedThe FAHR-FaceSurvival model identified 122 cancer patients as high risk, and more than half of them, 52.5%, died within 90 days; by contrast, about 2% of 975 patients in the lowest-risk group died within 90 days.View evidenceHide evidence

As stated52.5% versus about 2% within 90 days

Not checked

No source study was confirmed for this article. This claim remains unverified, rather than assessed as supported or unsupported.

Claim 4 of 6Not checkedFor the FAHR-FaceAge model, 21% of 1,060 patients whose biological age was more than 20 years above their chronological age died within 90 days, compared with about 6% of 4,195 patients whose biological age was at least 10 years younger than their chronological age.View evidenceHide evidence

As stated21% versus about 6% within 90 days

Not checked

No source study was confirmed for this article. This claim remains unverified, rather than assessed as supported or unsupported.

Claim 5 of 6Not checkedThe researchers said cosmetic facial changes such as surgery, injectables like Botox, or makeup did not affect the models’ performance.View evidenceHide evidence

Not checked

No source study was confirmed for this article. This claim remains unverified, rather than assessed as supported or unsupported.

Claim 6 of 6Not checkedThe authors emphasize the models are not intended to replace physicians or existing clinical evaluations, and experts quoted in the story say the work still needs prospective clinical validation before use in practice.View evidenceHide evidence

Not checked

No source study was confirmed for this article. This claim remains unverified, rather than assessed as supported or unsupported.

Finally, the search trail

Method layer

Study not confirmed.

The search results are available for you to inspect. Without a confirmed source study, they cannot establish whether the story’s claims are supported or contradicted.

Search results

Candidate papers, not confirmed sources.

PubMed, Europe PMC, Crossref · 15 candidate papers

Candidate

Comparisons between wrinkles and photo-ageing detected and self-reported by the participant or identified by trained assessors reveal insights from Chinese individuals in the Singapore/Malaysia Cross-sectional Genetics Epidemiology Study (SMCGES) cohort.

Journal of Physiological Anthropology · 2024 · PubMed

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Candidate

Ethical Dimensions of Using Artificial Intelligence in Healthcare

Artificial Intelligence Based Cancer Nanomedicine: Diagnostics, Therapeutics and Bioethics · 2022 · Crossref

Source (opens in a new tab)

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